# VRAM calculator: which local LLMs fit? | What Can I Run AI?

> Enter your VRAM or Mac unified memory, pick a quant and context length (4k to 256k), and see which open LLMs fit, KV cache included. Free, no signup.

Source: https://whatcanirunai.vercel.app/vram-calculator/

# VRAM calculator: which LLMs fit in your memory?

Not in our hardware list? Enter how much memory your GPU or Mac has and see instantly which of our 656 tracked open models fit, at Q4, Q8 or FP16 and at context lengths up to 256k tokens.

Memory (GB)

VRAM on a graphics card, or total RAM on a Mac.

Memory type

 Dedicated GPU (VRAM) Unified memory (Mac, Ryzen AI Max, DGX Spark)

Unified: we count about 75% as usable by the GPU.

Quantization

Context length

How much text the model keeps in view at once.

KV cache type

llama.cpp: `-ctk`/`-ctv` flags.

Reserve for other apps (GB)

E.g. 1–2 GB if this GPU also drives your display.

**388 of 656** models run fully at Q4\_K\_M in 16.0 GB usable.

Same usable memory as: [GeForce RTX 4060 Ti 16GB](https://whatcanirunai.vercel.app/hardware/rtx-4060-ti-16gb/) · [GeForce RTX 4070 Ti Super](https://whatcanirunai.vercel.app/hardware/rtx-4070-ti-super/) · [GeForce RTX 4080 Super](https://whatcanirunai.vercel.app/hardware/rtx-4080-super/) · [GeForce RTX 5080](https://whatcanirunai.vercel.app/hardware/rtx-5080/) · [Radeon RX 7600 XT](https://whatcanirunai.vercel.app/hardware/rx-7600-xt/) · [Radeon RX 7800 XT](https://whatcanirunai.vercel.app/hardware/rx-7800-xt/) · [GeForce RTX 4080](https://whatcanirunai.vercel.app/hardware/rtx-4080/) · [GeForce RTX 5060 Ti 16GB](https://whatcanirunai.vercel.app/hardware/rtx-5060-ti-16gb/) · [GeForce RTX 5070 Ti](https://whatcanirunai.vercel.app/hardware/rtx-5070-ti/) · [Radeon RX 6800](https://whatcanirunai.vercel.app/hardware/rx-6800/) · [Radeon RX 6800 XT](https://whatcanirunai.vercel.app/hardware/rx-6800-xt/) · [Radeon RX 6900 XT](https://whatcanirunai.vercel.app/hardware/rx-6900-xt/) · [Radeon RX 6950 XT](https://whatcanirunai.vercel.app/hardware/rx-6950-xt/) · [Radeon RX 7900 GRE](https://whatcanirunai.vercel.app/hardware/rx-7900-gre/) · [Radeon RX 9060 XT 16GB](https://whatcanirunai.vercel.app/hardware/rx-9060-xt-16gb/) · [Radeon RX 9070](https://whatcanirunai.vercel.app/hardware/rx-9070/) · [Radeon RX 9070 XT](https://whatcanirunai.vercel.app/hardware/rx-9070-xt/) · [Intel Arc A770 16GB](https://whatcanirunai.vercel.app/hardware/arc-a770-16gb/) · [NVIDIA RTX A4000](https://whatcanirunai.vercel.app/hardware/rtx-a4000/) · [NVIDIA RTX 2000 Ada 16GB](https://whatcanirunai.vercel.app/hardware/rtx-2000-ada/)

Sorted largest first. Bar: memory needed vs. your usable memory; the tick marks 90%, our comfort line.FitsTightWon’t fit

| Model                                                                                                                    | Need vs. 16.0 GB     | Verdict     |
| ------------------------------------------------------------------------------------------------------------------------ | -------------------- | ----------- |
| [Kimi-K3.1-Pro](https://whatcanirunai.vercel.app/models/kimi-k3.1-pro/)2780.1B params · moonshotai                                                       | **1939.3** / 16.0 GB | Q4Won’t fit |
| [Kimi-K3](https://whatcanirunai.vercel.app/models/kimi-k3/)2779.9B params · moonshotai                                                                   | **1939.1** / 16.0 GB | Q4Won’t fit |
| [Qwen3.8-2.4T-A95B](https://whatcanirunai.vercel.app/models/qwen3.8-2.4t-a95b/)2446.2B params · Qwen                                                     | **1706.4** / 16.0 GB | Q4Won’t fit |
| [LongCat-2.5](https://whatcanirunai.vercel.app/models/longcat-2.5/)1779.8B params · meituan-longcat                                                      | **1241.8** / 16.0 GB | Q4Won’t fit |
| [LongCat-2.0](https://whatcanirunai.vercel.app/models/longcat-2.0/)1775.6B params · meituan-longcat                                                      | **1238.9** / 16.0 GB | Q4Won’t fit |
| [DeepSeek-V4-Pro-0813](https://whatcanirunai.vercel.app/models/deepseek-v4-pro-0813/)1650.5B params · deepseek-ai                                        | **1151.7** / 16.0 GB | Q4Won’t fit |
| [DeepSeek-V4-Pro](https://whatcanirunai.vercel.app/models/deepseek-v4-pro/)1598.8B params · deepseek-ai                                                  | **1115.7** / 16.0 GB | Q4Won’t fit |
| [Kimi-K2.5](https://whatcanirunai.vercel.app/models/kimi-k2.5/)1026.9B params · moonshotai                                                               | **716.9** / 16.0 GB  | Q4Won’t fit |
| [Kimi-K2.6](https://whatcanirunai.vercel.app/models/kimi-k2.6/)1026.9B params · moonshotai                                                               | **716.9** / 16.0 GB  | Q4Won’t fit |
| [Kimi-K2.7-Code](https://whatcanirunai.vercel.app/models/kimi-k2.7-code/)1026.9B params · moonshotai                                                     | **716.9** / 16.0 GB  | Q4Won’t fit |
| [Kimi-K2-Thinking](https://whatcanirunai.vercel.app/models/kimi-k2-thinking/)1026.4B params · moonshotai                                                 | **716.6** / 16.0 GB  | Q4Won’t fit |
| [Kimi-K2-Instruct-0905](https://whatcanirunai.vercel.app/models/kimi-k2-instruct-0905/)1026.4B params · moonshotai                                       | **716.6** / 16.0 GB  | Q4Won’t fit |
| [Kimi-K2-Instruct](https://whatcanirunai.vercel.app/models/kimi-k2-instruct/)1026.4B params · moonshotai                                                 | **716.6** / 16.0 GB  | Q4Won’t fit |
| [MiMo-V2.6-Pro-RL](https://whatcanirunai.vercel.app/models/mimo-v2.6-pro-rl/)1024.2B params · XiaomiMiMo                                                 | **715.1** / 16.0 GB  | Q4Won’t fit |
| [MiMo-V2.6-Pro-MOPD](https://whatcanirunai.vercel.app/models/mimo-v2.6-pro-mopd/)1024.2B params · XiaomiMiMo                                             | **715.1** / 16.0 GB  | Q4Won’t fit |
| [MiMo-V2.5-Pro](https://whatcanirunai.vercel.app/models/mimo-v2.5-pro/)1023.2B params · XiaomiMiMo                                                       | **714.4** / 16.0 GB  | Q4Won’t fit |
| [Ring-2.5-1T](https://whatcanirunai.vercel.app/models/ring-2.5-1t/)1012.2B params · inclusionAI                                                          | **706.7** / 16.0 GB  | Q4Won’t fit |
| [Ling-2.5-1T](https://whatcanirunai.vercel.app/models/ling-2.5-1t/)1012.2B params · inclusionAI                                                          | **706.7** / 16.0 GB  | Q4Won’t fit |
| [Ling-1T](https://whatcanirunai.vercel.app/models/ling-1t/)999.7B params · inclusionAI                                                                   | **698.0** / 16.0 GB  | Q4Won’t fit |
| [Ring-1T](https://whatcanirunai.vercel.app/models/ring-1t/)999.7B params · inclusionAI                                                                   | **698.0** / 16.0 GB  | Q4Won’t fit |
| [Inkling](https://whatcanirunai.vercel.app/models/inkling/)952.4B params · thinkingmachines                                                              | **665.0** / 16.0 GB  | Q4Won’t fit |
| [Intern-S1-Pro](https://whatcanirunai.vercel.app/models/intern-s1-pro/)917.0B params · internlm                                                          | **640.4** / 16.0 GB  | Q4Won’t fit |
| [Muse-Spark-Open-816B-A42B](https://whatcanirunai.vercel.app/models/muse-spark-open-816b-a42b/)822.0B params · meta-models                               | **574.1** / 16.0 GB  | Q4Won’t fit |
| [Hy4-preview](https://whatcanirunai.vercel.app/models/hy4-preview/)780.0B params · tencent                                                               | **544.8** / 16.0 GB  | Q4Won’t fit |
| [GLM-5](https://whatcanirunai.vercel.app/models/glm-5/)753.9B params · zai-org                                                                           | **526.6** / 16.0 GB  | Q4Won’t fit |
| [GLM-5.1](https://whatcanirunai.vercel.app/models/glm-5.1/)753.9B params · zai-org                                                                       | **526.6** / 16.0 GB  | Q4Won’t fit |
| [GLM-5.3](https://whatcanirunai.vercel.app/models/glm-5.3/)753.3B params · zai-org                                                                       | **526.2** / 16.0 GB  | Q4Won’t fit |
| [GLM-5.2](https://whatcanirunai.vercel.app/models/glm-5.2/)753.3B params · zai-org                                                                       | **526.2** / 16.0 GB  | Q4Won’t fit |
| [GLM-5.3-BF16](https://whatcanirunai.vercel.app/models/glm-5.3-bf16/)753.3B params · zai-org                                                             | **526.2** / 16.0 GB  | Q4Won’t fit |
| [K-EXAONE-2.0-750B-A37B](https://whatcanirunai.vercel.app/models/k-exaone-2.0-750b-a37b/)749.4B params · LGAI-EXAONE                                     | **523.4** / 16.0 GB  | Q4Won’t fit |
| [DeepSeek-V3.2-Exp](https://whatcanirunai.vercel.app/models/deepseek-v3.2-exp/)685.4B params · deepseek-ai                                               | **478.9** / 16.0 GB  | Q4Won’t fit |
| [DeepSeek-V3.2-Speciale](https://whatcanirunai.vercel.app/models/deepseek-v3.2-speciale/)685.4B params · deepseek-ai                                     | **478.9** / 16.0 GB  | Q4Won’t fit |
| [DeepSeek-V3.2](https://whatcanirunai.vercel.app/models/deepseek-v3.2/)685.4B params · deepseek-ai                                                       | **478.8** / 16.0 GB  | Q4Won’t fit |
| [DeepSeek-V3-0324](https://whatcanirunai.vercel.app/models/deepseek-v3-0324/)684.5B params · deepseek-ai                                                 | **478.2** / 16.0 GB  | Q4Won’t fit |
| [DeepSeek-R1-0528](https://whatcanirunai.vercel.app/models/deepseek-r1-0528/)684.5B params · deepseek-ai                                                 | **478.2** / 16.0 GB  | Q4Won’t fit |
| [DeepSeek-V3.1-Base](https://whatcanirunai.vercel.app/models/deepseek-v3.1-base/)684.5B params · deepseek-ai                                             | **478.2** / 16.0 GB  | Q4Won’t fit |
| [DeepSeek-R1](https://whatcanirunai.vercel.app/models/deepseek-r1/)684.5B params · deepseek-ai                                                           | **478.2** / 16.0 GB  | Q4Won’t fit |
| [DeepSeek-R1-Zero](https://whatcanirunai.vercel.app/models/deepseek-r1-zero/)684.5B params · deepseek-ai                                                 | **478.2** / 16.0 GB  | Q4Won’t fit |
| [Step-5-Preview](https://whatcanirunai.vercel.app/models/step-5-preview/)604.3B params · stepfun-ai                                                      | **422.3** / 16.0 GB  | Q4Won’t fit |
| [Ling-3.1-flash](https://whatcanirunai.vercel.app/models/ling-3.1-flash/)572.1B params · inclusionAI                                                     | **399.9** / 16.0 GB  | Q4Won’t fit |
| [Ling-3.1-flash-1019](https://whatcanirunai.vercel.app/models/ling-3.1-flash-1019/)572.1B params · inclusionAI                                           | **399.9** / 16.0 GB  | Q4Won’t fit |
| [LongCat-Flash-Chat](https://whatcanirunai.vercel.app/models/longcat-flash-chat/)561.9B params · meituan-longcat                                         | **392.7** / 16.0 GB  | Q4Won’t fit |
| [LongCat-Flash-Thinking](https://whatcanirunai.vercel.app/models/longcat-flash-thinking/)561.9B params · meituan-longcat                                 | **392.7** / 16.0 GB  | Q4Won’t fit |
| [LongCat-Flash-Thinking-2601](https://whatcanirunai.vercel.app/models/longcat-flash-thinking-2601/)561.9B params · meituan-longcat                       | **392.7** / 16.0 GB  | Q4Won’t fit |
| [NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16](https://whatcanirunai.vercel.app/models/nvidia-nemotron-3-ultra-550b-a55b-bf16/)560.5B params · nvidia          | **391.8** / 16.0 GB  | Q4Won’t fit |
| [Beam-1.0-501B-A23B](https://whatcanirunai.vercel.app/models/beam-1.0-501b-a23b/)501.3B params · reflection                                              | **350.5** / 16.0 GB  | Q4Won’t fit |
| [Qwen3-Coder-480B-A35B-Instruct](https://whatcanirunai.vercel.app/models/qwen3-coder-480b-a35b-instruct/)480.2B params · Qwen                            | **335.8** / 16.0 GB  | Q4Won’t fit |
| [MiniMax-M1-40k](https://whatcanirunai.vercel.app/models/minimax-m1-40k/)456.1B params · MiniMaxAI                                                       | **319.0** / 16.0 GB  | Q4Won’t fit |
| [MiniMax-M1-80k](https://whatcanirunai.vercel.app/models/minimax-m1-80k/)456.1B params · MiniMaxAI                                                       | **319.0** / 16.0 GB  | Q4Won’t fit |
| [MiniMax-M3](https://whatcanirunai.vercel.app/models/minimax-m3/)427.0B params · MiniMaxAI                                                               | **298.7** / 16.0 GB  | Q4Won’t fit |
| [ERNIE-4.5-VL-424B-A47B-PT](https://whatcanirunai.vercel.app/models/ernie-4.5-vl-424b-a47b-pt/)423.5B params · baidu                                     | **296.3** / 16.0 GB  | Q4Won’t fit |
| [Intern-S2-397B](https://whatcanirunai.vercel.app/models/intern-s2-397b/)403.4B params · internlm                                                        | **282.3** / 16.0 GB  | Q4Won’t fit |
| [Qwen3.5-397B-A17B](https://whatcanirunai.vercel.app/models/qwen3.5-397b-a17b/)403.4B params · Qwen                                                      | **282.2** / 16.0 GB  | Q4Won’t fit |
| [Llama-4-Maverick-17B-128E-Instruct](https://whatcanirunai.vercel.app/models/llama-4-maverick-17b-128e-instruct/)401.6B params · meta-llama              | **281.0** / 16.0 GB  | Q4Won’t fit |
| [Trinity-Large-Thinking](https://whatcanirunai.vercel.app/models/trinity-large-thinking/)398.6B params · arcee-ai                                        | **278.9** / 16.0 GB  | Q4Won’t fit |
| [Trinity-Large-Preview](https://whatcanirunai.vercel.app/models/trinity-large-preview/)398.6B params · arcee-ai                                          | **278.9** / 16.0 GB  | Q4Won’t fit |
| [Trinity-Large-TrueBase](https://whatcanirunai.vercel.app/models/trinity-large-truebase/)398.6B params · arcee-ai                                        | **278.9** / 16.0 GB  | Q4Won’t fit |
| [Trinity-Large-Base](https://whatcanirunai.vercel.app/models/trinity-large-base/)398.6B params · arcee-ai                                                | **278.9** / 16.0 GB  | Q4Won’t fit |
| [Nex-N2.5-Pro](https://whatcanirunai.vercel.app/models/nex-n2.5-pro/)396.8B params · nex-agi                                                             | **277.6** / 16.0 GB  | Q4Won’t fit |
| [Nex-N2-Pro](https://whatcanirunai.vercel.app/models/nex-n2-pro/)396.8B params · nex-agi                                                                 | **277.6** / 16.0 GB  | Q4Won’t fit |
| [NorthCUA-Pro](https://whatcanirunai.vercel.app/models/northcua-pro/)396.8B params · beipo-ai                                                            | **277.6** / 16.0 GB  | Q4Won’t fit |
| [GLM-4.5](https://whatcanirunai.vercel.app/models/glm-4.5/)358.3B params · zai-org                                                                       | **250.8** / 16.0 GB  | Q4Won’t fit |
| [GLM-4.7](https://whatcanirunai.vercel.app/models/glm-4.7/)358.3B params · zai-org                                                                       | **250.8** / 16.0 GB  | Q4Won’t fit |
| [GLM-4.6](https://whatcanirunai.vercel.app/models/glm-4.6/)356.8B params · zai-org                                                                       | **249.7** / 16.0 GB  | Q4Won’t fit |
| [GLM-5.3-Flash](https://whatcanirunai.vercel.app/models/glm-5.3-flash/)321.3B params · zai-org                                                           | **225.0** / 16.0 GB  | Q4Won’t fit |
| [Motif-3](https://whatcanirunai.vercel.app/models/motif-3/)314.8B params · Motif-Technologies                                                            | **220.5** / 16.0 GB  | Q4Won’t fit |
| [MiMo-V2.5](https://whatcanirunai.vercel.app/models/mimo-v2.5/)310.8B params · XiaomiMiMo                                                                | **217.7** / 16.0 GB  | Q4Won’t fit |
| [MiMo-V2.6-Flash-RL](https://whatcanirunai.vercel.app/models/mimo-v2.6-flash-rl/)310.8B params · XiaomiMiMo                                              | **217.7** / 16.0 GB  | Q4Won’t fit |
| [MiMo-V2.6-Flash-MOPD](https://whatcanirunai.vercel.app/models/mimo-v2.6-flash-mopd/)310.8B params · XiaomiMiMo                                          | **217.7** / 16.0 GB  | Q4Won’t fit |
| [MiMo-V2-Flash](https://whatcanirunai.vercel.app/models/mimo-v2-flash/)309.8B params · XiaomiMiMo                                                        | **217.0** / 16.0 GB  | Q4Won’t fit |
| [DeepSeek-V4-Flash-Vision-Exp](https://whatcanirunai.vercel.app/models/deepseek-v4-flash-vision-exp/)304.6B params · deepseek-ai                         | **213.4** / 16.0 GB  | Q4Won’t fit |
| [DeepSeek-V4-Flash-0731](https://whatcanirunai.vercel.app/models/deepseek-v4-flash-0731/)304.2B params · deepseek-ai                                     | **213.1** / 16.0 GB  | Q4Won’t fit |
| [ERNIE-4.5-300B-A47B-PT](https://whatcanirunai.vercel.app/models/ernie-4.5-300b-a47b-pt/)300.5B params · baidu                                           | **210.5** / 16.0 GB  | Q4Won’t fit |
| [Hy3](https://whatcanirunai.vercel.app/models/hy3/)298.8B params · tencent                                                                               | **209.3** / 16.0 GB  | Q4Won’t fit |
| [Hy3-preview](https://whatcanirunai.vercel.app/models/hy3-preview/)298.8B params · tencent                                                               | **209.3** / 16.0 GB  | Q4Won’t fit |
| [Ling-plus](https://whatcanirunai.vercel.app/models/ling-plus/)292.5B params · inclusionAI                                                               | **205.0** / 16.0 GB  | Q4Won’t fit |
| [DeepSeek-V4-Flash](https://whatcanirunai.vercel.app/models/deepseek-v4-flash/)290.9B params · deepseek-ai                                               | **203.8** / 16.0 GB  | Q4Won’t fit |
| [MemT-1.0-Flash](https://whatcanirunai.vercel.app/models/memt-1.0-flash/)287.9B params · MemTensor                                                       | **201.8** / 16.0 GB  | Q4Won’t fit |
| [ERNIE-5.5-Flash-Base](https://whatcanirunai.vercel.app/models/ernie-5.5-flash-base/)286.2B params · baidu                                               | **200.6** / 16.0 GB  | Q4Won’t fit |
| [Inkling-Small](https://whatcanirunai.vercel.app/models/inkling-small/)266.0B params · thinkingmachines                                                  | **186.4** / 16.0 GB  | Q4Won’t fit |
| [Llama-3\_1-Nemotron-Ultra-253B-v1](https://whatcanirunai.vercel.app/models/llama-3-1-nemotron-ultra-253b-v1/)253.4B params · nvidia                     | **177.7** / 16.0 GB  | Q4Won’t fit |
| [Solar-Open2-250B](https://whatcanirunai.vercel.app/models/solar-open2-250b/)250.3B params · upstage                                                     | **175.5** / 16.0 GB  | Q4Won’t fit |
| [Intern-S1](https://whatcanirunai.vercel.app/models/intern-s1/)240.7B params · internlm                                                                  | **168.8** / 16.0 GB  | Q4Won’t fit |
| [K-EXAONE-236B-A23B](https://whatcanirunai.vercel.app/models/k-exaone-236b-a23b/)237.1B params · LGAI-EXAONE                                             | **166.3** / 16.0 GB  | Q4Won’t fit |
| [DeepSeek-V2.5](https://whatcanirunai.vercel.app/models/deepseek-v2.5/)235.7B params · deepseek-ai                                                       | **165.4** / 16.0 GB  | Q4Won’t fit |
| [DeepSeek-Coder-V2-Instruct](https://whatcanirunai.vercel.app/models/deepseek-coder-v2-instruct/)235.7B params · deepseek-ai                             | **165.4** / 16.0 GB  | Q4Won’t fit |
| [DeepSeek-V2.5-1210](https://whatcanirunai.vercel.app/models/deepseek-v2.5-1210/)235.7B params · deepseek-ai                                             | **165.4** / 16.0 GB  | Q4Won’t fit |
| [DeepSeek-V2-Chat-0628](https://whatcanirunai.vercel.app/models/deepseek-v2-chat-0628/)235.7B params · deepseek-ai                                       | **165.4** / 16.0 GB  | Q4Won’t fit |
| [DeepSeek-Coder-V2-Instruct-0724](https://whatcanirunai.vercel.app/models/deepseek-coder-v2-instruct-0724/)235.7B params · deepseek-ai                   | **165.4** / 16.0 GB  | Q4Won’t fit |
| [Qwen3-VL-235B-A22B-Instruct](https://whatcanirunai.vercel.app/models/qwen3-vl-235b-a22b-instruct/)235.7B params · Qwen                                  | **165.3** / 16.0 GB  | Q4Won’t fit |
| [Qwen3-235B-A22B](https://whatcanirunai.vercel.app/models/qwen3-235b-a22b/)235.1B params · Qwen                                                          | **164.9** / 16.0 GB  | Q4Won’t fit |
| [Qwen3-235B-A22B-Instruct-2507](https://whatcanirunai.vercel.app/models/qwen3-235b-a22b-instruct-2507/)235.1B params · Qwen                              | **164.9** / 16.0 GB  | Q4Won’t fit |
| [Qwen3-235B-A22B-Thinking-2507](https://whatcanirunai.vercel.app/models/qwen3-235b-a22b-thinking-2507/)235.1B params · Qwen                              | **164.9** / 16.0 GB  | Q4Won’t fit |
| [MiniMax-M2](https://whatcanirunai.vercel.app/models/minimax-m2/)228.7B params · MiniMaxAI                                                               | **160.4** / 16.0 GB  | Q4Won’t fit |
| [MiniMax-M2.5](https://whatcanirunai.vercel.app/models/minimax-m2.5/)228.7B params · MiniMaxAI                                                           | **160.4** / 16.0 GB  | Q4Won’t fit |
| [MiniMax-M2.7](https://whatcanirunai.vercel.app/models/minimax-m2.7/)228.7B params · MiniMaxAI                                                           | **160.4** / 16.0 GB  | Q4Won’t fit |
| [MiniMax-M2.1](https://whatcanirunai.vercel.app/models/minimax-m2.1/)228.7B params · MiniMaxAI                                                           | **160.4** / 16.0 GB  | Q4Won’t fit |
| [command-a-plus-05-2026-bf16](https://whatcanirunai.vercel.app/models/command-a-plus-05-2026-bf16/)218.8B params · CohereLabs                            | **153.5** / 16.0 GB  | Q4Won’t fit |
| [Step-3.7-Flash](https://whatcanirunai.vercel.app/models/step-3.7-flash/)201.4B params · stepfun-ai                                                      | **141.4** / 16.0 GB  | Q4Won’t fit |
| [Step-3.5-Flash](https://whatcanirunai.vercel.app/models/step-3.5-flash/)199.4B params · stepfun-ai                                                      | **140.0** / 16.0 GB  | Q4Won’t fit |
| [Step-3.5-Flash-Base-Midtrain](https://whatcanirunai.vercel.app/models/step-3.5-flash-base-midtrain/)197.8B params · stepfun-ai                          | **138.9** / 16.0 GB  | Q4Won’t fit |
| [Qwen3.8-Flash-Next](https://whatcanirunai.vercel.app/models/qwen3.8-flash-next/)180.0B params · Qwen                                                    | **126.5** / 16.0 GB  | Q4Won’t fit |
| [Mixtral-8x22B-Instruct-v0.1](https://whatcanirunai.vercel.app/models/mixtral-8x22b-instruct-v0.1/)140.6B params · mistralai                             | **99.0** / 16.0 GB   | Q4Won’t fit |
| [Ling-3.0-flash-Sante](https://whatcanirunai.vercel.app/models/ling-3.0-flash-sante/)127.5B params · inclusionAI                                         | **89.9** / 16.0 GB   | Q4Won’t fit |
| [Ling-3.0-flash](https://whatcanirunai.vercel.app/models/ling-3.0-flash/)127.5B params · inclusionAI                                                     | **89.9** / 16.0 GB   | Q4Won’t fit |
| [Ling-3.0-flash-Fin](https://whatcanirunai.vercel.app/models/ling-3.0-flash-fin/)127.5B params · inclusionAI                                             | **89.9** / 16.0 GB   | Q4Won’t fit |
| [Ornith-1.5-122B](https://whatcanirunai.vercel.app/models/ornith-1.5-122b/)125.1B params · ornith-ai                                                     | **88.2** / 16.0 GB   | Q4Won’t fit |
| [Qwen3.5-122B-A10B](https://whatcanirunai.vercel.app/models/qwen3.5-122b-a10b/)125.1B params · Qwen                                                      | **88.2** / 16.0 GB   | Q4Won’t fit |
| [Devstral-2-123B-Instruct-2512](https://whatcanirunai.vercel.app/models/devstral-2-123b-instruct-2512/)125.0B params · mistralai                         | **88.2** / 16.0 GB   | Q4Won’t fit |
| [Ling-3.0-flash-VL](https://whatcanirunai.vercel.app/models/ling-3.0-flash-vl/)124.8B params · inclusionAI                                               | **88.0** / 16.0 GB   | Q4Won’t fit |
| [NVIDIA-Nemotron-3-Super-120B-A12B-BF16](https://whatcanirunai.vercel.app/models/nvidia-nemotron-3-super-120b-a12b-bf16/)123.6B params · nvidia          | **87.2** / 16.0 GB   | Q4Won’t fit |
| [Mistral-Small-4-119B-2603](https://whatcanirunai.vercel.app/models/mistral-small-4-119b-2603/)119.4B params · mistralai                                 | **84.2** / 16.0 GB   | Q4Won’t fit |
| [Youtu-LLM-A7B-Base](https://whatcanirunai.vercel.app/models/youtu-llm-a7b-base/)118.4B params · tencent                                                 | **83.5** / 16.0 GB   | Q4Won’t fit |
| [Laguna-S-2.1](https://whatcanirunai.vercel.app/models/laguna-s-2.1/)117.6B params · poolside                                                            | **83.0** / 16.0 GB   | Q4Won’t fit |
| [gpt-oss-120b](https://whatcanirunai.vercel.app/models/gpt-oss-120b/)116.8B params · openai                                                              | **82.5** / 16.0 GB   | Q4Won’t fit |
| [c4ai-command-a-03-2025](https://whatcanirunai.vercel.app/models/c4ai-command-a-03-2025/)111.1B params · CohereLabs                                      | **78.4** / 16.0 GB   | Q4Won’t fit |
| [GLM-4.5-Air](https://whatcanirunai.vercel.app/models/glm-4.5-air/)110.5B params · zai-org                                                               | **78.0** / 16.0 GB   | Q4Won’t fit |
| [Llama-4-Scout-17B-16E-Instruct](https://whatcanirunai.vercel.app/models/llama-4-scout-17b-16e-instruct/)108.6B params · meta-llama                      | **76.7** / 16.0 GB   | Q4Won’t fit |
| [Llama-4-Scout-17B-16E](https://whatcanirunai.vercel.app/models/llama-4-scout-17b-16e/)108.6B params · meta-llama                                        | **76.7** / 16.0 GB   | Q4Won’t fit |
| [GLM-4.5V](https://whatcanirunai.vercel.app/models/glm-4.5v/)107.7B params · zai-org                                                                     | **76.1** / 16.0 GB   | Q4Won’t fit |
| [GLM-4.6V](https://whatcanirunai.vercel.app/models/glm-4.6v/)107.7B params · zai-org                                                                     | **76.1** / 16.0 GB   | Q4Won’t fit |
| [Ling-2.6-flash](https://whatcanirunai.vercel.app/models/ling-2.6-flash/)107.5B params · inclusionAI                                                     | **75.9** / 16.0 GB   | Q4Won’t fit |
| [sarvam-105b](https://whatcanirunai.vercel.app/models/sarvam-105b/)106.0B params · sarvamai                                                              | **74.9** / 16.0 GB   | Q4Won’t fit |
| [Ling-flash-2.0](https://whatcanirunai.vercel.app/models/ling-flash-2.0/)102.9B params · inclusionAI                                                     | **72.7** / 16.0 GB   | Q4Won’t fit |
| [LLaDA2.1-flash](https://whatcanirunai.vercel.app/models/llada2.1-flash/)102.9B params · inclusionAI                                                     | **72.7** / 16.0 GB   | Q4Won’t fit |
| [Ring-flash-2.0](https://whatcanirunai.vercel.app/models/ring-flash-2.0/)102.9B params · inclusionAI                                                     | **72.7** / 16.0 GB   | Q4Won’t fit |
| [LLaDA2.2-flash](https://whatcanirunai.vercel.app/models/llada2.2-flash/)102.9B params · inclusionAI                                                     | **72.7** / 16.0 GB   | Q4Won’t fit |
| [Solar-Open-100B](https://whatcanirunai.vercel.app/models/solar-open-100b/)102.7B params · upstage                                                       | **72.6** / 16.0 GB   | Q4Won’t fit |
| [Qwen3-Next-80B-A3B-Instruct](https://whatcanirunai.vercel.app/models/qwen3-next-80b-a3b-instruct/)81.3B params · Qwen                                   | **57.7** / 16.0 GB   | Q4Won’t fit |
| [Qwen3-Next-80B-A3B-Thinking](https://whatcanirunai.vercel.app/models/qwen3-next-80b-a3b-thinking/)81.3B params · Qwen                                   | **57.7** / 16.0 GB   | Q4Won’t fit |
| [AliceAI-Foundation-80B-A3B-Base](https://whatcanirunai.vercel.app/models/aliceai-foundation-80b-a3b-base/)81.3B params · yandex                         | **57.7** / 16.0 GB   | Q4Won’t fit |
| [Hunyuan-A13B-Instruct](https://whatcanirunai.vercel.app/models/hunyuan-a13b-instruct/)80.4B params · tencent                                            | **57.0** / 16.0 GB   | Q4Won’t fit |
| [Qwen3-Coder-Next](https://whatcanirunai.vercel.app/models/qwen3-coder-next/)79.7B params · Qwen                                                         | **56.5** / 16.0 GB   | Q4Won’t fit |
| [Kolibri-1](https://whatcanirunai.vercel.app/models/kolibri-1/)78.1B params · Aleph-Alpha                                                                | **55.5** / 16.0 GB   | Q4Won’t fit |
| [Qwen2.5-VL-72B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-vl-72b-instruct/)73.4B params · Qwen                                           | **52.2** / 16.0 GB   | Q4Won’t fit |
| [UI-TARS-72B-DPO](https://whatcanirunai.vercel.app/models/ui-tars-72b-dpo/)73.4B params · ByteDance-Seed                                                 | **52.2** / 16.0 GB   | Q4Won’t fit |
| [Qwen2.5-72B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-72b-instruct/)72.7B params · Qwen                                                 | **51.7** / 16.0 GB   | Q4Won’t fit |
| [Apertus-70B-Instruct-2509](https://whatcanirunai.vercel.app/models/apertus-70b-instruct-2509/)70.6B params · swiss-ai                                   | **50.2** / 16.0 GB   | Q4Won’t fit |
| [Apertus-70B-2509](https://whatcanirunai.vercel.app/models/apertus-70b-2509/)70.6B params · swiss-ai                                                     | **50.2** / 16.0 GB   | Q4Won’t fit |
| [Llama-3.3-70B-Instruct](https://whatcanirunai.vercel.app/models/llama-3.3-70b-instruct/)70.6B params · meta-llama                                       | **50.2** / 16.0 GB   | Q4Won’t fit |
| [DeepSeek-R1-Distill-Llama-70B](https://whatcanirunai.vercel.app/models/deepseek-r1-distill-llama-70b/)70.6B params · deepseek-ai                        | **50.2** / 16.0 GB   | Q4Won’t fit |
| [Llama-3.1-70B](https://whatcanirunai.vercel.app/models/llama-3.1-70b/)70.6B params · meta-llama                                                         | **50.2** / 16.0 GB   | Q4Won’t fit |
| [Hermes-2-Theta-Llama-3-70B](https://whatcanirunai.vercel.app/models/hermes-2-theta-llama-3-70b/)70.6B params · NousResearch                             | **50.2** / 16.0 GB   | Q4Won’t fit |
| [Meta-Llama-3.1-70B-Instruct](https://whatcanirunai.vercel.app/models/meta-llama-3.1-70b-instruct/)70.6B params · NousResearch                           | **50.2** / 16.0 GB   | Q4Won’t fit |
| [LongCat-Flash-Lite](https://whatcanirunai.vercel.app/models/longcat-flash-lite/)69.1B params · meituan-longcat                                          | **49.2** / 16.0 GB   | Q4Won’t fit |
| [AI21-Jamba2-Mini](https://whatcanirunai.vercel.app/models/ai21-jamba2-mini/)51.6B params · ai21labs                                                     | **37.0** / 16.0 GB   | Q4Won’t fit |
| [Llama-3\_1-Nemotron-51B-Instruct](https://whatcanirunai.vercel.app/models/llama-3-1-nemotron-51b-instruct/)51.5B params · nvidia                        | **36.9** / 16.0 GB   | Q4Won’t fit |
| [Llama-3\_3-Nemotron-Super-49B-v1\_5](https://whatcanirunai.vercel.app/models/llama-3-3-nemotron-super-49b-v1-5/)49.9B params · nvidia                   | **35.8** / 16.0 GB   | Q4Won’t fit |
| [Llama-3\_3-Nemotron-Super-49B-v1](https://whatcanirunai.vercel.app/models/llama-3-3-nemotron-super-49b-v1/)49.9B params · nvidia                        | **35.8** / 16.0 GB   | Q4Won’t fit |
| [Phi-3.5-MoE-instruct](https://whatcanirunai.vercel.app/models/phi-3.5-moe-instruct/)41.9B params · microsoft                                            | **30.2** / 16.0 GB   | Q4Won’t fit |
| [GRIN-MoE](https://whatcanirunai.vercel.app/models/grin-moe/)41.9B params · microsoft                                                                    | **30.2** / 16.0 GB   | Q4Won’t fit |
| [ALIA-40b](https://whatcanirunai.vercel.app/models/alia-40b/)40.4B params · BSC-LT                                                                       | **29.2** / 16.0 GB   | Q4Won’t fit |
| [IQuest-Coder-V1-40B-Loop-Instruct](https://whatcanirunai.vercel.app/models/iquest-coder-v1-40b-loop-instruct/)39.8B params · IQuestLab                  | **28.7** / 16.0 GB   | Q4Won’t fit |
| [IQuest-Coder-V1-40B-Instruct](https://whatcanirunai.vercel.app/models/iquest-coder-v1-40b-instruct/)39.8B params · IQuestLab                            | **28.7** / 16.0 GB   | Q4Won’t fit |
| [Recursive Flint](https://whatcanirunai.vercel.app/models/flint/)39.8B params · RecursiveSI                                                              | **28.7** / 16.0 GB   | Q4Won’t fit |
| [K2-Horizon-MoVA-36B-A4B](https://whatcanirunai.vercel.app/models/k2-horizon-mova-36b-a4b/)37.4B params · IFM                                            | **27.1** / 16.0 GB   | Q4Won’t fit |
| [Seed-OSS-36B-Instruct](https://whatcanirunai.vercel.app/models/seed-oss-36b-instruct/)36.2B params · ByteDance-Seed                                     | **26.2** / 16.0 GB   | Q4Won’t fit |
| [Seed-OSS-36B-Base-woSyn](https://whatcanirunai.vercel.app/models/seed-oss-36b-base-wosyn/)36.2B params · ByteDance-Seed                                 | **26.2** / 16.0 GB   | Q4Won’t fit |
| [Intern-S2-Preview](https://whatcanirunai.vercel.app/models/intern-s2-preview/)36.1B params · internlm                                                   | **26.2** / 16.0 GB   | Q4Won’t fit |
| [Ornith-1.5-35B-A3B](https://whatcanirunai.vercel.app/models/ornith-1.5-35b-a3b/)36.0B params · ornith-ai                                                | **26.1** / 16.0 GB   | Q4Won’t fit |
| [Sage-A1.5](https://whatcanirunai.vercel.app/models/sage-a1.5/)36.0B params · InternScience                                                              | **26.1** / 16.0 GB   | Q4Won’t fit |
| [Qwen3.6-35B-A3B](https://whatcanirunai.vercel.app/models/qwen3.6-35b-a3b/)36.0B params · Qwen                                                           | **26.1** / 16.0 GB   | Q4Won’t fit |
| [Qwen3.5-35B-A3B](https://whatcanirunai.vercel.app/models/qwen3.5-35b-a3b/)36.0B params · Qwen                                                           | **26.1** / 16.0 GB   | Q4Won’t fit |
| [Apex-35B-V1.0](https://whatcanirunai.vercel.app/models/apex-35b-v1.0/)36.0B params · Apexintelligence-AI                                                | **26.1** / 16.0 GB   | Q4Won’t fit |
| [MiniCPM-V-4.7-35B-A3B](https://whatcanirunai.vercel.app/models/minicpm-v-4.7-35b-a3b/)35.2B params · openbmb                                            | **25.5** / 16.0 GB   | Q4Won’t fit |
| [MemT-1.0-Nano](https://whatcanirunai.vercel.app/models/memt-1.0-nano/)35.1B params · MemTensor                                                          | **25.5** / 16.0 GB   | Q4Won’t fit |
| [Agents-A1](https://whatcanirunai.vercel.app/models/agents-a1/)35.1B params · InternScience                                                              | **25.5** / 16.0 GB   | Q4Won’t fit |
| [Nex-N2.5-mini](https://whatcanirunai.vercel.app/models/nex-n2.5-mini/)35.1B params · nex-agi                                                            | **25.5** / 16.0 GB   | Q4Won’t fit |
| [Nex-N2-mini](https://whatcanirunai.vercel.app/models/nex-n2-mini/)35.1B params · nex-agi                                                                | **25.5** / 16.0 GB   | Q4Won’t fit |
| [Axion-1.0-35B](https://whatcanirunai.vercel.app/models/axion-1.0-35b/)35.1B params · Axion1-0                                                           | **25.5** / 16.0 GB   | Q4Won’t fit |
| [NorthCUA-Mini](https://whatcanirunai.vercel.app/models/northcua-mini/)35.1B params · beipo-ai                                                           | **25.5** / 16.0 GB   | Q4Won’t fit |
| [Clover-35B-A3B-Preview](https://whatcanirunai.vercel.app/models/clover-35b-a3b-preview/)34.7B params · Diffuspace                                       | **25.2** / 16.0 GB   | Q4Won’t fit |
| [Qwen-AgentWorld-35B-A3B](https://whatcanirunai.vercel.app/models/qwen-agentworld-35b-a3b/)34.7B params · Qwen                                           | **25.2** / 16.0 GB   | Q4Won’t fit |
| [KAT-Coder-V2.5-Dev](https://whatcanirunai.vercel.app/models/kat-coder-v2.5-dev/)34.7B params · Kwaipilot                                                | **25.2** / 16.0 GB   | Q4Won’t fit |
| [EXAONE-4.5-33B](https://whatcanirunai.vercel.app/models/exaone-4.5-33b/)34.4B params · LGAI-EXAONE                                                      | **24.9** / 16.0 GB   | Q4Won’t fit |
| [Falcon-H1-34B-Instruct](https://whatcanirunai.vercel.app/models/falcon-h1-34b-instruct/)33.6B params · tiiuae                                           | **24.5** / 16.0 GB   | Q4Won’t fit |
| [Qwen2.5-VL-32B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-vl-32b-instruct/)33.5B params · Qwen                                           | **24.3** / 16.0 GB   | Q4Won’t fit |
| [Laguna-XS.2](https://whatcanirunai.vercel.app/models/laguna-xs.2/)33.4B params · poolside                                                               | **24.3** / 16.0 GB   | Q4Won’t fit |
| [Qwen3-VL-32B-Instruct](https://whatcanirunai.vercel.app/models/qwen3-vl-32b-instruct/)33.4B params · Qwen                                               | **24.3** / 16.0 GB   | Q4Won’t fit |
| [HyperCLOVAX-SEED-Think-32B](https://whatcanirunai.vercel.app/models/hyperclovax-seed-think-32b/)33.3B params · naver-hyperclovax                        | **24.2** / 16.0 GB   | Q4Won’t fit |
| [FlexOlmo-7x7B-1T](https://whatcanirunai.vercel.app/models/flexolmo-7x7b-1t/)33.3B params · allenai                                                      | **24.2** / 16.0 GB   | Q4Won’t fit |
| [GLM-Z1-Rumination-32B-0414](https://whatcanirunai.vercel.app/models/glm-z1-rumination-32b-0414/)33.1B params · zai-org                                  | **24.1** / 16.0 GB   | Q4Won’t fit |
| [Nanbeige4.3-33B](https://whatcanirunai.vercel.app/models/nanbeige4.3-33b/)33.1B params · Nanbeige                                                       | **24.1** / 16.0 GB   | Q4Won’t fit |
| [Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16](https://whatcanirunai.vercel.app/models/nemotron-3-nano-omni-30b-a3b-reasoning-bf16/)33.0B params · nvidia | **24.0** / 16.0 GB   | Q4Won’t fit |
| [Qwen2.5-Coder-32B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-coder-32b-instruct/)32.8B params · Qwen                                     | **23.8** / 16.0 GB   | Q4Won’t fit |
| [DeepSeek-R1-Distill-Qwen-32B](https://whatcanirunai.vercel.app/models/deepseek-r1-distill-qwen-32b/)32.8B params · deepseek-ai                          | **23.8** / 16.0 GB   | Q4Won’t fit |
| [Qwen2.5-32B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-32b-instruct/)32.8B params · Qwen                                                 | **23.8** / 16.0 GB   | Q4Won’t fit |
| [QwQ-32B](https://whatcanirunai.vercel.app/models/qwq-32b/)32.8B params · Qwen                                                                           | **23.8** / 16.0 GB   | Q4Won’t fit |
| [QwQ-32B-Preview](https://whatcanirunai.vercel.app/models/qwq-32b-preview/)32.8B params · Qwen                                                           | **23.8** / 16.0 GB   | Q4Won’t fit |
| [Qwen2.5-32B](https://whatcanirunai.vercel.app/models/qwen2.5-32b/)32.8B params · Qwen                                                                   | **23.8** / 16.0 GB   | Q4Won’t fit |
| [Qwen2.5-Coder-32B](https://whatcanirunai.vercel.app/models/qwen2.5-coder-32b/)32.8B params · Qwen                                                       | **23.8** / 16.0 GB   | Q4Won’t fit |
| [Qwen3-32B](https://whatcanirunai.vercel.app/models/qwen3-32b/)32.8B params · Qwen                                                                       | **23.8** / 16.0 GB   | Q4Won’t fit |
| [GLM-Z1-32B-0414](https://whatcanirunai.vercel.app/models/glm-z1-32b-0414/)32.6B params · zai-org                                                        | **23.7** / 16.0 GB   | Q4Won’t fit |
| [GLM-4-32B-0414](https://whatcanirunai.vercel.app/models/glm-4-32b-0414/)32.6B params · zai-org                                                          | **23.7** / 16.0 GB   | Q4Won’t fit |
| [OLMo-2-0325-32B-Instruct](https://whatcanirunai.vercel.app/models/olmo-2-0325-32b-instruct/)32.2B params · allenai                                      | **23.5** / 16.0 GB   | Q4Won’t fit |
| [OLMo-2-0325-32B](https://whatcanirunai.vercel.app/models/olmo-2-0325-32b/)32.2B params · allenai                                                        | **23.5** / 16.0 GB   | Q4Won’t fit |
| [Olmo-3-32B-Think](https://whatcanirunai.vercel.app/models/olmo-3-32b-think/)32.2B params · allenai                                                      | **23.5** / 16.0 GB   | Q4Won’t fit |
| [Olmo-3-1125-32B](https://whatcanirunai.vercel.app/models/olmo-3-1125-32b/)32.2B params · allenai                                                        | **23.5** / 16.0 GB   | Q4Won’t fit |
| [Olmo-3.1-32B-Instruct](https://whatcanirunai.vercel.app/models/olmo-3.1-32b-instruct/)32.2B params · allenai                                            | **23.5** / 16.0 GB   | Q4Won’t fit |
| [Olmo-3.1-32B-Think](https://whatcanirunai.vercel.app/models/olmo-3.1-32b-think/)32.2B params · allenai                                                  | **23.5** / 16.0 GB   | Q4Won’t fit |
| [Olmo-3.1-32B-Instruct-DPO](https://whatcanirunai.vercel.app/models/olmo-3.1-32b-instruct-dpo/)32.2B params · allenai                                    | **23.5** / 16.0 GB   | Q4Won’t fit |
| [granite-4.0-h-small](https://whatcanirunai.vercel.app/models/granite-4.0-h-small/)32.2B params · ibm-granite                                            | **23.5** / 16.0 GB   | Q4Won’t fit |
| [sarvam-30b](https://whatcanirunai.vercel.app/models/sarvam-30b/)32.2B params · sarvamai                                                                 | **23.4** / 16.0 GB   | Q4Won’t fit |
| [EXAONE-4.0-32B](https://whatcanirunai.vercel.app/models/exaone-4.0-32b/)32.0B params · LGAI-EXAONE                                                      | **23.3** / 16.0 GB   | Q4Won’t fit |
| [EXAONE-4.0.1-32B](https://whatcanirunai.vercel.app/models/exaone-4.0.1-32b/)32.0B params · LGAI-EXAONE                                                  | **23.3** / 16.0 GB   | Q4Won’t fit |
| [EXAONE-3.5-32B-Instruct](https://whatcanirunai.vercel.app/models/exaone-3.5-32b-instruct/)32.0B params · LGAI-EXAONE                                    | **23.3** / 16.0 GB   | Q4Won’t fit |
| [EXAONE-Deep-32B](https://whatcanirunai.vercel.app/models/exaone-deep-32b/)32.0B params · LGAI-EXAONE                                                    | **23.3** / 16.0 GB   | Q4Won’t fit |
| [NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16](https://whatcanirunai.vercel.app/models/nvidia-nemotron-3.5-lightning-30b-a3b-bf16/)31.6B params · nvidia   | **23.0** / 16.0 GB   | Q4Won’t fit |
| [NVIDIA-Nemotron-3-Nano-30B-A3B-BF16](https://whatcanirunai.vercel.app/models/nvidia-nemotron-3-nano-30b-a3b-bf16/)31.6B params · nvidia                 | **23.0** / 16.0 GB   | Q4Won’t fit |
| [Nemotron-Cascade-2-30B-A3B](https://whatcanirunai.vercel.app/models/nemotron-cascade-2-30b-a3b/)31.6B params · nvidia                                   | **23.0** / 16.0 GB   | Q4Won’t fit |
| [Gemma 4 31B](https://whatcanirunai.vercel.app/models/gemma-4-31b-it/)31.3B params · google                                                              | **22.8** / 16.0 GB   | Q4Won’t fit |
| [gemma-4-31B](https://whatcanirunai.vercel.app/models/gemma-4-31b/)31.3B params · google                                                                 | **22.8** / 16.0 GB   | Q4Won’t fit |
| [GLM-4.7-Flash](https://whatcanirunai.vercel.app/models/glm-4.7-flash/)31.2B params · zai-org                                                            | **22.8** / 16.0 GB   | Q4Won’t fit |
| [Xing4.0-29B-A4B](https://whatcanirunai.vercel.app/models/xing4.0-29b-a4b/)31.2B params · XingChen-AGI                                                   | **22.8** / 16.0 GB   | Q4Won’t fit |
| [Xing4.0-29B-Intent](https://whatcanirunai.vercel.app/models/xing4.0-29b-intent/)31.2B params · XingChen-AGI                                             | **22.8** / 16.0 GB   | Q4Won’t fit |
| [Qwen3-VL-30B-A3B-Instruct](https://whatcanirunai.vercel.app/models/qwen3-vl-30b-a3b-instruct/)31.1B params · Qwen                                       | **22.7** / 16.0 GB   | Q4Won’t fit |
| [Qwen3-VL-30B-A3B-Thinking](https://whatcanirunai.vercel.app/models/qwen3-vl-30b-a3b-thinking/)31.1B params · Qwen                                       | **22.7** / 16.0 GB   | Q4Won’t fit |
| [UI-Venus-1.5-30B-A3B](https://whatcanirunai.vercel.app/models/ui-venus-1.5-30b-a3b/)31.1B params · inclusionAI                                          | **22.7** / 16.0 GB   | Q4Won’t fit |
| [kanana-2-30b-a3b-instruct-2601](https://whatcanirunai.vercel.app/models/kanana-2-30b-a3b-instruct-2601/)30.7B params · kakaocorp                        | **22.4** / 16.0 GB   | Q4Won’t fit |
| [kanana-2-30b-a3b-instruct](https://whatcanirunai.vercel.app/models/kanana-2-30b-a3b-instruct/)30.7B params · kakaocorp                                  | **22.4** / 16.0 GB   | Q4Won’t fit |
| [kanana-2-30b-a3b-thinking-2601](https://whatcanirunai.vercel.app/models/kanana-2-30b-a3b-thinking-2601/)30.7B params · kakaocorp                        | **22.4** / 16.0 GB   | Q4Won’t fit |
| [Qwen3-30B-A3B](https://whatcanirunai.vercel.app/models/qwen3-30b-a3b/)30.5B params · Qwen                                                               | **22.3** / 16.0 GB   | Q4Won’t fit |
| [Qwen3-Coder-30B-A3B-Instruct](https://whatcanirunai.vercel.app/models/qwen3-coder-30b-a3b-instruct/)30.5B params · Qwen                                 | **22.3** / 16.0 GB   | Q4Won’t fit |
| [Qwen3-30B-A3B-Instruct-2507](https://whatcanirunai.vercel.app/models/qwen3-30b-a3b-instruct-2507/)30.5B params · Qwen                                   | **22.3** / 16.0 GB   | Q4Won’t fit |
| [Qwen3-30B-A3B-Thinking-2507](https://whatcanirunai.vercel.app/models/qwen3-30b-a3b-thinking-2507/)30.5B params · Qwen                                   | **22.3** / 16.0 GB   | Q4Won’t fit |
| [Tongyi-DeepResearch-30B-A3B](https://whatcanirunai.vercel.app/models/tongyi-deepresearch-30b-a3b/)30.5B params · Alibaba-NLP                            | **22.3** / 16.0 GB   | Q4Won’t fit |
| [Rubicon-Preview](https://whatcanirunai.vercel.app/models/rubicon-preview/)30.5B params · inclusionAI                                                    | **22.3** / 16.0 GB   | Q4Won’t fit |
| [North-Mini-Code-1.0](https://whatcanirunai.vercel.app/models/north-mini-code-1.0/)30.5B params · CohereLabs                                             | **22.3** / 16.0 GB   | Q4Won’t fit |
| [Hy-Memory-30B-A3B](https://whatcanirunai.vercel.app/models/hy-memory-30b-a3b/)30.1B params · tencent                                                    | **22.0** / 16.0 GB   | Q4Won’t fit |
| [Hy-MT2-30B-A3B](https://whatcanirunai.vercel.app/models/hy-mt2-30b-a3b/)30.1B params · tencent                                                          | **22.0** / 16.0 GB   | Q4Won’t fit |
| [granite-switch-4.1-30b](https://whatcanirunai.vercel.app/models/granite-switch-4.1-30b/)30.0B params · ibm-granite                                      | **21.9** / 16.0 GB   | Q4Won’t fit |
| [Muse-Glimmer-30B](https://whatcanirunai.vercel.app/models/muse-glimmer-30b/)29.8B params · meta-models                                                  | **21.8** / 16.0 GB   | Q4Won’t fit |
| [ERNIE-4.5-VL-28B-A3B-Thinking](https://whatcanirunai.vercel.app/models/ernie-4.5-vl-28b-a3b-thinking/)29.7B params · baidu                              | **21.7** / 16.0 GB   | Q4Won’t fit |
| [ERNIE-4.5-VL-28B-A3B-PT](https://whatcanirunai.vercel.app/models/ernie-4.5-vl-28b-a3b-pt/)29.4B params · baidu                                          | **21.5** / 16.0 GB   | Q4Won’t fit |
| [granite-4.2-30b](https://whatcanirunai.vercel.app/models/granite-4.2-30b/)29.3B params · ibm-granite                                                    | **21.4** / 16.0 GB   | Q4Won’t fit |
| [granite-4.1-30b](https://whatcanirunai.vercel.app/models/granite-4.1-30b/)28.9B params · ibm-granite                                                    | **21.1** / 16.0 GB   | Q4Won’t fit |
| [Raon-1 mini preview](https://whatcanirunai.vercel.app/models/raon-1-mini-preview/)28.8B params · KRAFTON                                                | **21.1** / 16.0 GB   | Q4Won’t fit |
| [Qwen3.8-27B](https://whatcanirunai.vercel.app/models/qwen3.8-27b/)27.8B params · Qwen                                                                   | **20.4** / 16.0 GB   | Q4Won’t fit |
| [Tess-4.5-27B](https://whatcanirunai.vercel.app/models/tess-4.5-27b/)27.8B params · migtissera                                                           | **20.4** / 16.0 GB   | Q4Won’t fit |
| [Qwen3.6-27B](https://whatcanirunai.vercel.app/models/qwen3.6-27b/)27.8B params · Qwen                                                                   | **20.4** / 16.0 GB   | Q4Won’t fit |
| [Qwen3.5-27B](https://whatcanirunai.vercel.app/models/qwen3.5-27b/)27.8B params · Qwen                                                                   | **20.4** / 16.0 GB   | Q4Won’t fit |
| [gemma-3-27b-it](https://whatcanirunai.vercel.app/models/gemma-3-27b-it/)27.4B params · google                                                           | **20.1** / 16.0 GB   | Q4Won’t fit |
| [Arete-27B](https://whatcanirunai.vercel.app/models/arete-27b/)27.4B params · NousResearch                                                               | **20.1** / 16.0 GB   | Q4Won’t fit |
| [gemma-2-27b-it](https://whatcanirunai.vercel.app/models/gemma-2-27b-it/)27.2B params · google                                                           | **20.0** / 16.0 GB   | Q4Won’t fit |
| [gemma-2-27b](https://whatcanirunai.vercel.app/models/gemma-2-27b/)27.2B params · google                                                                 | **20.0** / 16.0 GB   | Q4Won’t fit |
| [Qwen3.8-27B-Longbook27-v2](https://whatcanirunai.vercel.app/models/qwen3.8-27b-longbook27-v2/)27.1B params · summerAIO                                  | **19.9** / 16.0 GB   | Q4Won’t fit |
| [medgemma-27b-text-it](https://whatcanirunai.vercel.app/models/medgemma-27b-text-it/)27.0B params · google                                               | **19.8** / 16.0 GB   | Q4Won’t fit |
| [Hemmingway-1.5](https://whatcanirunai.vercel.app/models/hemmingway-1.5/)26.9B params · HemmingwayAI                                                     | **19.8** / 16.0 GB   | Q4Won’t fit |
| [Trinity-Mini](https://whatcanirunai.vercel.app/models/trinity-mini/)26.1B params · arcee-ai                                                             | **19.2** / 16.0 GB   | Q4Won’t fit |
| [diffusiongemma-26B-A4B-it](https://whatcanirunai.vercel.app/models/diffusiongemma-26b-a4b-it/)25.8B params · google                                     | **19.0** / 16.0 GB   | Q4Won’t fit |
| [Gemma 4 26B A4B](https://whatcanirunai.vercel.app/models/gemma-4-26b-a4b-it/)25.8B params · google                                                      | **19.0** / 16.0 GB   | Q4Won’t fit |
| [gemma-4-26B-A4B](https://whatcanirunai.vercel.app/models/gemma-4-26b-a4b/)25.8B params · google                                                         | **19.0** / 16.0 GB   | Q4Won’t fit |
| [Voxtral-Small-24B-2507](https://whatcanirunai.vercel.app/models/voxtral-small-24b-2507/)24.3B params · mistralai                                        | **17.9** / 16.0 GB   | Q4Won’t fit |
| [Mistral-Small-3.2-24B-Instruct-2506](https://whatcanirunai.vercel.app/models/mistral-small-3.2-24b-instruct-2506/)24.0B params · mistralai              | **17.7** / 16.0 GB   | Q4Won’t fit |
| [Mistral-Small-3.1-24B-Instruct-2503](https://whatcanirunai.vercel.app/models/mistral-small-3.1-24b-instruct-2503/)24.0B params · mistralai              | **17.7** / 16.0 GB   | Q4Won’t fit |
| [LFM2.5-24B-A2B](https://whatcanirunai.vercel.app/models/lfm2.5-24b-a2b/)24.0B params · LiquidAI                                                         | **17.7** / 16.0 GB   | Q4Won’t fit |
| [LFM2-24B-A2B](https://whatcanirunai.vercel.app/models/lfm2-24b-a2b/)23.8B params · LiquidAI                                                             | **17.6** / 16.0 GB   | Q4Won’t fit |
| [Mistral-Small-24B-Instruct-2501](https://whatcanirunai.vercel.app/models/mistral-small-24b-instruct-2501/)23.6B params · mistralai                      | **17.4** / 16.0 GB   | Q4Won’t fit |
| [EuroLLM-22B-Instruct-2512](https://whatcanirunai.vercel.app/models/eurollm-22b-instruct-2512/)22.6B params · utter-project                              | **16.8** / 16.0 GB   | Q4Won’t fit |
| [EuroLLM-22B-2512](https://whatcanirunai.vercel.app/models/eurollm-22b-2512/)22.6B params · utter-project                                                | **16.8** / 16.0 GB   | Q4Won’t fit |
| [solar-pro-preview-instruct](https://whatcanirunai.vercel.app/models/solar-pro-preview-instruct/)22.1B params · upstage                                  | **16.4** / 16.0 GB   | Q4Won’t fit |
| [ERNIE-4.5-21B-A3B-PT](https://whatcanirunai.vercel.app/models/ernie-4.5-21b-a3b-pt/)21.9B params · baidu                                                | **16.3** / 16.0 GB   | Q4Won’t fit |
| [ERNIE-4.5-21B-A3B-Thinking](https://whatcanirunai.vercel.app/models/ernie-4.5-21b-a3b-thinking/)21.8B params · baidu                                    | **16.2** / 16.0 GB   | Q4Won’t fit |
| [gpt-oss-20b](https://whatcanirunai.vercel.app/models/gpt-oss-20b/)20.9B params · openai                                                                 | **15.6** / 16.0 GB   | Q4Tight     |
| [reka-flash-3](https://whatcanirunai.vercel.app/models/reka-flash-3/)20.9B params · RekaAI                                                               | **15.6** / 16.0 GB   | Q4Tight     |
| [maple-preview](https://whatcanirunai.vercel.app/models/maple-preview/)20.2B params · deepgrove                                                          | **15.1** / 16.0 GB   | Q4Tight     |
| [internlm2\_5-20b-chat](https://whatcanirunai.vercel.app/models/internlm2-5-20b-chat/)19.9B params · internlm                                            | **14.8** / 16.0 GB   | Q4Tight     |
| [Groot-19B-A3B-261023](https://whatcanirunai.vercel.app/models/groot-19b-a3b-261023/)19.4B params · GrootTeam                                            | **14.5** / 16.0 GB   | Q4Tight     |
| [Ling-Coder-lite](https://whatcanirunai.vercel.app/models/ling-coder-lite/)16.8B params · inclusionAI                                                    | **12.7** / 16.0 GB   | Q4Fits      |
| [Ring-lite-distill-preview](https://whatcanirunai.vercel.app/models/ring-lite-distill-preview/)16.8B params · inclusionAI                                | **12.7** / 16.0 GB   | Q4Fits      |
| [Ling-lite](https://whatcanirunai.vercel.app/models/ling-lite/)16.8B params · inclusionAI                                                                | **12.7** / 16.0 GB   | Q4Fits      |
| [Ling-lite-1.5-2507](https://whatcanirunai.vercel.app/models/ling-lite-1.5-2507/)16.8B params · inclusionAI                                              | **12.7** / 16.0 GB   | Q4Fits      |
| [Ling-lite-1.5](https://whatcanirunai.vercel.app/models/ling-lite-1.5/)16.8B params · inclusionAI                                                        | **12.7** / 16.0 GB   | Q4Fits      |
| [Ring-lite](https://whatcanirunai.vercel.app/models/ring-lite/)16.8B params · inclusionAI                                                                | **12.7** / 16.0 GB   | Q4Fits      |
| [Ring-mini-linear-2.0](https://whatcanirunai.vercel.app/models/ring-mini-linear-2.0/)16.4B params · inclusionAI                                          | **12.5** / 16.0 GB   | Q4Fits      |
| [Kimi-VL-A3B-Instruct](https://whatcanirunai.vercel.app/models/kimi-vl-a3b-instruct/)16.4B params · moonshotai                                           | **12.4** / 16.0 GB   | Q4Fits      |
| [Kimi-VL-A3B-Thinking](https://whatcanirunai.vercel.app/models/kimi-vl-a3b-thinking/)16.4B params · moonshotai                                           | **12.4** / 16.0 GB   | Q4Fits      |
| [Kimi-VL-A3B-Thinking-2506](https://whatcanirunai.vercel.app/models/kimi-vl-a3b-thinking-2506/)16.4B params · moonshotai                                 | **12.4** / 16.0 GB   | Q4Fits      |
| [LLaDA2.1-mini](https://whatcanirunai.vercel.app/models/llada2.1-mini/)16.3B params · inclusionAI                                                        | **12.3** / 16.0 GB   | Q4Fits      |
| [LLaDA2.0-mini](https://whatcanirunai.vercel.app/models/llada2.0-mini/)16.3B params · inclusionAI                                                        | **12.3** / 16.0 GB   | Q4Fits      |
| [Ling-mini-2.0](https://whatcanirunai.vercel.app/models/ling-mini-2.0/)16.3B params · inclusionAI                                                        | **12.3** / 16.0 GB   | Q4Fits      |
| [Ring-mini-2.0](https://whatcanirunai.vercel.app/models/ring-mini-2.0/)16.3B params · inclusionAI                                                        | **12.3** / 16.0 GB   | Q4Fits      |
| [LLaDA2.2-mini](https://whatcanirunai.vercel.app/models/llada2.2-mini/)16.3B params · inclusionAI                                                        | **12.3** / 16.0 GB   | Q4Fits      |
| [LLaDA2.0-mini-preview](https://whatcanirunai.vercel.app/models/llada2.0-mini-preview/)16.3B params · inclusionAI                                        | **12.3** / 16.0 GB   | Q4Fits      |
| [Moonlight-16B-A3B-Instruct](https://whatcanirunai.vercel.app/models/moonlight-16b-a3b-instruct/)16.0B params · moonshotai                               | **12.1** / 16.0 GB   | Q4Fits      |
| [Moonlight-16B-A3B](https://whatcanirunai.vercel.app/models/moonlight-16b-a3b/)16.0B params · moonshotai                                                 | **12.1** / 16.0 GB   | Q4Fits      |
| [Instella-MoE-16B-A3B-Think](https://whatcanirunai.vercel.app/models/instella-moe-16b-a3b-think/)15.9B params · amd                                      | **12.1** / 16.0 GB   | Q4Fits      |
| [DeepSeek-Coder-V2-Lite-Instruct](https://whatcanirunai.vercel.app/models/deepseek-coder-v2-lite-instruct/)15.7B params · deepseek-ai                    | **12.0** / 16.0 GB   | Q4Fits      |
| [kanana-1.5-15.7b-a3b-instruct](https://whatcanirunai.vercel.app/models/kanana-1.5-15.7b-a3b-instruct/)15.7B params · kakaocorp                          | **11.9** / 16.0 GB   | Q4Fits      |
| [Phi-4-reasoning-vision-15B](https://whatcanirunai.vercel.app/models/phi-4-reasoning-vision-15b/)15.1B params · microsoft                                | **11.5** / 16.0 GB   | Q4Fits      |
| [Apriel-Nemotron-15b-Thinker](https://whatcanirunai.vercel.app/models/apriel-nemotron-15b-thinker/)15.0B params · ServiceNow-AI                          | **11.4** / 16.0 GB   | Q4Fits      |
| [Apriel-1.5-15b-Thinker](https://whatcanirunai.vercel.app/models/apriel-1.5-15b-thinker/)14.9B params · ServiceNow-AI                                    | **11.4** / 16.0 GB   | Q4Fits      |
| [Apriel-1.6-15b-Thinker](https://whatcanirunai.vercel.app/models/apriel-1.6-15b-thinker/)14.9B params · ServiceNow-AI                                    | **11.4** / 16.0 GB   | Q4Fits      |
| [Carbon-X (DNA)](https://whatcanirunai.vercel.app/models/carbon-x/)14.8B params · HuggingFaceBio                                                         | **11.3** / 16.0 GB   | Q4Fits      |
| [Qwen2.5-Coder-14B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-coder-14b-instruct/)14.8B params · Qwen                                     | **11.3** / 16.0 GB   | Q4Fits      |
| [DeepSeek-R1-Distill-Qwen-14B](https://whatcanirunai.vercel.app/models/deepseek-r1-distill-qwen-14b/)14.8B params · deepseek-ai                          | **11.3** / 16.0 GB   | Q4Fits      |
| [Qwen2.5-14B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-14b-instruct/)14.8B params · Qwen                                                 | **11.3** / 16.0 GB   | Q4Fits      |
| [Qwen2.5-14B](https://whatcanirunai.vercel.app/models/qwen2.5-14b/)14.8B params · Qwen                                                                   | **11.3** / 16.0 GB   | Q4Fits      |
| [Qwen2.5-14B-Instruct-1M](https://whatcanirunai.vercel.app/models/qwen2.5-14b-instruct-1m/)14.8B params · Qwen                                           | **11.3** / 16.0 GB   | Q4Fits      |
| [Qwen2.5-Coder-14B](https://whatcanirunai.vercel.app/models/qwen2.5-coder-14b/)14.8B params · Qwen                                                       | **11.3** / 16.0 GB   | Q4Fits      |
| [Qwen3-14B](https://whatcanirunai.vercel.app/models/qwen3-14b/)14.8B params · Qwen                                                                       | **11.3** / 16.0 GB   | Q4Fits      |
| [JanusCoder-14B](https://whatcanirunai.vercel.app/models/januscoder-14b/)14.8B params · internlm                                                         | **11.3** / 16.0 GB   | Q4Fits      |
| [HyperCLOVAX-SEED-Think-14B](https://whatcanirunai.vercel.app/models/hyperclovax-seed-think-14b/)14.7B params · naver-hyperclovax                        | **11.3** / 16.0 GB   | Q4Fits      |
| [phi-4](https://whatcanirunai.vercel.app/models/phi-4/)14.7B params · microsoft                                                                          | **11.2** / 16.0 GB   | Q4Fits      |
| [Phi-4-reasoning](https://whatcanirunai.vercel.app/models/phi-4-reasoning/)14.7B params · microsoft                                                      | **11.2** / 16.0 GB   | Q4Fits      |
| [Phi-4-reasoning-plus](https://whatcanirunai.vercel.app/models/phi-4-reasoning-plus/)14.7B params · microsoft                                            | **11.2** / 16.0 GB   | Q4Fits      |
| [OLMo-2-1124-13B-Instruct](https://whatcanirunai.vercel.app/models/olmo-2-1124-13b-instruct/)13.7B params · allenai                                      | **10.6** / 16.0 GB   | Q4Fits      |
| [Mistral-Nemo-Instruct-2407](https://whatcanirunai.vercel.app/models/mistral-nemo-instruct-2407/)12.2B params · mistralai                                | **9.5** / 16.0 GB    | Q4Fits      |
| [gemma-3-12b-it](https://whatcanirunai.vercel.app/models/gemma-3-12b-it/)12.2B params · google                                                           | **9.5** / 16.0 GB    | Q4Fits      |
| [gemma-3-12b-pt](https://whatcanirunai.vercel.app/models/gemma-3-12b-pt/)12.2B params · google                                                           | **9.5** / 16.0 GB    | Q4Fits      |
| [Mellum2.1-12B-A2.5B-Thinking](https://whatcanirunai.vercel.app/models/mellum2.1-12b-a2.5b-thinking/)12.1B params · JetBrains                            | **9.5** / 16.0 GB    | Q4Fits      |
| [Mellum2-12B-A2.5B-Thinking](https://whatcanirunai.vercel.app/models/mellum2-12b-a2.5b-thinking/)12.1B params · JetBrains                                | **9.5** / 16.0 GB    | Q4Fits      |
| [Mellum2-12B-A2.5B-Instruct](https://whatcanirunai.vercel.app/models/mellum2-12b-a2.5b-instruct/)12.1B params · JetBrains                                | **9.5** / 16.0 GB    | Q4Fits      |
| [Mellum2-12B-A2.5B-Thinking-SFT](https://whatcanirunai.vercel.app/models/mellum2-12b-a2.5b-thinking-sft/)12.1B params · JetBrains                        | **9.5** / 16.0 GB    | Q4Fits      |
| [Mellum2.1-12B-A2.5B-Thinking-MTP](https://whatcanirunai.vercel.app/models/mellum2.1-12b-a2.5b-thinking-mtp/)12.1B params · JetBrains                    | **9.5** / 16.0 GB    | Q4Fits      |
| [Gemma 4 12B](https://whatcanirunai.vercel.app/models/gemma-4-12b-it/)12.0B params · google                                                              | **9.3** / 16.0 GB    | Q4Fits      |
| [HyperCLOVAX-SEED-Omni-8B](https://whatcanirunai.vercel.app/models/hyperclovax-seed-omni-8b/)10.7B params · naver-hyperclovax                            | **8.5** / 16.0 GB    | Q4Fits      |
| [Llama-3.2-11B-Vision-Instruct](https://whatcanirunai.vercel.app/models/llama-3.2-11b-vision-instruct/)10.7B params · meta-llama                         | **8.4** / 16.0 GB    | Q4Fits      |
| [Llama-3.2-11B-Vision](https://whatcanirunai.vercel.app/models/llama-3.2-11b-vision/)10.6B params · meta-llama                                           | **8.4** / 16.0 GB    | Q4Fits      |
| [Falcon3-10B-Instruct](https://whatcanirunai.vercel.app/models/falcon3-10b-instruct/)10.3B params · tiiuae                                               | **8.2** / 16.0 GB    | Q4Fits      |
| [GLM-4.1V-9B-Thinking](https://whatcanirunai.vercel.app/models/glm-4.1v-9b-thinking/)10.3B params · zai-org                                              | **8.2** / 16.0 GB    | Q4Fits      |
| [GLM-4.6V-Flash](https://whatcanirunai.vercel.app/models/glm-4.6v-flash/)10.3B params · zai-org                                                          | **8.2** / 16.0 GB    | Q4Fits      |
| [GLM-4.1V-9B-Base](https://whatcanirunai.vercel.app/models/glm-4.1v-9b-base/)10.3B params · zai-org                                                      | **8.2** / 16.0 GB    | Q4Fits      |
| [Glyph](https://whatcanirunai.vercel.app/models/glyph/)10.3B params · zai-org                                                                            | **8.2** / 16.0 GB    | Q4Fits      |
| [INTELLECT-1-Instruct](https://whatcanirunai.vercel.app/models/intellect-1-instruct/)10.2B params · PrimeIntellect                                       | **8.1** / 16.0 GB    | Q4Fits      |
| [INTELLECT-1](https://whatcanirunai.vercel.app/models/intellect-1/)10.2B params · PrimeIntellect                                                         | **8.1** / 16.0 GB    | Q4Fits      |
| [ZAYA1-VL-8B](https://whatcanirunai.vercel.app/models/zaya1-vl-8b/)9.7B params · Zyphra                                                                  | **7.8** / 16.0 GB    | Q4Fits      |
| [SenseNova-Loop-9B-Preview](https://whatcanirunai.vercel.app/models/sensenova-loop-9b-preview/)9.7B params · sensenova                                   | **7.7** / 16.0 GB    | Q4Fits      |
| [Ornith-1.5-9B](https://whatcanirunai.vercel.app/models/ornith-1.5-9b/)9.7B params · ornith-ai                                                           | **7.7** / 16.0 GB    | Q4Fits      |
| [Qwen3.5-9B](https://whatcanirunai.vercel.app/models/qwen3.5-9b/)9.7B params · Qwen                                                                      | **7.7** / 16.0 GB    | Q4Fits      |
| [MiniCPM-SALA](https://whatcanirunai.vercel.app/models/minicpm-sala/)9.5B params · openbmb                                                               | **7.6** / 16.0 GB    | Q4Fits      |
| [NorthCUA-Nano](https://whatcanirunai.vercel.app/models/northcua-nano/)9.4B params · beipo-ai                                                            | **7.6** / 16.0 GB    | Q4Fits      |
| [GLM-4-9B-0414](https://whatcanirunai.vercel.app/models/glm-4-9b-0414/)9.4B params · zai-org                                                             | **7.6** / 16.0 GB    | Q4Fits      |
| [GLM-Z1-9B-0414](https://whatcanirunai.vercel.app/models/glm-z1-9b-0414/)9.4B params · zai-org                                                           | **7.6** / 16.0 GB    | Q4Fits      |
| [codegeex4-all-9b](https://whatcanirunai.vercel.app/models/codegeex4-all-9b/)9.4B params · zai-org                                                       | **7.6** / 16.0 GB    | Q4Fits      |
| [glm-4-9b-chat-hf](https://whatcanirunai.vercel.app/models/glm-4-9b-chat-hf/)9.4B params · zai-org                                                       | **7.6** / 16.0 GB    | Q4Fits      |
| [moondream3-preview](https://whatcanirunai.vercel.app/models/moondream3-preview/)9.3B params · moondream                                                 | **7.5** / 16.0 GB    | Q4Fits      |
| [gemma-2-9b-it](https://whatcanirunai.vercel.app/models/gemma-2-9b-it/)9.2B params · google                                                              | **7.4** / 16.0 GB    | Q4Fits      |
| [gemma-2-9b](https://whatcanirunai.vercel.app/models/gemma-2-9b/)9.2B params · google                                                                    | **7.4** / 16.0 GB    | Q4Fits      |
| [Gemma-SEA-LION-v3-9B-IT](https://whatcanirunai.vercel.app/models/gemma-sea-lion-v3-9b-it/)9.2B params · aisingapore                                     | **7.4** / 16.0 GB    | Q4Fits      |
| [EuroLLM-9B-Instruct-2512](https://whatcanirunai.vercel.app/models/eurollm-9b-instruct-2512/)9.2B params · utter-project                                 | **7.4** / 16.0 GB    | Q4Fits      |
| [NVIDIA-Nemotron-Nano-9B-v2](https://whatcanirunai.vercel.app/models/nvidia-nemotron-nano-9b-v2/)8.9B params · nvidia                                    | **7.2** / 16.0 GB    | Q4Fits      |
| [ZAYA1-base](https://whatcanirunai.vercel.app/models/zaya1-base/)8.8B params · Zyphra                                                                    | **7.2** / 16.0 GB    | Q4Fits      |
| [Yi-Coder-9B-Chat](https://whatcanirunai.vercel.app/models/yi-coder-9b-chat/)8.8B params · 01-ai                                                         | **7.2** / 16.0 GB    | Q4Fits      |
| [Yi-Coder-9B](https://whatcanirunai.vercel.app/models/yi-coder-9b/)8.8B params · 01-ai                                                                   | **7.2** / 16.0 GB    | Q4Fits      |
| [internlm3-8b-instruct](https://whatcanirunai.vercel.app/models/internlm3-8b-instruct/)8.8B params · internlm                                            | **7.1** / 16.0 GB    | Q4Fits      |
| [granite-4.1-8b](https://whatcanirunai.vercel.app/models/granite-4.1-8b/)8.8B params · ibm-granite                                                       | **7.1** / 16.0 GB    | Q4Fits      |
| [granite-4.2-8b](https://whatcanirunai.vercel.app/models/granite-4.2-8b/)8.8B params · ibm-granite                                                       | **7.1** / 16.0 GB    | Q4Fits      |
| [granite-switch-4.1-8b](https://whatcanirunai.vercel.app/models/granite-switch-4.1-8b/)8.8B params · ibm-granite                                         | **7.1** / 16.0 GB    | Q4Fits      |
| [Qwen3-VL-8B-Instruct](https://whatcanirunai.vercel.app/models/qwen3-vl-8b-instruct/)8.8B params · Qwen                                                  | **7.1** / 16.0 GB    | Q4Fits      |
| [Qwen3-VL-8B-Thinking](https://whatcanirunai.vercel.app/models/qwen3-vl-8b-thinking/)8.8B params · Qwen                                                  | **7.1** / 16.0 GB    | Q4Fits      |
| [UI-Venus-1.5-8B](https://whatcanirunai.vercel.app/models/ui-venus-1.5-8b/)8.8B params · inclusionAI                                                     | **7.1** / 16.0 GB    | Q4Fits      |
| [Llama-3.1-Nemotron-Nano-VL-8B-V1](https://whatcanirunai.vercel.app/models/llama-3.1-nemotron-nano-vl-8b-v1/)8.7B params · nvidia                        | **7.1** / 16.0 GB    | Q4Fits      |
| [MiniCPM-V-4\_5](https://whatcanirunai.vercel.app/models/minicpm-v-4-5/)8.7B params · openbmb                                                            | **7.1** / 16.0 GB    | Q4Fits      |
| [aya-vision-8b](https://whatcanirunai.vercel.app/models/aya-vision-8b/)8.6B params · CohereLabs                                                          | **7.0** / 16.0 GB    | Q4Fits      |
| [Intern-S1-mini](https://whatcanirunai.vercel.app/models/intern-s1-mini/)8.5B params · internlm                                                          | **7.0** / 16.0 GB    | Q4Fits      |
| [Nemotron-Labs-Diffusion-8B-Base](https://whatcanirunai.vercel.app/models/nemotron-labs-diffusion-8b-base/)8.5B params · nvidia                          | **6.9** / 16.0 GB    | Q4Fits      |
| [LFM2.5-8B-A1B](https://whatcanirunai.vercel.app/models/lfm2.5-8b-a1b/)8.5B params · LiquidAI                                                            | **6.9** / 16.0 GB    | Q4Fits      |
| [Mistral-NeMo-Minitron-8B-Base](https://whatcanirunai.vercel.app/models/mistral-nemo-minitron-8b-base/)8.4B params · nvidia                              | **6.9** / 16.0 GB    | Q4Fits      |
| [LFM2-8B-A1B](https://whatcanirunai.vercel.app/models/lfm2-8b-a1b/)8.3B params · LiquidAI                                                                | **6.8** / 16.0 GB    | Q4Fits      |
| [rnj-1-instruct](https://whatcanirunai.vercel.app/models/rnj-1-instruct/)8.3B params · EssentialAI                                                       | **6.8** / 16.0 GB    | Q4Fits      |
| [MiMo-VL-7B-RL-2508](https://whatcanirunai.vercel.app/models/mimo-vl-7b-rl-2508/)8.3B params · XiaomiMiMo                                                | **6.8** / 16.0 GB    | Q4Fits      |
| [MiMo-VL-7B-RL](https://whatcanirunai.vercel.app/models/mimo-vl-7b-rl/)8.3B params · XiaomiMiMo                                                          | **6.8** / 16.0 GB    | Q4Fits      |
| [MiMo-Embodied-7B](https://whatcanirunai.vercel.app/models/mimo-embodied-7b/)8.3B params · XiaomiMiMo                                                    | **6.8** / 16.0 GB    | Q4Fits      |
| [MiMo-VL-7B-SFT](https://whatcanirunai.vercel.app/models/mimo-vl-7b-sft/)8.3B params · XiaomiMiMo                                                        | **6.8** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-VL-7B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-vl-7b-instruct/)8.3B params · Qwen                                              | **6.8** / 16.0 GB    | Q4Fits      |
| [UI-TARS-1.5-7B](https://whatcanirunai.vercel.app/models/ui-tars-1.5-7b/)8.3B params · ByteDance-Seed                                                    | **6.8** / 16.0 GB    | Q4Fits      |
| [Fara-7B](https://whatcanirunai.vercel.app/models/fara-7b/)8.3B params · microsoft                                                                       | **6.8** / 16.0 GB    | Q4Fits      |
| [UI-Venus-Ground-7B](https://whatcanirunai.vercel.app/models/ui-venus-ground-7b/)8.3B params · inclusionAI                                               | **6.8** / 16.0 GB    | Q4Fits      |
| [Qwen2-VL-7B-Instruct](https://whatcanirunai.vercel.app/models/qwen2-vl-7b-instruct/)8.3B params · Qwen                                                  | **6.8** / 16.0 GB    | Q4Fits      |
| [UI-TARS-7B-DPO](https://whatcanirunai.vercel.app/models/ui-tars-7b-dpo/)8.3B params · ByteDance-Seed                                                    | **6.8** / 16.0 GB    | Q4Fits      |
| [UI-TARS-7B-SFT](https://whatcanirunai.vercel.app/models/ui-tars-7b-sft/)8.3B params · ByteDance-Seed                                                    | **6.8** / 16.0 GB    | Q4Fits      |
| [Seed-Coder-8B-Instruct](https://whatcanirunai.vercel.app/models/seed-coder-8b-instruct/)8.3B params · ByteDance-Seed                                    | **6.8** / 16.0 GB    | Q4Fits      |
| [Seed-Coder-8B-Reasoning](https://whatcanirunai.vercel.app/models/seed-coder-8b-reasoning/)8.3B params · ByteDance-Seed                                  | **6.8** / 16.0 GB    | Q4Fits      |
| [Stable-DiffCoder-8B-Instruct](https://whatcanirunai.vercel.app/models/stable-diffcoder-8b-instruct/)8.3B params · ByteDance-Seed                        | **6.8** / 16.0 GB    | Q4Fits      |
| [Qwen3-8B](https://whatcanirunai.vercel.app/models/qwen3-8b/)8.2B params · Qwen                                                                          | **6.7** / 16.0 GB    | Q4Fits      |
| [DeepSeek-R1-0528-Qwen3-8B](https://whatcanirunai.vercel.app/models/deepseek-r1-0528-qwen3-8b/)8.2B params · deepseek-ai                                 | **6.7** / 16.0 GB    | Q4Fits      |
| [Qwen3-8B-Base](https://whatcanirunai.vercel.app/models/qwen3-8b-base/)8.2B params · Qwen                                                                | **6.7** / 16.0 GB    | Q4Fits      |
| [WeDLM-8B-Instruct](https://whatcanirunai.vercel.app/models/wedlm-8b-instruct/)8.2B params · tencent                                                     | **6.7** / 16.0 GB    | Q4Fits      |
| [PaCoRe-8B](https://whatcanirunai.vercel.app/models/pacore-8b/)8.2B params · stepfun-ai                                                                  | **6.7** / 16.0 GB    | Q4Fits      |
| [MiniCPM4-8B](https://whatcanirunai.vercel.app/models/minicpm4-8b/)8.2B params · openbmb                                                                 | **6.7** / 16.0 GB    | Q4Fits      |
| [MiniCPM4.1-8B](https://whatcanirunai.vercel.app/models/minicpm4.1-8b/)8.2B params · openbmb                                                             | **6.7** / 16.0 GB    | Q4Fits      |
| [AgentCPM-Report](https://whatcanirunai.vercel.app/models/agentcpm-report/)8.2B params · openbmb                                                         | **6.7** / 16.0 GB    | Q4Fits      |
| [MiniCPM4-MCP](https://whatcanirunai.vercel.app/models/minicpm4-mcp/)8.2B params · openbmb                                                               | **6.7** / 16.0 GB    | Q4Fits      |
| [granite-3.3-8b-instruct](https://whatcanirunai.vercel.app/models/granite-3.3-8b-instruct/)8.2B params · ibm-granite                                     | **6.7** / 16.0 GB    | Q4Fits      |
| [granite-3.1-8b-instruct](https://whatcanirunai.vercel.app/models/granite-3.1-8b-instruct/)8.2B params · ibm-granite                                     | **6.7** / 16.0 GB    | Q4Fits      |
| [granite-3.2-8b-instruct](https://whatcanirunai.vercel.app/models/granite-3.2-8b-instruct/)8.2B params · ibm-granite                                     | **6.7** / 16.0 GB    | Q4Fits      |
| [granite-3.0-8b-instruct](https://whatcanirunai.vercel.app/models/granite-3.0-8b-instruct/)8.2B params · ibm-granite                                     | **6.7** / 16.0 GB    | Q4Fits      |
| [Apertus-8B-Instruct-2509](https://whatcanirunai.vercel.app/models/apertus-8b-instruct-2509/)8.1B params · swiss-ai                                      | **6.6** / 16.0 GB    | Q4Fits      |
| [Apertus-8B-2509](https://whatcanirunai.vercel.app/models/apertus-8b-2509/)8.1B params · swiss-ai                                                        | **6.6** / 16.0 GB    | Q4Fits      |
| [Llama-3.1-Tulu-3-8B](https://whatcanirunai.vercel.app/models/llama-3.1-tulu-3-8b/)8.0B params · allenai                                                 | **6.6** / 16.0 GB    | Q4Fits      |
| [Llama-3.1-Tulu-3-8B-DPO](https://whatcanirunai.vercel.app/models/llama-3.1-tulu-3-8b-dpo/)8.0B params · allenai                                         | **6.6** / 16.0 GB    | Q4Fits      |
| [Llama-3.1-Tulu-3.1-8B](https://whatcanirunai.vercel.app/models/llama-3.1-tulu-3.1-8b/)8.0B params · allenai                                             | **6.6** / 16.0 GB    | Q4Fits      |
| [kanana-1.5-8b-instruct-2505](https://whatcanirunai.vercel.app/models/kanana-1.5-8b-instruct-2505/)8.0B params · kakaocorp                               | **6.6** / 16.0 GB    | Q4Fits      |
| [Llama-3.1-8B-Instruct](https://whatcanirunai.vercel.app/models/llama-3.1-8b-instruct/)8.0B params · meta-llama                                          | **6.6** / 16.0 GB    | Q4Fits      |
| [Llama-3.1-8B](https://whatcanirunai.vercel.app/models/llama-3.1-8b/)8.0B params · meta-llama                                                            | **6.6** / 16.0 GB    | Q4Fits      |
| [DeepSeek-R1-Distill-Llama-8B](https://whatcanirunai.vercel.app/models/deepseek-r1-distill-llama-8b/)8.0B params · deepseek-ai                           | **6.6** / 16.0 GB    | Q4Fits      |
| [Meta-Llama-3.1-8B-Instruct](https://whatcanirunai.vercel.app/models/meta-llama-3.1-8b-instruct/)8.0B params · NousResearch                              | **6.6** / 16.0 GB    | Q4Fits      |
| [L3-8B-Stheno-v3.2](https://whatcanirunai.vercel.app/models/l3-8b-stheno-v3.2/)8.0B params · Sao10K                                                      | **6.6** / 16.0 GB    | Q4Fits      |
| [Llama-3.1-Nemotron-Nano-8B-v1](https://whatcanirunai.vercel.app/models/llama-3.1-nemotron-nano-8b-v1/)8.0B params · nvidia                              | **6.6** / 16.0 GB    | Q4Fits      |
| [Meta-Llama-3.1-8B](https://whatcanirunai.vercel.app/models/meta-llama-3.1-8b/)8.0B params · NousResearch                                                | **6.6** / 16.0 GB    | Q4Fits      |
| [LongWriter-llama3.1-8b](https://whatcanirunai.vercel.app/models/longwriter-llama3.1-8b/)8.0B params · zai-org                                           | **6.6** / 16.0 GB    | Q4Fits      |
| [Hy-MT2-7B](https://whatcanirunai.vercel.app/models/hy-mt2-7b/)8.0B params · tencent                                                                     | **6.6** / 16.0 GB    | Q4Fits      |
| [Nemotron 3.5 Bolt E4B](https://whatcanirunai.vercel.app/models/nemotron-3.5-bolt-e4b/)8.0B params · nvidia                                              | **6.6** / 16.0 GB    | Q4Fits      |
| [Gemma 4 E4B](https://whatcanirunai.vercel.app/models/gemma-4-e4b-it/)8.0B params · google                                                               | **6.6** / 16.0 GB    | Q4Fits      |
| [Ling-3.0-tiny](https://whatcanirunai.vercel.app/models/ling-3.0-tiny/)7.9B params · inclusionAI                                                         | **6.5** / 16.0 GB    | Q4Fits      |
| [MiMo-7B-RL](https://whatcanirunai.vercel.app/models/mimo-7b-rl/)7.8B params · XiaomiMiMo                                                                | **6.5** / 16.0 GB    | Q4Fits      |
| [MiMo-7B-Base](https://whatcanirunai.vercel.app/models/mimo-7b-base/)7.8B params · XiaomiMiMo                                                            | **6.5** / 16.0 GB    | Q4Fits      |
| [MiMo-7B-RL-0530](https://whatcanirunai.vercel.app/models/mimo-7b-rl-0530/)7.8B params · XiaomiMiMo                                                      | **6.5** / 16.0 GB    | Q4Fits      |
| [MiMo-7B-SFT](https://whatcanirunai.vercel.app/models/mimo-7b-sft/)7.8B params · XiaomiMiMo                                                              | **6.5** / 16.0 GB    | Q4Fits      |
| [EXAONE-3.5-7.8B-Instruct](https://whatcanirunai.vercel.app/models/exaone-3.5-7.8b-instruct/)7.8B params · LGAI-EXAONE                                   | **6.5** / 16.0 GB    | Q4Fits      |
| [EXAONE-Deep-7.8B](https://whatcanirunai.vercel.app/models/exaone-deep-7.8b/)7.8B params · LGAI-EXAONE                                                   | **6.5** / 16.0 GB    | Q4Fits      |
| [salamandra-7b-instruct](https://whatcanirunai.vercel.app/models/salamandra-7b-instruct/)7.8B params · BSC-LT                                            | **6.4** / 16.0 GB    | Q4Fits      |
| [salamandra-7b](https://whatcanirunai.vercel.app/models/salamandra-7b/)7.8B params · BSC-LT                                                              | **6.4** / 16.0 GB    | Q4Fits      |
| [salamandra-7b-instruct-2606](https://whatcanirunai.vercel.app/models/salamandra-7b-instruct-2606/)7.8B params · BSC-LT                                  | **6.4** / 16.0 GB    | Q4Fits      |
| [FastVLM-7B](https://whatcanirunai.vercel.app/models/fastvlm-7b/)7.8B params · apple                                                                     | **6.4** / 16.0 GB    | Q4Fits      |
| [Molmo2-O-7B](https://whatcanirunai.vercel.app/models/molmo2-o-7b/)7.8B params · allenai                                                                 | **6.4** / 16.0 GB    | Q4Fits      |
| [internlm2\_5-7b-chat](https://whatcanirunai.vercel.app/models/internlm2-5-7b-chat/)7.7B params · internlm                                               | **6.4** / 16.0 GB    | Q4Fits      |
| [internlm2\_5-7b-chat-1m](https://whatcanirunai.vercel.app/models/internlm2-5-7b-chat-1m/)7.7B params · internlm                                         | **6.4** / 16.0 GB    | Q4Fits      |
| [Phi-mini-MoE-instruct](https://whatcanirunai.vercel.app/models/phi-mini-moe-instruct/)7.6B params · microsoft                                           | **6.3** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-Coder-7B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-coder-7b-instruct/)7.6B params · Qwen                                        | **6.3** / 16.0 GB    | Q4Fits      |
| [DeepSeek-R1-Distill-Qwen-7B](https://whatcanirunai.vercel.app/models/deepseek-r1-distill-qwen-7b/)7.6B params · deepseek-ai                             | **6.3** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-7B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-7b-instruct/)7.6B params · Qwen                                                    | **6.3** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-7B](https://whatcanirunai.vercel.app/models/qwen2.5-7b/)7.6B params · Qwen                                                                      | **6.3** / 16.0 GB    | Q4Fits      |
| [Qwen2-7B-Instruct](https://whatcanirunai.vercel.app/models/qwen2-7b-instruct/)7.6B params · Qwen                                                        | **6.3** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-Coder-7B](https://whatcanirunai.vercel.app/models/qwen2.5-coder-7b/)7.6B params · Qwen                                                          | **6.3** / 16.0 GB    | Q4Fits      |
| [Qwen2-7B](https://whatcanirunai.vercel.app/models/qwen2-7b/)7.6B params · Qwen                                                                          | **6.3** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-7B-Instruct-1M](https://whatcanirunai.vercel.app/models/qwen2.5-7b-instruct-1m/)7.6B params · Qwen                                              | **6.3** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-Math-7B](https://whatcanirunai.vercel.app/models/qwen2.5-math-7b/)7.6B params · Qwen                                                            | **6.3** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-Math-7B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-math-7b-instruct/)7.6B params · Qwen                                          | **6.3** / 16.0 GB    | Q4Fits      |
| [Marco-o1](https://whatcanirunai.vercel.app/models/marco-o1/)7.6B params · ATH-MaaS                                                                      | **6.3** / 16.0 GB    | Q4Fits      |
| [SeaLLMs-v3-7B-Chat](https://whatcanirunai.vercel.app/models/seallms-v3-7b-chat/)7.6B params · SeaLLMs                                                   | **6.3** / 16.0 GB    | Q4Fits      |
| [Arcee-Spark](https://whatcanirunai.vercel.app/models/arcee-spark/)7.6B params · arcee-ai                                                                | **6.3** / 16.0 GB    | Q4Fits      |
| [Falcon-H1-7B-Instruct](https://whatcanirunai.vercel.app/models/falcon-h1-7b-instruct/)7.6B params · tiiuae                                              | **6.3** / 16.0 GB    | Q4Fits      |
| [Falcon-H1R-7B](https://whatcanirunai.vercel.app/models/falcon-h1r-7b/)7.6B params · tiiuae                                                              | **6.3** / 16.0 GB    | Q4Fits      |
| [starvector-8b-im2svg](https://whatcanirunai.vercel.app/models/starvector-8b-im2svg/)7.5B params · starvector                                            | **6.2** / 16.0 GB    | Q4Fits      |
| [Falcon3-7B-Instruct](https://whatcanirunai.vercel.app/models/falcon3-7b-instruct/)7.5B params · tiiuae                                                  | **6.2** / 16.0 GB    | Q4Fits      |
| [Olmo-Hybrid-7B](https://whatcanirunai.vercel.app/models/olmo-hybrid-7b/)7.4B params · allenai                                                           | **6.2** / 16.0 GB    | Q4Fits      |
| [LLaDA-MoE-7B-A1B-Base](https://whatcanirunai.vercel.app/models/llada-moe-7b-a1b-base/)7.4B params · inclusionAI                                         | **6.1** / 16.0 GB    | Q4Fits      |
| [Zamba2-7B-Instruct](https://whatcanirunai.vercel.app/models/zamba2-7b-instruct/)7.4B params · Zyphra                                                    | **6.1** / 16.0 GB    | Q4Fits      |
| [OLMo-2-1124-7B-Instruct](https://whatcanirunai.vercel.app/models/olmo-2-1124-7b-instruct/)7.3B params · allenai                                         | **6.1** / 16.0 GB    | Q4Fits      |
| [Olmo-3-7B-Think](https://whatcanirunai.vercel.app/models/olmo-3-7b-think/)7.3B params · allenai                                                         | **6.1** / 16.0 GB    | Q4Fits      |
| [Olmo-3-7B-Instruct](https://whatcanirunai.vercel.app/models/olmo-3-7b-instruct/)7.3B params · allenai                                                   | **6.1** / 16.0 GB    | Q4Fits      |
| [Olmo-3-1025-7B](https://whatcanirunai.vercel.app/models/olmo-3-1025-7b/)7.3B params · allenai                                                           | **6.1** / 16.0 GB    | Q4Fits      |
| [Olmo-3-7B-Instruct-SFT](https://whatcanirunai.vercel.app/models/olmo-3-7b-instruct-sft/)7.3B params · allenai                                           | **6.1** / 16.0 GB    | Q4Fits      |
| [Olmo-3-7B-Think-SFT](https://whatcanirunai.vercel.app/models/olmo-3-7b-think-sft/)7.3B params · allenai                                                 | **6.1** / 16.0 GB    | Q4Fits      |
| [Olmo-3-7B-Instruct-DPO](https://whatcanirunai.vercel.app/models/olmo-3-7b-instruct-dpo/)7.3B params · allenai                                           | **6.1** / 16.0 GB    | Q4Fits      |
| [Olmo-3-7B-RL-Zero-Math](https://whatcanirunai.vercel.app/models/olmo-3-7b-rl-zero-math/)7.3B params · allenai                                           | **6.1** / 16.0 GB    | Q4Fits      |
| [Olmo-3.1-7B-RL-Zero-Math](https://whatcanirunai.vercel.app/models/olmo-3.1-7b-rl-zero-math/)7.3B params · allenai                                       | **6.1** / 16.0 GB    | Q4Fits      |
| [Olmo-3-7B-Think-DPO](https://whatcanirunai.vercel.app/models/olmo-3-7b-think-dpo/)7.3B params · allenai                                                 | **6.1** / 16.0 GB    | Q4Fits      |
| [Mistral-7B-Instruct-v0.3](https://whatcanirunai.vercel.app/models/mistral-7b-instruct-v0.3/)7.2B params · mistralai                                     | **6.1** / 16.0 GB    | Q4Fits      |
| [granite-4.0-h-tiny](https://whatcanirunai.vercel.app/models/granite-4.0-h-tiny/)6.9B params · ibm-granite                                               | **5.8** / 16.0 GB    | Q4Fits      |
| [OLMoE-1B-7B-0924-Instruct](https://whatcanirunai.vercel.app/models/olmoe-1b-7b-0924-instruct/)6.9B params · allenai                                     | **5.8** / 16.0 GB    | Q4Fits      |
| [OLMoE-1B-7B-0924](https://whatcanirunai.vercel.app/models/olmoe-1b-7b-0924/)6.9B params · allenai                                                       | **5.8** / 16.0 GB    | Q4Fits      |
| [OLMoE-1B-7B-0125-Instruct](https://whatcanirunai.vercel.app/models/olmoe-1b-7b-0125-instruct/)6.9B params · allenai                                     | **5.8** / 16.0 GB    | Q4Fits      |
| [OLMoE-1B-7B-0125](https://whatcanirunai.vercel.app/models/olmoe-1b-7b-0125/)6.9B params · allenai                                                       | **5.8** / 16.0 GB    | Q4Fits      |
| [OLMo-7B-0724-hf](https://whatcanirunai.vercel.app/models/olmo-7b-0724-hf/)6.9B params · allenai                                                         | **5.8** / 16.0 GB    | Q4Fits      |
| [granite-4.0-tiny-preview](https://whatcanirunai.vercel.app/models/granite-4.0-tiny-preview/)6.7B params · ibm-granite                                   | **5.7** / 16.0 GB    | Q4Fits      |
| [YuE-s1-7B-anneal-en-cot](https://whatcanirunai.vercel.app/models/yue-s1-7b-anneal-en-cot/)6.2B params · m-a-p                                           | **5.3** / 16.0 GB    | Q4Fits      |
| [Trinity-Nano-Preview](https://whatcanirunai.vercel.app/models/trinity-nano-preview/)6.1B params · arcee-ai                                              | **5.3** / 16.0 GB    | Q4Fits      |
| [Trinity-Nano-Base](https://whatcanirunai.vercel.app/models/trinity-nano-base/)6.1B params · arcee-ai                                                    | **5.3** / 16.0 GB    | Q4Fits      |
| [gemma-3n-E2B-it](https://whatcanirunai.vercel.app/models/gemma-3n-e2b-it/)5.4B params · google                                                          | **4.8** / 16.0 GB    | Q4Fits      |
| [Youtu-VL-4B-Instruct](https://whatcanirunai.vercel.app/models/youtu-vl-4b-instruct/)5.3B params · tencent                                               | **4.7** / 16.0 GB    | Q4Fits      |
| [Gemma 4 E2B](https://whatcanirunai.vercel.app/models/gemma-4-e2b-it/)5.1B params · google                                                               | **4.6** / 16.0 GB    | Q4Fits      |
| [Molmo2-ER](https://whatcanirunai.vercel.app/models/molmo2-er/)4.9B params · allenai                                                                     | **4.4** / 16.0 GB    | Q4Fits      |
| [Apriel-5B-Instruct](https://whatcanirunai.vercel.app/models/apriel-5b-instruct/)4.8B params · ServiceNow-AI                                             | **4.4** / 16.0 GB    | Q4Fits      |
| [WeVisOne-VL-4B](https://whatcanirunai.vercel.app/models/wevisone-vl-4b/)4.8B params · tencent                                                           | **4.4** / 16.0 GB    | Q4Fits      |
| [Mage-VL](https://whatcanirunai.vercel.app/models/mage-vl/)4.7B params · microsoft                                                                       | **4.3** / 16.0 GB    | Q4Fits      |
| [Mage-VL-Cowork](https://whatcanirunai.vercel.app/models/mage-vl-cowork/)4.7B params · microsoft                                                         | **4.3** / 16.0 GB    | Q4Fits      |
| [Qwen3.5-4B](https://whatcanirunai.vercel.app/models/qwen3.5-4b/)4.7B params · Qwen                                                                      | **4.2** / 16.0 GB    | Q4Fits      |
| [S5-nano](https://whatcanirunai.vercel.app/models/s5-nano/)4.7B params · maritaca-ai                                                                     | **4.2** / 16.0 GB    | Q4Fits      |
| [AFM-4.5B](https://whatcanirunai.vercel.app/models/afm-4.5b/)4.6B params · arcee-ai                                                                      | **4.2** / 16.0 GB    | Q4Fits      |
| [Llama-3.1-Minitron-4B-Width-Base](https://whatcanirunai.vercel.app/models/llama-3.1-minitron-4b-width-base/)4.5B params · nvidia                        | **4.1** / 16.0 GB    | Q4Fits      |
| [Qwen3-VL-4B-Instruct](https://whatcanirunai.vercel.app/models/qwen3-vl-4b-instruct/)4.4B params · Qwen                                                  | **4.1** / 16.0 GB    | Q4Fits      |
| [CapRL-Qwen3VL-4B](https://whatcanirunai.vercel.app/models/caprl-qwen3vl-4b/)4.4B params · internlm                                                      | **4.1** / 16.0 GB    | Q4Fits      |
| [glm-edge-4b-chat](https://whatcanirunai.vercel.app/models/glm-edge-4b-chat/)4.3B params · zai-org                                                       | **4.0** / 16.0 GB    | Q4Fits      |
| [gemma-3-4b-it](https://whatcanirunai.vercel.app/models/gemma-3-4b-it/)4.3B params · google                                                              | **4.0** / 16.0 GB    | Q4Fits      |
| [medgemma-4b-it](https://whatcanirunai.vercel.app/models/medgemma-4b-it/)4.3B params · google                                                            | **4.0** / 16.0 GB    | Q4Fits      |
| [medgemma-1.5-4b-it](https://whatcanirunai.vercel.app/models/medgemma-1.5-4b-it/)4.3B params · google                                                    | **4.0** / 16.0 GB    | Q4Fits      |
| [gemma-3-4b-pt](https://whatcanirunai.vercel.app/models/gemma-3-4b-pt/)4.3B params · google                                                              | **4.0** / 16.0 GB    | Q4Fits      |
| [Nanbeige4.2-3B](https://whatcanirunai.vercel.app/models/nanbeige4.2-3b/)4.2B params · Nanbeige                                                          | **3.9** / 16.0 GB    | Q4Fits      |
| [Phi-3.5-vision-instruct](https://whatcanirunai.vercel.app/models/phi-3.5-vision-instruct/)4.1B params · microsoft                                       | **3.9** / 16.0 GB    | Q4Fits      |
| [Spark-X2.6-4B](https://whatcanirunai.vercel.app/models/spark-x2.6-4b/)4.1B params · XHToken                                                             | **3.9** / 16.0 GB    | Q4Fits      |
| [Spark-X2.5-4B](https://whatcanirunai.vercel.app/models/spark-x2.5-4b/)4.1B params · XHToken                                                             | **3.9** / 16.0 GB    | Q4Fits      |
| [POINTS-Reader](https://whatcanirunai.vercel.app/models/points-reader/)4.1B params · tencent                                                             | **3.9** / 16.0 GB    | Q4Fits      |
| [MiniCPM-V-4](https://whatcanirunai.vercel.app/models/minicpm-v-4/)4.1B params · openbmb                                                                 | **3.8** / 16.0 GB    | Q4Fits      |
| [Qwen3-4B](https://whatcanirunai.vercel.app/models/qwen3-4b/)4.0B params · Qwen                                                                          | **3.8** / 16.0 GB    | Q4Fits      |
| [Qwen3-4B-Instruct-2507](https://whatcanirunai.vercel.app/models/qwen3-4b-instruct-2507/)4.0B params · Qwen                                              | **3.8** / 16.0 GB    | Q4Fits      |
| [Qwen3-4B-Thinking-2507](https://whatcanirunai.vercel.app/models/qwen3-4b-thinking-2507/)4.0B params · Qwen                                              | **3.8** / 16.0 GB    | Q4Fits      |
| [Mellum-4b-base](https://whatcanirunai.vercel.app/models/mellum-4b-base/)4.0B params · JetBrains                                                         | **3.8** / 16.0 GB    | Q4Fits      |
| [granite-4.0-3b-vision](https://whatcanirunai.vercel.app/models/granite-4.0-3b-vision/)4.0B params · ibm-granite                                         | **3.8** / 16.0 GB    | Q4Fits      |
| [granite-vision-4.1-4b](https://whatcanirunai.vercel.app/models/granite-vision-4.1-4b/)4.0B params · ibm-granite                                         | **3.8** / 16.0 GB    | Q4Fits      |
| [Nemotron Labs Dory 1.0 4B](https://whatcanirunai.vercel.app/models/nemotron-labs-dory1.0-4b/)4.0B params · nvidia                                       | **3.8** / 16.0 GB    | Q4Fits      |
| [NVIDIA-Nemotron-3-Nano-4B-BF16](https://whatcanirunai.vercel.app/models/nvidia-nemotron-3-nano-4b-bf16/)4.0B params · nvidia                            | **3.8** / 16.0 GB    | Q4Fits      |
| [Nanbeige4.1-3B](https://whatcanirunai.vercel.app/models/nanbeige4.1-3b/)3.9B params · Nanbeige                                                          | **3.7** / 16.0 GB    | Q4Fits      |
| [Nanbeige4-3B-Thinking-2511](https://whatcanirunai.vercel.app/models/nanbeige4-3b-thinking-2511/)3.9B params · Nanbeige                                  | **3.7** / 16.0 GB    | Q4Fits      |
| [Phi-4-mini-flash-reasoning](https://whatcanirunai.vercel.app/models/phi-4-mini-flash-reasoning/)3.9B params · microsoft                                 | **3.7** / 16.0 GB    | Q4Fits      |
| [Phi-4-mini-instruct](https://whatcanirunai.vercel.app/models/phi-4-mini-instruct/)3.8B params · microsoft                                               | **3.7** / 16.0 GB    | Q4Fits      |
| [Phi-4-mini-reasoning](https://whatcanirunai.vercel.app/models/phi-4-mini-reasoning/)3.8B params · microsoft                                             | **3.7** / 16.0 GB    | Q4Fits      |
| [Nemotron-Labs-Diffusion-3B](https://whatcanirunai.vercel.app/models/nemotron-labs-diffusion-3b/)3.8B params · nvidia                                    | **3.7** / 16.0 GB    | Q4Fits      |
| [Phi-3.5-mini-instruct](https://whatcanirunai.vercel.app/models/phi-3.5-mini-instruct/)3.8B params · microsoft                                           | **3.7** / 16.0 GB    | Q4Fits      |
| [MediPhi-Instruct](https://whatcanirunai.vercel.app/models/mediphi-instruct/)3.8B params · microsoft                                                     | **3.7** / 16.0 GB    | Q4Fits      |
| [MediPhi](https://whatcanirunai.vercel.app/models/mediphi/)3.8B params · microsoft                                                                       | **3.7** / 16.0 GB    | Q4Fits      |
| [MediPhi-Clinical](https://whatcanirunai.vercel.app/models/mediphi-clinical/)3.8B params · microsoft                                                     | **3.7** / 16.0 GB    | Q4Fits      |
| [MediPhi-PubMed](https://whatcanirunai.vercel.app/models/mediphi-pubmed/)3.8B params · microsoft                                                         | **3.7** / 16.0 GB    | Q4Fits      |
| [HY-Embodied-0.5](https://whatcanirunai.vercel.app/models/hy-embodied-0.5/)3.8B params · tencent                                                         | **3.6** / 16.0 GB    | Q4Fits      |
| [Phi-tiny-MoE-instruct](https://whatcanirunai.vercel.app/models/phi-tiny-moe-instruct/)3.8B params · microsoft                                           | **3.6** / 16.0 GB    | Q4Fits      |
| [CapRL-3B](https://whatcanirunai.vercel.app/models/caprl-3b/)3.8B params · internlm                                                                      | **3.6** / 16.0 GB    | Q4Fits      |
| [HyperCLOVAX-SEED-Vision-Instruct-3B](https://whatcanirunai.vercel.app/models/hyperclovax-seed-vision-instruct-3b/)3.7B params · naver-hyperclovax       | **3.6** / 16.0 GB    | Q4Fits      |
| [kanana-1.5-v-3b-instruct](https://whatcanirunai.vercel.app/models/kanana-1.5-v-3b-instruct/)3.7B params · kakaocorp                                     | **3.6** / 16.0 GB    | Q4Fits      |
| [granite-4.2-3b](https://whatcanirunai.vercel.app/models/granite-4.2-3b/)3.7B params · ibm-granite                                                       | **3.6** / 16.0 GB    | Q4Fits      |
| [kanana-2-3b-instruct](https://whatcanirunai.vercel.app/models/kanana-2-3b-instruct/)3.5B params · kakaocorp                                             | **3.4** / 16.0 GB    | Q4Fits      |
| [granite-4.1-3b](https://whatcanirunai.vercel.app/models/granite-4.1-3b/)3.4B params · ibm-granite                                                       | **3.4** / 16.0 GB    | Q4Fits      |
| [granite-4.0-micro](https://whatcanirunai.vercel.app/models/granite-4.0-micro/)3.4B params · ibm-granite                                                 | **3.4** / 16.0 GB    | Q4Fits      |
| [granite-3.1-3b-a800m-instruct](https://whatcanirunai.vercel.app/models/granite-3.1-3b-a800m-instruct/)3.3B params · ibm-granite                         | **3.3** / 16.0 GB    | Q4Fits      |
| [Falcon3-3B-Instruct](https://whatcanirunai.vercel.app/models/falcon3-3b-instruct/)3.2B params · tiiuae                                                  | **3.3** / 16.0 GB    | Q4Fits      |
| [Llama-3.2-3B-Instruct](https://whatcanirunai.vercel.app/models/llama-3.2-3b-instruct/)3.2B params · meta-llama                                          | **3.2** / 16.0 GB    | Q4Fits      |
| [Llama-3.2-3B](https://whatcanirunai.vercel.app/models/llama-3.2-3b/)3.2B params · meta-llama                                                            | **3.2** / 16.0 GB    | Q4Fits      |
| [Hermes-3-Llama-3.2-3B](https://whatcanirunai.vercel.app/models/hermes-3-llama-3.2-3b/)3.2B params · NousResearch                                        | **3.2** / 16.0 GB    | Q4Fits      |
| [DeepHermes-3-Llama-3-3B-Preview](https://whatcanirunai.vercel.app/models/deephermes-3-llama-3-3b-preview/)3.2B params · NousResearch                    | **3.2** / 16.0 GB    | Q4Fits      |
| [AI21-Jamba-Reasoning-3B](https://whatcanirunai.vercel.app/models/ai21-jamba-reasoning-3b/)3.2B params · ai21labs                                        | **3.2** / 16.0 GB    | Q4Fits      |
| [granite-4.0-h-micro](https://whatcanirunai.vercel.app/models/granite-4.0-h-micro/)3.2B params · ibm-granite                                             | **3.2** / 16.0 GB    | Q4Fits      |
| [Falcon-H1-3B-Instruct](https://whatcanirunai.vercel.app/models/falcon-h1-3b-instruct/)3.1B params · tiiuae                                              | **3.2** / 16.0 GB    | Q4Fits      |
| [d1-3B](https://whatcanirunai.vercel.app/models/d1-3b/)3.1B params · LiquidAI                                                                            | **3.2** / 16.0 GB    | Q4Fits      |
| [LFM2.5-VL-3B](https://whatcanirunai.vercel.app/models/lfm2.5-vl-3b/)3.1B params · LiquidAI                                                              | **3.2** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-3B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-3b-instruct/)3.1B params · Qwen                                                    | **3.2** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-Coder-3B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-coder-3b-instruct/)3.1B params · Qwen                                        | **3.2** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-3B](https://whatcanirunai.vercel.app/models/qwen2.5-3b/)3.1B params · Qwen                                                                      | **3.2** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-Coder-3B](https://whatcanirunai.vercel.app/models/qwen2.5-coder-3b/)3.1B params · Qwen                                                          | **3.2** / 16.0 GB    | Q4Fits      |
| [SmolLM3-3B](https://whatcanirunai.vercel.app/models/smollm3-3b/)3.1B params · HuggingFaceTB                                                             | **3.1** / 16.0 GB    | Q4Fits      |
| [AI21-Jamba2-3B](https://whatcanirunai.vercel.app/models/ai21-jamba2-3b/)3.0B params · ai21labs                                                          | **3.1** / 16.0 GB    | Q4Fits      |
| [granite-swash-3b-a600m](https://whatcanirunai.vercel.app/models/granite-swash-3b-a600m/)3.0B params · ibm-granite                                       | **3.1** / 16.0 GB    | Q4Fits      |
| [granite-vision-3.2-2b](https://whatcanirunai.vercel.app/models/granite-vision-3.2-2b/)3.0B params · ibm-granite                                         | **3.1** / 16.0 GB    | Q4Fits      |
| [granite-vision-3.1-2b-preview](https://whatcanirunai.vercel.app/models/granite-vision-3.1-2b-preview/)3.0B params · ibm-granite                         | **3.1** / 16.0 GB    | Q4Fits      |
| [granite-vision-3.3-2b-chart2csv-preview](https://whatcanirunai.vercel.app/models/granite-vision-3.3-2b-chart2csv-preview/)3.0B params · ibm-granite     | **3.1** / 16.0 GB    | Q4Fits      |
| [LFM2.5-2.6B](https://whatcanirunai.vercel.app/models/lfm2.5-2.6b/)2.7B params · LiquidAI                                                                | **2.9** / 16.0 GB    | Q4Fits      |
| [Zamba2-2.7B](https://whatcanirunai.vercel.app/models/zamba2-2.7b/)2.7B params · Zyphra                                                                  | **2.9** / 16.0 GB    | Q4Fits      |
| [Zamba2-2.7B-instruct](https://whatcanirunai.vercel.app/models/zamba2-2.7b-instruct/)2.7B params · Zyphra                                                | **2.9** / 16.0 GB    | Q4Fits      |
| [granite-3.0-2b-instruct](https://whatcanirunai.vercel.app/models/granite-3.0-2b-instruct/)2.6B params · ibm-granite                                     | **2.8** / 16.0 GB    | Q4Fits      |
| [gemma-2-2b-it](https://whatcanirunai.vercel.app/models/gemma-2-2b-it/)2.6B params · google                                                              | **2.8** / 16.0 GB    | Q4Fits      |
| [gemma-2-2b](https://whatcanirunai.vercel.app/models/gemma-2-2b/)2.6B params · google                                                                    | **2.8** / 16.0 GB    | Q4Fits      |
| [EuroMoE-2.6B-A0.6B-Instruct-Preview](https://whatcanirunai.vercel.app/models/euromoe-2.6b-a0.6b-instruct-preview/)2.6B params · utter-project           | **2.8** / 16.0 GB    | Q4Fits      |
| [Motif-2.6B](https://whatcanirunai.vercel.app/models/motif-2.6b/)2.6B params · Motif-Technologies                                                        | **2.8** / 16.0 GB    | Q4Fits      |
| [LFM2-2.6B](https://whatcanirunai.vercel.app/models/lfm2-2.6b/)2.6B params · LiquidAI                                                                    | **2.8** / 16.0 GB    | Q4Fits      |
| [LFM2-2.6B-Exp](https://whatcanirunai.vercel.app/models/lfm2-2.6b-exp/)2.6B params · LiquidAI                                                            | **2.8** / 16.0 GB    | Q4Fits      |
| [LFM2-2.6B-Transcript](https://whatcanirunai.vercel.app/models/lfm2-2.6b-transcript/)2.6B params · LiquidAI                                              | **2.8** / 16.0 GB    | Q4Fits      |
| [granite-3.3-2b-instruct](https://whatcanirunai.vercel.app/models/granite-3.3-2b-instruct/)2.5B params · ibm-granite                                     | **2.8** / 16.0 GB    | Q4Fits      |
| [granite-3.1-2b-instruct](https://whatcanirunai.vercel.app/models/granite-3.1-2b-instruct/)2.5B params · ibm-granite                                     | **2.8** / 16.0 GB    | Q4Fits      |
| [granite-3.2-2b-instruct](https://whatcanirunai.vercel.app/models/granite-3.2-2b-instruct/)2.5B params · ibm-granite                                     | **2.8** / 16.0 GB    | Q4Fits      |
| [MiniCPM5-2B](https://whatcanirunai.vercel.app/models/minicpm5-2b/)2.5B params · openbmb                                                                 | **2.8** / 16.0 GB    | Q4Fits      |
| [MiniCPM5-2B-SFT](https://whatcanirunai.vercel.app/models/minicpm5-2b-sft/)2.5B params · openbmb                                                         | **2.8** / 16.0 GB    | Q4Fits      |
| [MiniCPM5-2B-Midtrain](https://whatcanirunai.vercel.app/models/minicpm5-2b-midtrain/)2.5B params · openbmb                                               | **2.8** / 16.0 GB    | Q4Fits      |
| [sarvam-1-v0.5](https://whatcanirunai.vercel.app/models/sarvam-1-v0.5/)2.5B params · sarvamai                                                            | **2.7** / 16.0 GB    | Q4Fits      |
| [North-Micro-Vision-Instruct](https://whatcanirunai.vercel.app/models/north-micro-vision-instruct/)2.5B params · CohereLabs                              | **2.7** / 16.0 GB    | Q4Fits      |
| [UI-TARS-2B-SFT](https://whatcanirunai.vercel.app/models/ui-tars-2b-sft/)2.4B params · ByteDance-Seed                                                    | **2.7** / 16.0 GB    | Q4Fits      |
| [WeVisOne-VL-2B](https://whatcanirunai.vercel.app/models/wevisone-vl-2b/)2.4B params · tencent                                                           | **2.7** / 16.0 GB    | Q4Fits      |
| [UI-Venus-1.5-2B](https://whatcanirunai.vercel.app/models/ui-venus-1.5-2b/)2.4B params · inclusionAI                                                     | **2.7** / 16.0 GB    | Q4Fits      |
| [bitnet-b1.58-2B-4T-bf16](https://whatcanirunai.vercel.app/models/bitnet-b1.58-2b-4t-bf16/)2.4B params · microsoft                                       | **2.7** / 16.0 GB    | Q4Fits      |
| [EXAONE-3.5-2.4B-Instruct](https://whatcanirunai.vercel.app/models/exaone-3.5-2.4b-instruct/)2.4B params · LGAI-EXAONE                                   | **2.7** / 16.0 GB    | Q4Fits      |
| [EXAONE-Deep-2.4B](https://whatcanirunai.vercel.app/models/exaone-deep-2.4b/)2.4B params · LGAI-EXAONE                                                   | **2.7** / 16.0 GB    | Q4Fits      |
| [kanana-1.5-2.1b-instruct-2505](https://whatcanirunai.vercel.app/models/kanana-1.5-2.1b-instruct-2505/)2.3B params · kakaocorp                           | **2.6** / 16.0 GB    | Q4Fits      |
| [Qwen3.5-2B](https://whatcanirunai.vercel.app/models/qwen3.5-2b/)2.3B params · Qwen                                                                      | **2.6** / 16.0 GB    | Q4Fits      |
| [salamandra-2b](https://whatcanirunai.vercel.app/models/salamandra-2b/)2.3B params · BSC-LT                                                              | **2.6** / 16.0 GB    | Q4Fits      |
| [salamandra-2b-instruct](https://whatcanirunai.vercel.app/models/salamandra-2b-instruct/)2.3B params · BSC-LT                                            | **2.6** / 16.0 GB    | Q4Fits      |
| [SmolVLM2-2.2B-Instruct](https://whatcanirunai.vercel.app/models/smolvlm2-2.2b-instruct/)2.2B params · HuggingFaceTB                                     | **2.6** / 16.0 GB    | Q4Fits      |
| [SmolVLM-Base](https://whatcanirunai.vercel.app/models/smolvlm-base/)2.2B params · HuggingFaceTB                                                         | **2.6** / 16.0 GB    | Q4Fits      |
| [Qwen2-VL-2B-Instruct](https://whatcanirunai.vercel.app/models/qwen2-vl-2b-instruct/)2.2B params · Qwen                                                  | **2.5** / 16.0 GB    | Q4Fits      |
| [LFM3-Omni-2B](https://whatcanirunai.vercel.app/models/lfm3-omni-2b/)2.2B params · LiquidAI                                                              | **2.5** / 16.0 GB    | Q4Fits      |
| [granite-swash-2b](https://whatcanirunai.vercel.app/models/granite-swash-2b/)2.1B params · ibm-granite                                                   | **2.5** / 16.0 GB    | Q4Fits      |
| [Qwen3-VL-2B-Instruct](https://whatcanirunai.vercel.app/models/qwen3-vl-2b-instruct/)2.1B params · Qwen                                                  | **2.5** / 16.0 GB    | Q4Fits      |
| [kanana-nano-2.1b-instruct](https://whatcanirunai.vercel.app/models/kanana-nano-2.1b-instruct/)2.1B params · kakaocorp                                   | **2.5** / 16.0 GB    | Q4Fits      |
| [Hy-MT2-1.8B](https://whatcanirunai.vercel.app/models/hy-mt2-1.8b/)2.0B params · tencent                                                                 | **2.4** / 16.0 GB    | Q4Fits      |
| [Qwen3-1.7B](https://whatcanirunai.vercel.app/models/qwen3-1.7b/)2.0B params · Qwen                                                                      | **2.4** / 16.0 GB    | Q4Fits      |
| [Youtu-LLM-2B](https://whatcanirunai.vercel.app/models/youtu-llm-2b/)2.0B params · tencent                                                               | **2.4** / 16.0 GB    | Q4Fits      |
| [LFM3-VL-2B](https://whatcanirunai.vercel.app/models/lfm3-vl-2b/)1.9B params · LiquidAI                                                                  | **2.3** / 16.0 GB    | Q4Fits      |
| [d1-2B](https://whatcanirunai.vercel.app/models/d1-2b/)1.9B params · LiquidAI                                                                            | **2.3** / 16.0 GB    | Q4Fits      |
| [FastVLM-1.5B](https://whatcanirunai.vercel.app/models/fastvlm-1.5b/)1.9B params · apple                                                                 | **2.3** / 16.0 GB    | Q4Fits      |
| [internlm2\_5-1\_8b-chat](https://whatcanirunai.vercel.app/models/internlm2-5-1-8b-chat/)1.9B params · internlm                                          | **2.3** / 16.0 GB    | Q4Fits      |
| [DeepSeek-R1-Distill-Qwen-1.5B](https://whatcanirunai.vercel.app/models/deepseek-r1-distill-qwen-1.5b/)1.8B params · deepseek-ai                         | **2.2** / 16.0 GB    | Q4Fits      |
| [LFM3-1.7B](https://whatcanirunai.vercel.app/models/lfm3-1.7b/)1.7B params · LiquidAI                                                                    | **2.2** / 16.0 GB    | Q4Fits      |
| [Qwen3-1.7B-Base](https://whatcanirunai.vercel.app/models/qwen3-1.7b-base/)1.7B params · Qwen                                                            | **2.2** / 16.0 GB    | Q4Fits      |
| [SmolLM2-1.7B](https://whatcanirunai.vercel.app/models/smollm2-1.7b/)1.7B params · HuggingFaceTB                                                         | **2.2** / 16.0 GB    | Q4Fits      |
| [SmolLM-1.7B](https://whatcanirunai.vercel.app/models/smollm-1.7b/)1.7B params · HuggingFaceTB                                                           | **2.2** / 16.0 GB    | Q4Fits      |
| [Spark-X2.6-1.7B](https://whatcanirunai.vercel.app/models/spark-x2.6-1.7b/)1.7B params · XHToken                                                         | **2.2** / 16.0 GB    | Q4Fits      |
| [Falcon3-1B-Instruct](https://whatcanirunai.vercel.app/models/falcon3-1b-instruct/)1.7B params · tiiuae                                                  | **2.2** / 16.0 GB    | Q4Fits      |
| [EuroLLM-1.7B-Instruct](https://whatcanirunai.vercel.app/models/eurollm-1.7b-instruct/)1.7B params · utter-project                                       | **2.2** / 16.0 GB    | Q4Fits      |
| [granite-4.0-1b](https://whatcanirunai.vercel.app/models/granite-4.0-1b/)1.6B params · ibm-granite                                                       | **2.1** / 16.0 GB    | Q4Fits      |
| [LFM2.5-VL-1.6B](https://whatcanirunai.vercel.app/models/lfm2.5-vl-1.6b/)1.6B params · LiquidAI                                                          | **2.1** / 16.0 GB    | Q4Fits      |
| [glm-edge-1.5b-chat](https://whatcanirunai.vercel.app/models/glm-edge-1.5b-chat/)1.6B params · zai-org                                                   | **2.1** / 16.0 GB    | Q4Fits      |
| [LFM2-VL-1.6B](https://whatcanirunai.vercel.app/models/lfm2-vl-1.6b/)1.6B params · LiquidAI                                                              | **2.1** / 16.0 GB    | Q4Fits      |
| [Falcon-H1-1.5B-Deep-Instruct](https://whatcanirunai.vercel.app/models/falcon-h1-1.5b-deep-instruct/)1.6B params · tiiuae                                | **2.1** / 16.0 GB    | Q4Fits      |
| [Falcon-H1-1.5B-Instruct](https://whatcanirunai.vercel.app/models/falcon-h1-1.5b-instruct/)1.6B params · tiiuae                                          | **2.1** / 16.0 GB    | Q4Fits      |
| [MiniCPM-V-4.7-1B](https://whatcanirunai.vercel.app/models/minicpm-v-4.7-1b/)1.6B params · openbmb                                                       | **2.1** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-1.5B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-1.5b-instruct/)1.5B params · Qwen                                                | **2.1** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-1.5B](https://whatcanirunai.vercel.app/models/qwen2.5-1.5b/)1.5B params · Qwen                                                                  | **2.1** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-Coder-1.5B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-coder-1.5b-instruct/)1.5B params · Qwen                                    | **2.1** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-Coder-1.5B](https://whatcanirunai.vercel.app/models/qwen2.5-coder-1.5b/)1.5B params · Qwen                                                      | **2.1** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-Math-1.5B](https://whatcanirunai.vercel.app/models/qwen2.5-math-1.5b/)1.5B params · Qwen                                                        | **2.1** / 16.0 GB    | Q4Fits      |
| [Qwen2-1.5B-Instruct](https://whatcanirunai.vercel.app/models/qwen2-1.5b-instruct/)1.5B params · Qwen                                                    | **2.1** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-Math-1.5B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-math-1.5b-instruct/)1.5B params · Qwen                                      | **2.1** / 16.0 GB    | Q4Fits      |
| [ReaderLM-v2](https://whatcanirunai.vercel.app/models/readerlm-v2/)1.5B params · jinaai                                                                  | **2.1** / 16.0 GB    | Q4Fits      |
| [reader-lm-1.5b](https://whatcanirunai.vercel.app/models/reader-lm-1.5b/)1.5B params · jinaai                                                            | **2.1** / 16.0 GB    | Q4Fits      |
| [Hymba-1.5B-Instruct](https://whatcanirunai.vercel.app/models/hymba-1.5b-instruct/)1.5B params · nvidia                                                  | **2.1** / 16.0 GB    | Q4Fits      |
| [OLMo-2-0425-1B](https://whatcanirunai.vercel.app/models/olmo-2-0425-1b/)1.5B params · allenai                                                           | **2.0** / 16.0 GB    | Q4Fits      |
| [OLMo-2-0425-1B-Instruct](https://whatcanirunai.vercel.app/models/olmo-2-0425-1b-instruct/)1.5B params · allenai                                         | **2.0** / 16.0 GB    | Q4Fits      |
| [Yi-Coder-1.5B-Chat](https://whatcanirunai.vercel.app/models/yi-coder-1.5b-chat/)1.5B params · 01-ai                                                     | **2.0** / 16.0 GB    | Q4Fits      |
| [Bolmo-1B](https://whatcanirunai.vercel.app/models/bolmo-1b/)1.5B params · allenai                                                                       | **2.0** / 16.0 GB    | Q4Fits      |
| [granite-4.0-h-1b](https://whatcanirunai.vercel.app/models/granite-4.0-h-1b/)1.5B params · ibm-granite                                                   | **2.0** / 16.0 GB    | Q4Fits      |
| [granite-3.1-1b-a400m-instruct](https://whatcanirunai.vercel.app/models/granite-3.1-1b-a400m-instruct/)1.3B params · ibm-granite                         | **1.9** / 16.0 GB    | Q4Fits      |
| [granite-3.0-1b-a400m-instruct](https://whatcanirunai.vercel.app/models/granite-3.0-1b-a400m-instruct/)1.3B params · ibm-granite                         | **1.9** / 16.0 GB    | Q4Fits      |
| [MiniCPM-V-4.6](https://whatcanirunai.vercel.app/models/minicpm-v-4.6/)1.3B params · openbmb                                                             | **1.9** / 16.0 GB    | Q4Fits      |
| [MiniCPM-V-4.6-Thinking](https://whatcanirunai.vercel.app/models/minicpm-v-4.6-thinking/)1.3B params · openbmb                                           | **1.9** / 16.0 GB    | Q4Fits      |
| [kanana-2-1.3b-instruct](https://whatcanirunai.vercel.app/models/kanana-2-1.3b-instruct/)1.3B params · kakaocorp                                         | **1.9** / 16.0 GB    | Q4Fits      |
| [OLMo-1B-0724-hf](https://whatcanirunai.vercel.app/models/olmo-1b-0724-hf/)1.3B params · allenai                                                         | **1.9** / 16.0 GB    | Q4Fits      |
| [EXAONE-4.0-1.2B](https://whatcanirunai.vercel.app/models/exaone-4.0-1.2b/)1.3B params · LGAI-EXAONE                                                     | **1.9** / 16.0 GB    | Q4Fits      |
| [Llama-3.2-1B-Instruct](https://whatcanirunai.vercel.app/models/llama-3.2-1b-instruct/)1.2B params · meta-llama                                          | **1.9** / 16.0 GB    | Q4Fits      |
| [Llama-3.2-1B](https://whatcanirunai.vercel.app/models/llama-3.2-1b/)1.2B params · meta-llama                                                            | **1.9** / 16.0 GB    | Q4Fits      |
| [Llama-3.2-1B](https://whatcanirunai.vercel.app/models/llama-3.2-1b-nousresearch/)1.2B params · NousResearch                                             | **1.9** / 16.0 GB    | Q4Fits      |
| [Zamba2-1.2B-instruct](https://whatcanirunai.vercel.app/models/zamba2-1.2b-instruct/)1.2B params · Zyphra                                                | **1.8** / 16.0 GB    | Q4Fits      |
| [HRM-Text-1B](https://whatcanirunai.vercel.app/models/hrm-text-1b/)1.2B params · sapientinc                                                              | **1.8** / 16.0 GB    | Q4Fits      |
| [AMD-OLMo-1B](https://whatcanirunai.vercel.app/models/amd-olmo-1b/)1.2B params · amd                                                                     | **1.8** / 16.0 GB    | Q4Fits      |
| [LFM2.5-1.2B-Instruct](https://whatcanirunai.vercel.app/models/lfm2.5-1.2b-instruct/)1.2B params · LiquidAI                                              | **1.8** / 16.0 GB    | Q4Fits      |
| [LFM2-1.2B](https://whatcanirunai.vercel.app/models/lfm2-1.2b/)1.2B params · LiquidAI                                                                    | **1.8** / 16.0 GB    | Q4Fits      |
| [LFM2.5-1.2B-Thinking](https://whatcanirunai.vercel.app/models/lfm2.5-1.2b-thinking/)1.2B params · LiquidAI                                              | **1.8** / 16.0 GB    | Q4Fits      |
| [LFM2.5-1.2B-JP-202606](https://whatcanirunai.vercel.app/models/lfm2.5-1.2b-jp-202606/)1.2B params · LiquidAI                                            | **1.8** / 16.0 GB    | Q4Fits      |
| [MiniCPM5-1B](https://whatcanirunai.vercel.app/models/minicpm5-1b/)1.1B params · openbmb                                                                 | **1.8** / 16.0 GB    | Q4Fits      |
| [MiniCPM5-1B-SFT](https://whatcanirunai.vercel.app/models/minicpm5-1b-sft/)1.1B params · openbmb                                                         | **1.8** / 16.0 GB    | Q4Fits      |
| [gemma-3-1b-it](https://whatcanirunai.vercel.app/models/gemma-3-1b-it/)1.0B params · google                                                              | **1.7** / 16.0 GB    | Q4Fits      |
| [gemma-3-1b-pt](https://whatcanirunai.vercel.app/models/gemma-3-1b-pt/)1.0B params · google                                                              | **1.7** / 16.0 GB    | Q4Fits      |
| [Qwen3.5-0.8B](https://whatcanirunai.vercel.app/models/qwen3.5-0.8b/)0.9B params · Qwen                                                                  | **1.6** / 16.0 GB    | Q4Fits      |
| [Falcon-E-3B-Instruct](https://whatcanirunai.vercel.app/models/falcon-e-3b-instruct/)0.9B params · tiiuae                                                | **1.6** / 16.0 GB    | Q4Fits      |
| [bitnet-b1.58-2B-4T](https://whatcanirunai.vercel.app/models/bitnet-b1.58-2b-4t/)0.8B params · microsoft                                                 | **1.6** / 16.0 GB    | Q4Fits      |
| [FastVLM-0.5B](https://whatcanirunai.vercel.app/models/fastvlm-0.5b/)0.8B params · apple                                                                 | **1.5** / 16.0 GB    | Q4Fits      |
| [Qwen3-0.6B](https://whatcanirunai.vercel.app/models/qwen3-0.6b/)0.8B params · Qwen                                                                      | **1.5** / 16.0 GB    | Q4Fits      |
| [LFM2-700M](https://whatcanirunai.vercel.app/models/lfm2-700m/)0.7B params · LiquidAI                                                                    | **1.5** / 16.0 GB    | Q4Fits      |
| [Falcon-H1-Tiny-R-0.6B](https://whatcanirunai.vercel.app/models/falcon-h1-tiny-r-0.6b/)0.6B params · tiiuae                                              | **1.4** / 16.0 GB    | Q4Fits      |
| [Qwen3-0.6B-Base](https://whatcanirunai.vercel.app/models/qwen3-0.6b-base/)0.6B params · Qwen                                                            | **1.4** / 16.0 GB    | Q4Fits      |
| [d1-omni-600M](https://whatcanirunai.vercel.app/models/d1-omni-600m/)0.6B params · LiquidAI                                                              | **1.4** / 16.0 GB    | Q4Fits      |
| [HyperCLOVAX-SEED-Text-Instruct-0.5B](https://whatcanirunai.vercel.app/models/hyperclovax-seed-text-instruct-0.5b/)0.6B params · naver-hyperclovax       | **1.4** / 16.0 GB    | Q4Fits      |
| [Falcon-H1-0.5B-Instruct](https://whatcanirunai.vercel.app/models/falcon-h1-0.5b-instruct/)0.5B params · tiiuae                                          | **1.4** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-0.5B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-0.5b-instruct/)0.5B params · Qwen                                                | **1.3** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-0.5B](https://whatcanirunai.vercel.app/models/qwen2.5-0.5b/)0.5B params · Qwen                                                                  | **1.3** / 16.0 GB    | Q4Fits      |
| [Qwen2-0.5B-Instruct](https://whatcanirunai.vercel.app/models/qwen2-0.5b-instruct/)0.5B params · Qwen                                                    | **1.3** / 16.0 GB    | Q4Fits      |
| [Qwen2.5-Coder-0.5B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-coder-0.5b-instruct/)0.5B params · Qwen                                    | **1.3** / 16.0 GB    | Q4Fits      |
| [LFM2-VL-450M](https://whatcanirunai.vercel.app/models/lfm2-vl-450m/)0.5B params · LiquidAI                                                              | **1.3** / 16.0 GB    | Q4Fits      |
| [LFM2.5-VL-450M](https://whatcanirunai.vercel.app/models/lfm2.5-vl-450m/)0.4B params · LiquidAI                                                          | **1.3** / 16.0 GB    | Q4Fits      |
| [Apertus-v1.1-0.5B](https://whatcanirunai.vercel.app/models/apertus-v1.1-0.5b/)0.4B params · swiss-ai                                                    | **1.3** / 16.0 GB    | Q4Fits      |
| [MiniCPM4-0.5B](https://whatcanirunai.vercel.app/models/minicpm4-0.5b/)0.4B params · openbmb                                                             | **1.3** / 16.0 GB    | Q4Fits      |
| [circuit-sparsity](https://whatcanirunai.vercel.app/models/circuit-sparsity/)0.4B params · openai                                                        | **1.3** / 16.0 GB    | Q4Fits      |
| [SmolLM2-360M](https://whatcanirunai.vercel.app/models/smollm2-360m/)0.4B params · HuggingFaceTB                                                         | **1.3** / 16.0 GB    | Q4Fits      |
| [SmolLM-360M](https://whatcanirunai.vercel.app/models/smollm-360m/)0.4B params · HuggingFaceTB                                                           | **1.3** / 16.0 GB    | Q4Fits      |
| [ERNIE-4.5-0.3B-PT](https://whatcanirunai.vercel.app/models/ernie-4.5-0.3b-pt/)0.4B params · baidu                                                       | **1.3** / 16.0 GB    | Q4Fits      |
| [LFM2.5-350M](https://whatcanirunai.vercel.app/models/lfm2.5-350m/)0.4B params · LiquidAI                                                                | **1.2** / 16.0 GB    | Q4Fits      |
| [LFM2-350M](https://whatcanirunai.vercel.app/models/lfm2-350m/)0.4B params · LiquidAI                                                                    | **1.2** / 16.0 GB    | Q4Fits      |
| [granite-4.0-350m](https://whatcanirunai.vercel.app/models/granite-4.0-350m/)0.4B params · ibm-granite                                                   | **1.2** / 16.0 GB    | Q4Fits      |
| [granite-4.0-h-350m](https://whatcanirunai.vercel.app/models/granite-4.0-h-350m/)0.3B params · ibm-granite                                               | **1.2** / 16.0 GB    | Q4Fits      |

Estimates use [our formula](https://whatcanirunai.vercel.app/method/) (weights × 1.15 + 1 GB, about 4k context). Past 4k we add the KV cache from each model’s published config.json; models marked “cache not modeled” use an attention design we can’t size yet, so leave extra headroom for them. This checks memory fit only, not speed. Share your result: the page URL updates as you type.

---
Agent guide: https://whatcanirunai.vercel.app/llms.txt · JSON API: https://whatcanirunai.vercel.app/developers/
