# All models | What Can I Run AI?

> Open models and VRAM needs

Source: https://whatcanirunai.vercel.app/models/

# Models and the memory they need

656 open models, sorted by size. Estimates at \~4k context.

## Just added

* [LongCat-2.5](https://whatcanirunai.vercel.app/models/longcat-2.5/)\~1241.8 GB at Q4
* [NorthCUA-Pro](https://whatcanirunai.vercel.app/models/northcua-pro/)\~277.6 GB at Q4
* [ERNIE-5.5-Flash-Base](https://whatcanirunai.vercel.app/models/ernie-5.5-flash-base/)\~200.6 GB at Q4
* [Apex-35B-V1.0](https://whatcanirunai.vercel.app/models/apex-35b-v1.0/)\~26.1 GB at Q4
* [NorthCUA-Mini](https://whatcanirunai.vercel.app/models/northcua-mini/)\~25.5 GB at Q4
* [Clover-35B-A3B-Preview](https://whatcanirunai.vercel.app/models/clover-35b-a3b-preview/)\~25.2 GB at Q4
* [Arete-27B](https://whatcanirunai.vercel.app/models/arete-27b/)\~20.1 GB at Q4
* [Groot-19B-A3B-261023](https://whatcanirunai.vercel.app/models/groot-19b-a3b-261023/)\~14.5 GB at Q4

## All models

SearchFits in (GB, Q4) MoE only Context table

| Model                                                                                                     | Params  | Q4\_K\_M  | Q8\_0     | FP16      |
| --------------------------------------------------------------------------------------------------------- | ------- | --------- | --------- | --------- |
| [granite-4.0-h-350m](https://whatcanirunai.vercel.app/models/granite-4.0-h-350m/)ibm-granite                                              | 0.3B    | 1.2 GB    | 1.4 GB    | 1.8 GB    |
| [granite-4.0-350m](https://whatcanirunai.vercel.app/models/granite-4.0-350m/)ibm-granite                                                  | 0.4B    | 1.2 GB    | 1.4 GB    | 1.8 GB    |
| [LFM2.5-350M](https://whatcanirunai.vercel.app/models/lfm2.5-350m/)LiquidAI                                                               | 0.4B    | 1.2 GB    | 1.4 GB    | 1.8 GB    |
| [LFM2-350M](https://whatcanirunai.vercel.app/models/lfm2-350m/)LiquidAI                                                                   | 0.4B    | 1.2 GB    | 1.4 GB    | 1.8 GB    |
| [ERNIE-4.5-0.3B-PT](https://whatcanirunai.vercel.app/models/ernie-4.5-0.3b-pt/)baidu                                                      | 0.4B    | 1.3 GB    | 1.4 GB    | 1.8 GB    |
| [SmolLM2-360M](https://whatcanirunai.vercel.app/models/smollm2-360m/)HuggingFaceTB                                                        | 0.4B    | 1.3 GB    | 1.4 GB    | 1.8 GB    |
| [SmolLM-360M](https://whatcanirunai.vercel.app/models/smollm-360m/)HuggingFaceTB                                                          | 0.4B    | 1.3 GB    | 1.4 GB    | 1.8 GB    |
| [circuit-sparsity](https://whatcanirunai.vercel.app/models/circuit-sparsity/)openai                                                       | 0.4B    | 1.3 GB    | 1.5 GB    | 2.0 GB    |
| [MiniCPM4-0.5B](https://whatcanirunai.vercel.app/models/minicpm4-0.5b/)openbmb                                                            | 0.4B    | 1.3 GB    | 1.5 GB    | 2.0 GB    |
| [Apertus-v1.1-0.5B](https://whatcanirunai.vercel.app/models/apertus-v1.1-0.5b/)swiss-ai                                                   | 0.4B    | 1.3 GB    | 1.5 GB    | 2.0 GB    |
| [LFM2.5-VL-450M](https://whatcanirunai.vercel.app/models/lfm2.5-vl-450m/)LiquidAI                                                         | 0.4B    | 1.3 GB    | 1.5 GB    | 2.0 GB    |
| [LFM2-VL-450M](https://whatcanirunai.vercel.app/models/lfm2-vl-450m/)LiquidAI                                                             | 0.5B    | 1.3 GB    | 1.6 GB    | 2.0 GB    |
| [Qwen2.5-0.5B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-0.5b-instruct/)Qwen                                               | 0.5B    | 1.3 GB    | 1.6 GB    | 2.1 GB    |
| [Qwen2.5-0.5B](https://whatcanirunai.vercel.app/models/qwen2.5-0.5b/)Qwen                                                                 | 0.5B    | 1.3 GB    | 1.6 GB    | 2.1 GB    |
| [Qwen2-0.5B-Instruct](https://whatcanirunai.vercel.app/models/qwen2-0.5b-instruct/)Qwen                                                   | 0.5B    | 1.3 GB    | 1.6 GB    | 2.1 GB    |
| [Qwen2.5-Coder-0.5B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-coder-0.5b-instruct/)Qwen                                   | 0.5B    | 1.3 GB    | 1.6 GB    | 2.1 GB    |
| [Falcon-H1-0.5B-Instruct](https://whatcanirunai.vercel.app/models/falcon-h1-0.5b-instruct/)tiiuae                                         | 0.5B    | 1.4 GB    | 1.6 GB    | 2.2 GB    |
| [HyperCLOVAX-SEED-Text-Instruct-0.5B](https://whatcanirunai.vercel.app/models/hyperclovax-seed-text-instruct-0.5b/)naver-hyperclovax      | 0.6B    | 1.4 GB    | 1.7 GB    | 2.3 GB    |
| [d1-omni-600M](https://whatcanirunai.vercel.app/models/d1-omni-600m/)LiquidAI                                                             | 0.6B    | 1.4 GB    | 1.7 GB    | 2.4 GB    |
| [Qwen3-0.6B-Base](https://whatcanirunai.vercel.app/models/qwen3-0.6b-base/)Qwen                                                           | 0.6B    | 1.4 GB    | 1.7 GB    | 2.4 GB    |
| [Falcon-H1-Tiny-R-0.6B](https://whatcanirunai.vercel.app/models/falcon-h1-tiny-r-0.6b/)tiiuae                                             | 0.6B    | 1.4 GB    | 1.8 GB    | 2.4 GB    |
| [LFM2-700M](https://whatcanirunai.vercel.app/models/lfm2-700m/)LiquidAI                                                                   | 0.7B    | 1.5 GB    | 1.9 GB    | 2.7 GB    |
| [Qwen3-0.6B](https://whatcanirunai.vercel.app/models/qwen3-0.6b/)Qwen                                                                     | 0.8B    | 1.5 GB    | 1.9 GB    | 2.7 GB    |
| [FastVLM-0.5B](https://whatcanirunai.vercel.app/models/fastvlm-0.5b/)apple                                                                | 0.8B    | 1.5 GB    | 1.9 GB    | 2.7 GB    |
| [bitnet-b1.58-2B-4T](https://whatcanirunai.vercel.app/models/bitnet-b1.58-2b-4t/)microsoft                                                | 0.8B    | 1.6 GB    | 2.0 GB    | 3.0 GB    |
| [Falcon-E-3B-Instruct](https://whatcanirunai.vercel.app/models/falcon-e-3b-instruct/)tiiuae                                               | 0.9B    | 1.6 GB    | 2.1 GB    | 3.0 GB    |
| [Qwen3.5-0.8B](https://whatcanirunai.vercel.app/models/qwen3.5-0.8b/)Qwen                                                                 | 0.9B    | 1.6 GB    | 2.1 GB    | 3.0 GB    |
| [gemma-3-1b-it](https://whatcanirunai.vercel.app/models/gemma-3-1b-it/)google                                                             | 1.0B    | 1.7 GB    | 2.2 GB    | 3.3 GB    |
| [gemma-3-1b-pt](https://whatcanirunai.vercel.app/models/gemma-3-1b-pt/)google                                                             | 1.0B    | 1.7 GB    | 2.2 GB    | 3.3 GB    |
| [MiniCPM5-1B](https://whatcanirunai.vercel.app/models/minicpm5-1b/)openbmb                                                                | 1.1B    | 1.8 GB    | 2.3 GB    | 3.5 GB    |
| [MiniCPM5-1B-SFT](https://whatcanirunai.vercel.app/models/minicpm5-1b-sft/)openbmb                                                        | 1.1B    | 1.8 GB    | 2.3 GB    | 3.5 GB    |
| [LFM2.5-1.2B-Instruct](https://whatcanirunai.vercel.app/models/lfm2.5-1.2b-instruct/)LiquidAI                                             | 1.2B    | 1.8 GB    | 2.4 GB    | 3.7 GB    |
| [LFM2-1.2B](https://whatcanirunai.vercel.app/models/lfm2-1.2b/)LiquidAI                                                                   | 1.2B    | 1.8 GB    | 2.4 GB    | 3.7 GB    |
| [LFM2.5-1.2B-Thinking](https://whatcanirunai.vercel.app/models/lfm2.5-1.2b-thinking/)LiquidAI                                             | 1.2B    | 1.8 GB    | 2.4 GB    | 3.7 GB    |
| [LFM2.5-1.2B-JP-202606](https://whatcanirunai.vercel.app/models/lfm2.5-1.2b-jp-202606/)LiquidAI                                           | 1.2B    | 1.8 GB    | 2.4 GB    | 3.7 GB    |
| [AMD-OLMo-1B](https://whatcanirunai.vercel.app/models/amd-olmo-1b/)amd                                                                    | 1.2B    | 1.8 GB    | 2.4 GB    | 3.7 GB    |
| [HRM-Text-1B](https://whatcanirunai.vercel.app/models/hrm-text-1b/)sapientinc                                                             | 1.2B    | 1.8 GB    | 2.4 GB    | 3.7 GB    |
| [Zamba2-1.2B-instruct](https://whatcanirunai.vercel.app/models/zamba2-1.2b-instruct/)Zyphra                                               | 1.2B    | 1.8 GB    | 2.5 GB    | 3.8 GB    |
| [Llama-3.2-1B-Instruct](https://whatcanirunai.vercel.app/models/llama-3.2-1b-instruct/)meta-llama                                         | 1.2B    | 1.9 GB    | 2.5 GB    | 3.8 GB    |
| [Llama-3.2-1B](https://whatcanirunai.vercel.app/models/llama-3.2-1b/)meta-llama                                                           | 1.2B    | 1.9 GB    | 2.5 GB    | 3.8 GB    |
| [Llama-3.2-1B](https://whatcanirunai.vercel.app/models/llama-3.2-1b-nousresearch/)NousResearch                                            | 1.2B    | 1.9 GB    | 2.5 GB    | 3.8 GB    |
| [EXAONE-4.0-1.2B](https://whatcanirunai.vercel.app/models/exaone-4.0-1.2b/)LGAI-EXAONE                                                    | 1.3B    | 1.9 GB    | 2.6 GB    | 3.9 GB    |
| [OLMo-1B-0724-hf](https://whatcanirunai.vercel.app/models/olmo-1b-0724-hf/)allenai                                                        | 1.3B    | 1.9 GB    | 2.6 GB    | 3.9 GB    |
| [kanana-2-1.3b-instruct](https://whatcanirunai.vercel.app/models/kanana-2-1.3b-instruct/)kakaocorp                                        | 1.3B    | 1.9 GB    | 2.6 GB    | 4.0 GB    |
| [MiniCPM-V-4.6](https://whatcanirunai.vercel.app/models/minicpm-v-4.6/)openbmb                                                            | 1.3B    | 1.9 GB    | 2.6 GB    | 4.0 GB    |
| [MiniCPM-V-4.6-Thinking](https://whatcanirunai.vercel.app/models/minicpm-v-4.6-thinking/)openbmb                                          | 1.3B    | 1.9 GB    | 2.6 GB    | 4.0 GB    |
| [granite-3.1-1b-a400m-instruct](https://whatcanirunai.vercel.app/models/granite-3.1-1b-a400m-instruct/)ibm-granite                        | 1.3B    | 1.9 GB    | 2.6 GB    | 4.1 GB    |
| [granite-3.0-1b-a400m-instruct](https://whatcanirunai.vercel.app/models/granite-3.0-1b-a400m-instruct/)ibm-granite                        | 1.3B    | 1.9 GB    | 2.6 GB    | 4.1 GB    |
| [granite-4.0-h-1b](https://whatcanirunai.vercel.app/models/granite-4.0-h-1b/)ibm-granite                                                  | 1.5B    | 2.0 GB    | 2.8 GB    | 4.4 GB    |
| [Bolmo-1B](https://whatcanirunai.vercel.app/models/bolmo-1b/)allenai                                                                      | 1.5B    | 2.0 GB    | 2.8 GB    | 4.4 GB    |
| [Yi-Coder-1.5B-Chat](https://whatcanirunai.vercel.app/models/yi-coder-1.5b-chat/)01-ai                                                    | 1.5B    | 2.0 GB    | 2.8 GB    | 4.4 GB    |
| [OLMo-2-0425-1B](https://whatcanirunai.vercel.app/models/olmo-2-0425-1b/)allenai                                                          | 1.5B    | 2.0 GB    | 2.8 GB    | 4.4 GB    |
| [OLMo-2-0425-1B-Instruct](https://whatcanirunai.vercel.app/models/olmo-2-0425-1b-instruct/)allenai                                        | 1.5B    | 2.0 GB    | 2.8 GB    | 4.4 GB    |
| [Hymba-1.5B-Instruct](https://whatcanirunai.vercel.app/models/hymba-1.5b-instruct/)nvidia                                                 | 1.5B    | 2.1 GB    | 2.9 GB    | 4.5 GB    |
| [Qwen2.5-1.5B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-1.5b-instruct/)Qwen                                               | 1.5B    | 2.1 GB    | 2.9 GB    | 4.6 GB    |
| [Qwen2.5-1.5B](https://whatcanirunai.vercel.app/models/qwen2.5-1.5b/)Qwen                                                                 | 1.5B    | 2.1 GB    | 2.9 GB    | 4.6 GB    |
| [Qwen2.5-Coder-1.5B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-coder-1.5b-instruct/)Qwen                                   | 1.5B    | 2.1 GB    | 2.9 GB    | 4.6 GB    |
| [Qwen2.5-Coder-1.5B](https://whatcanirunai.vercel.app/models/qwen2.5-coder-1.5b/)Qwen                                                     | 1.5B    | 2.1 GB    | 2.9 GB    | 4.6 GB    |
| [Qwen2.5-Math-1.5B](https://whatcanirunai.vercel.app/models/qwen2.5-math-1.5b/)Qwen                                                       | 1.5B    | 2.1 GB    | 2.9 GB    | 4.6 GB    |
| [Qwen2-1.5B-Instruct](https://whatcanirunai.vercel.app/models/qwen2-1.5b-instruct/)Qwen                                                   | 1.5B    | 2.1 GB    | 2.9 GB    | 4.6 GB    |
| [Qwen2.5-Math-1.5B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-math-1.5b-instruct/)Qwen                                     | 1.5B    | 2.1 GB    | 2.9 GB    | 4.6 GB    |
| [ReaderLM-v2](https://whatcanirunai.vercel.app/models/readerlm-v2/)jinaai                                                                 | 1.5B    | 2.1 GB    | 2.9 GB    | 4.6 GB    |
| [reader-lm-1.5b](https://whatcanirunai.vercel.app/models/reader-lm-1.5b/)jinaai                                                           | 1.5B    | 2.1 GB    | 2.9 GB    | 4.6 GB    |
| [MiniCPM-V-4.7-1B](https://whatcanirunai.vercel.app/models/minicpm-v-4.7-1b/)openbmb                                                      | 1.6B    | 2.1 GB    | 2.9 GB    | 4.6 GB    |
| [Falcon-H1-1.5B-Instruct](https://whatcanirunai.vercel.app/models/falcon-h1-1.5b-instruct/)tiiuae                                         | 1.6B    | 2.1 GB    | 2.9 GB    | 4.6 GB    |
| [Falcon-H1-1.5B-Deep-Instruct](https://whatcanirunai.vercel.app/models/falcon-h1-1.5b-deep-instruct/)tiiuae                               | 1.6B    | 2.1 GB    | 2.9 GB    | 4.6 GB    |
| [LFM2-VL-1.6B](https://whatcanirunai.vercel.app/models/lfm2-vl-1.6b/)LiquidAI                                                             | 1.6B    | 2.1 GB    | 2.9 GB    | 4.6 GB    |
| [glm-edge-1.5b-chat](https://whatcanirunai.vercel.app/models/glm-edge-1.5b-chat/)zai-org                                                  | 1.6B    | 2.1 GB    | 2.9 GB    | 4.7 GB    |
| [LFM2.5-VL-1.6B](https://whatcanirunai.vercel.app/models/lfm2.5-vl-1.6b/)LiquidAI                                                         | 1.6B    | 2.1 GB    | 3.0 GB    | 4.7 GB    |
| [granite-4.0-1b](https://whatcanirunai.vercel.app/models/granite-4.0-1b/)ibm-granite                                                      | 1.6B    | 2.1 GB    | 3.0 GB    | 4.8 GB    |
| [EuroLLM-1.7B-Instruct](https://whatcanirunai.vercel.app/models/eurollm-1.7b-instruct/)utter-project                                      | 1.7B    | 2.2 GB    | 3.0 GB    | 4.8 GB    |
| [Falcon3-1B-Instruct](https://whatcanirunai.vercel.app/models/falcon3-1b-instruct/)tiiuae                                                 | 1.7B    | 2.2 GB    | 3.0 GB    | 4.8 GB    |
| [Spark-X2.6-1.7B](https://whatcanirunai.vercel.app/models/spark-x2.6-1.7b/)XHToken                                                        | 1.7B    | 2.2 GB    | 3.1 GB    | 4.9 GB    |
| [SmolLM2-1.7B](https://whatcanirunai.vercel.app/models/smollm2-1.7b/)HuggingFaceTB                                                        | 1.7B    | 2.2 GB    | 3.1 GB    | 4.9 GB    |
| [SmolLM-1.7B](https://whatcanirunai.vercel.app/models/smollm-1.7b/)HuggingFaceTB                                                          | 1.7B    | 2.2 GB    | 3.1 GB    | 4.9 GB    |
| [Qwen3-1.7B-Base](https://whatcanirunai.vercel.app/models/qwen3-1.7b-base/)Qwen                                                           | 1.7B    | 2.2 GB    | 3.1 GB    | 5.0 GB    |
| [LFM3-1.7B](https://whatcanirunai.vercel.app/models/lfm3-1.7b/)LiquidAI                                                                   | 1.7B    | 2.2 GB    | 3.1 GB    | 5.0 GB    |
| [DeepSeek-R1-Distill-Qwen-1.5B](https://whatcanirunai.vercel.app/models/deepseek-r1-distill-qwen-1.5b/)deepseek-ai                        | 1.8B    | 2.2 GB    | 3.2 GB    | 5.1 GB    |
| [internlm2\_5-1\_8b-chat](https://whatcanirunai.vercel.app/models/internlm2-5-1-8b-chat/)internlm                                         | 1.9B    | 2.3 GB    | 3.3 GB    | 5.3 GB    |
| [FastVLM-1.5B](https://whatcanirunai.vercel.app/models/fastvlm-1.5b/)apple                                                                | 1.9B    | 2.3 GB    | 3.3 GB    | 5.4 GB    |
| [LFM3-VL-2B](https://whatcanirunai.vercel.app/models/lfm3-vl-2b/)LiquidAI                                                                 | 1.9B    | 2.3 GB    | 3.3 GB    | 5.4 GB    |
| [d1-2B](https://whatcanirunai.vercel.app/models/d1-2b/)LiquidAI                                                                           | 1.9B    | 2.3 GB    | 3.3 GB    | 5.4 GB    |
| [Youtu-LLM-2B](https://whatcanirunai.vercel.app/models/youtu-llm-2b/)tencent                                                              | 2.0B    | 2.4 GB    | 3.4 GB    | 5.5 GB    |
| [Qwen3-1.7B](https://whatcanirunai.vercel.app/models/qwen3-1.7b/)Qwen                                                                     | 2.0B    | 2.4 GB    | 3.5 GB    | 5.7 GB    |
| [Hy-MT2-1.8B](https://whatcanirunai.vercel.app/models/hy-mt2-1.8b/)tencent                                                                | 2.0B    | 2.4 GB    | 3.5 GB    | 5.7 GB    |
| [kanana-nano-2.1b-instruct](https://whatcanirunai.vercel.app/models/kanana-nano-2.1b-instruct/)kakaocorp                                  | 2.1B    | 2.5 GB    | 3.6 GB    | 5.8 GB    |
| [Qwen3-VL-2B-Instruct](https://whatcanirunai.vercel.app/models/qwen3-vl-2b-instruct/)Qwen                                                 | 2.1B    | 2.5 GB    | 3.6 GB    | 5.9 GB    |
| [granite-swash-2b](https://whatcanirunai.vercel.app/models/granite-swash-2b/)ibm-granite                                                  | 2.1B    | 2.5 GB    | 3.6 GB    | 5.9 GB    |
| [LFM3-Omni-2B](https://whatcanirunai.vercel.app/models/lfm3-omni-2b/)LiquidAI                                                             | 2.2B    | 2.5 GB    | 3.6 GB    | 6.0 GB    |
| [Qwen2-VL-2B-Instruct](https://whatcanirunai.vercel.app/models/qwen2-vl-2b-instruct/)Qwen                                                 | 2.2B    | 2.5 GB    | 3.7 GB    | 6.1 GB    |
| [SmolVLM-Base](https://whatcanirunai.vercel.app/models/smolvlm-base/)HuggingFaceTB                                                        | 2.2B    | 2.6 GB    | 3.7 GB    | 6.2 GB    |
| [SmolVLM2-2.2B-Instruct](https://whatcanirunai.vercel.app/models/smolvlm2-2.2b-instruct/)HuggingFaceTB                                    | 2.2B    | 2.6 GB    | 3.7 GB    | 6.2 GB    |
| [salamandra-2b](https://whatcanirunai.vercel.app/models/salamandra-2b/)BSC-LT                                                             | 2.3B    | 2.6 GB    | 3.8 GB    | 6.2 GB    |
| [salamandra-2b-instruct](https://whatcanirunai.vercel.app/models/salamandra-2b-instruct/)BSC-LT                                           | 2.3B    | 2.6 GB    | 3.8 GB    | 6.2 GB    |
| [Qwen3.5-2B](https://whatcanirunai.vercel.app/models/qwen3.5-2b/)Qwen                                                                     | 2.3B    | 2.6 GB    | 3.8 GB    | 6.2 GB    |
| [kanana-1.5-2.1b-instruct-2505](https://whatcanirunai.vercel.app/models/kanana-1.5-2.1b-instruct-2505/)kakaocorp                          | 2.3B    | 2.6 GB    | 3.8 GB    | 6.3 GB    |
| [EXAONE-3.5-2.4B-Instruct](https://whatcanirunai.vercel.app/models/exaone-3.5-2.4b-instruct/)LGAI-EXAONE                                  | 2.4B    | 2.7 GB    | 3.9 GB    | 6.5 GB    |
| [EXAONE-Deep-2.4B](https://whatcanirunai.vercel.app/models/exaone-deep-2.4b/)LGAI-EXAONE                                                  | 2.4B    | 2.7 GB    | 3.9 GB    | 6.5 GB    |
| [bitnet-b1.58-2B-4T-bf16](https://whatcanirunai.vercel.app/models/bitnet-b1.58-2b-4t-bf16/)microsoft                                      | 2.4B    | 2.7 GB    | 3.9 GB    | 6.5 GB    |
| [UI-Venus-1.5-2B](https://whatcanirunai.vercel.app/models/ui-venus-1.5-2b/)inclusionAI                                                    | 2.4B    | 2.7 GB    | 4.0 GB    | 6.6 GB    |
| [WeVisOne-VL-2B](https://whatcanirunai.vercel.app/models/wevisone-vl-2b/)tencent                                                          | 2.4B    | 2.7 GB    | 4.0 GB    | 6.6 GB    |
| [UI-TARS-2B-SFT](https://whatcanirunai.vercel.app/models/ui-tars-2b-sft/)ByteDance-Seed                                                   | 2.4B    | 2.7 GB    | 4.0 GB    | 6.6 GB    |
| [North-Micro-Vision-Instruct](https://whatcanirunai.vercel.app/models/north-micro-vision-instruct/)CohereLabs                             | 2.5B    | 2.7 GB    | 4.0 GB    | 6.7 GB    |
| [sarvam-1-v0.5](https://whatcanirunai.vercel.app/models/sarvam-1-v0.5/)sarvamai                                                           | 2.5B    | 2.7 GB    | 4.1 GB    | 6.8 GB    |
| [MiniCPM5-2B](https://whatcanirunai.vercel.app/models/minicpm5-2b/)openbmb                                                                | 2.5B    | 2.8 GB    | 4.1 GB    | 6.8 GB    |
| [MiniCPM5-2B-SFT](https://whatcanirunai.vercel.app/models/minicpm5-2b-sft/)openbmb                                                        | 2.5B    | 2.8 GB    | 4.1 GB    | 6.8 GB    |
| [MiniCPM5-2B-Midtrain](https://whatcanirunai.vercel.app/models/minicpm5-2b-midtrain/)openbmb                                              | 2.5B    | 2.8 GB    | 4.1 GB    | 6.8 GB    |
| [granite-3.1-2b-instruct](https://whatcanirunai.vercel.app/models/granite-3.1-2b-instruct/)ibm-granite                                    | 2.5B    | 2.8 GB    | 4.1 GB    | 6.8 GB    |
| [granite-3.2-2b-instruct](https://whatcanirunai.vercel.app/models/granite-3.2-2b-instruct/)ibm-granite                                    | 2.5B    | 2.8 GB    | 4.1 GB    | 6.8 GB    |
| [granite-3.3-2b-instruct](https://whatcanirunai.vercel.app/models/granite-3.3-2b-instruct/)ibm-granite                                    | 2.5B    | 2.8 GB    | 4.1 GB    | 6.8 GB    |
| [LFM2-2.6B](https://whatcanirunai.vercel.app/models/lfm2-2.6b/)LiquidAI                                                                   | 2.6B    | 2.8 GB    | 4.1 GB    | 6.9 GB    |
| [LFM2-2.6B-Exp](https://whatcanirunai.vercel.app/models/lfm2-2.6b-exp/)LiquidAI                                                           | 2.6B    | 2.8 GB    | 4.1 GB    | 6.9 GB    |
| [LFM2-2.6B-Transcript](https://whatcanirunai.vercel.app/models/lfm2-2.6b-transcript/)LiquidAI                                             | 2.6B    | 2.8 GB    | 4.1 GB    | 6.9 GB    |
| [Motif-2.6B](https://whatcanirunai.vercel.app/models/motif-2.6b/)Motif-Technologies                                                       | 2.6B    | 2.8 GB    | 4.2 GB    | 7.0 GB    |
| [EuroMoE-2.6B-A0.6B-Instruct-Preview](https://whatcanirunai.vercel.app/models/euromoe-2.6b-a0.6b-instruct-preview/)utter-project          | 2.6B    | 2.8 GB    | 4.2 GB    | 7.0 GB    |
| [gemma-2-2b-it](https://whatcanirunai.vercel.app/models/gemma-2-2b-it/)google                                                             | 2.6B    | 2.8 GB    | 4.2 GB    | 7.0 GB    |
| [gemma-2-2b](https://whatcanirunai.vercel.app/models/gemma-2-2b/)google                                                                   | 2.6B    | 2.8 GB    | 4.2 GB    | 7.0 GB    |
| [granite-3.0-2b-instruct](https://whatcanirunai.vercel.app/models/granite-3.0-2b-instruct/)ibm-granite                                    | 2.6B    | 2.8 GB    | 4.2 GB    | 7.1 GB    |
| [Zamba2-2.7B](https://whatcanirunai.vercel.app/models/zamba2-2.7b/)Zyphra                                                                 | 2.7B    | 2.9 GB    | 4.3 GB    | 7.1 GB    |
| [Zamba2-2.7B-instruct](https://whatcanirunai.vercel.app/models/zamba2-2.7b-instruct/)Zyphra                                               | 2.7B    | 2.9 GB    | 4.3 GB    | 7.1 GB    |
| [LFM2.5-2.6B](https://whatcanirunai.vercel.app/models/lfm2.5-2.6b/)LiquidAI                                                               | 2.7B    | 2.9 GB    | 4.3 GB    | 7.2 GB    |
| [granite-vision-3.2-2b](https://whatcanirunai.vercel.app/models/granite-vision-3.2-2b/)ibm-granite                                        | 3.0B    | 3.1 GB    | 4.6 GB    | 7.8 GB    |
| [granite-vision-3.1-2b-preview](https://whatcanirunai.vercel.app/models/granite-vision-3.1-2b-preview/)ibm-granite                        | 3.0B    | 3.1 GB    | 4.6 GB    | 7.8 GB    |
| [granite-vision-3.3-2b-chart2csv-preview](https://whatcanirunai.vercel.app/models/granite-vision-3.3-2b-chart2csv-preview/)ibm-granite    | 3.0B    | 3.1 GB    | 4.6 GB    | 7.8 GB    |
| [granite-swash-3b-a600m](https://whatcanirunai.vercel.app/models/granite-swash-3b-a600m/)ibm-granite                                      | 3.0B    | 3.1 GB    | 4.7 GB    | 7.9 GB    |
| [AI21-Jamba2-3B](https://whatcanirunai.vercel.app/models/ai21-jamba2-3b/)ai21labs                                                         | 3.0B    | 3.1 GB    | 4.7 GB    | 8.0 GB    |
| [SmolLM3-3B](https://whatcanirunai.vercel.app/models/smollm3-3b/)HuggingFaceTB                                                            | 3.1B    | 3.1 GB    | 4.8 GB    | 8.1 GB    |
| [Qwen2.5-3B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-3b-instruct/)Qwen                                                   | 3.1B    | 3.2 GB    | 4.8 GB    | 8.1 GB    |
| [Qwen2.5-Coder-3B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-coder-3b-instruct/)Qwen                                       | 3.1B    | 3.2 GB    | 4.8 GB    | 8.1 GB    |
| [Qwen2.5-3B](https://whatcanirunai.vercel.app/models/qwen2.5-3b/)Qwen                                                                     | 3.1B    | 3.2 GB    | 4.8 GB    | 8.1 GB    |
| [Qwen2.5-Coder-3B](https://whatcanirunai.vercel.app/models/qwen2.5-coder-3b/)Qwen                                                         | 3.1B    | 3.2 GB    | 4.8 GB    | 8.1 GB    |
| [d1-3B](https://whatcanirunai.vercel.app/models/d1-3b/)LiquidAI                                                                           | 3.1B    | 3.2 GB    | 4.8 GB    | 8.2 GB    |
| [LFM2.5-VL-3B](https://whatcanirunai.vercel.app/models/lfm2.5-vl-3b/)LiquidAI                                                             | 3.1B    | 3.2 GB    | 4.8 GB    | 8.2 GB    |
| [Falcon-H1-3B-Instruct](https://whatcanirunai.vercel.app/models/falcon-h1-3b-instruct/)tiiuae                                             | 3.1B    | 3.2 GB    | 4.8 GB    | 8.2 GB    |
| [granite-4.0-h-micro](https://whatcanirunai.vercel.app/models/granite-4.0-h-micro/)ibm-granite                                            | 3.2B    | 3.2 GB    | 4.9 GB    | 8.3 GB    |
| [AI21-Jamba-Reasoning-3B](https://whatcanirunai.vercel.app/models/ai21-jamba-reasoning-3b/)ai21labs                                       | 3.2B    | 3.2 GB    | 4.9 GB    | 8.4 GB    |
| [Llama-3.2-3B-Instruct](https://whatcanirunai.vercel.app/models/llama-3.2-3b-instruct/)meta-llama                                         | 3.2B    | 3.2 GB    | 4.9 GB    | 8.4 GB    |
| [Llama-3.2-3B](https://whatcanirunai.vercel.app/models/llama-3.2-3b/)meta-llama                                                           | 3.2B    | 3.2 GB    | 4.9 GB    | 8.4 GB    |
| [Hermes-3-Llama-3.2-3B](https://whatcanirunai.vercel.app/models/hermes-3-llama-3.2-3b/)NousResearch                                       | 3.2B    | 3.2 GB    | 4.9 GB    | 8.4 GB    |
| [DeepHermes-3-Llama-3-3B-Preview](https://whatcanirunai.vercel.app/models/deephermes-3-llama-3-3b-preview/)NousResearch                   | 3.2B    | 3.2 GB    | 4.9 GB    | 8.4 GB    |
| [Falcon3-3B-Instruct](https://whatcanirunai.vercel.app/models/falcon3-3b-instruct/)tiiuae                                                 | 3.2B    | 3.3 GB    | 4.9 GB    | 8.4 GB    |
| [granite-3.1-3b-a800m-instruct](https://whatcanirunai.vercel.app/models/granite-3.1-3b-a800m-instruct/)ibm-granite                        | 3.3B    | 3.3 GB    | 5.0 GB    | 8.6 GB    |
| [granite-4.1-3b](https://whatcanirunai.vercel.app/models/granite-4.1-3b/)ibm-granite                                                      | 3.4B    | 3.4 GB    | 5.2 GB    | 8.8 GB    |
| [granite-4.0-micro](https://whatcanirunai.vercel.app/models/granite-4.0-micro/)ibm-granite                                                | 3.4B    | 3.4 GB    | 5.2 GB    | 8.8 GB    |
| [kanana-2-3b-instruct](https://whatcanirunai.vercel.app/models/kanana-2-3b-instruct/)kakaocorp                                            | 3.5B    | 3.4 GB    | 5.3 GB    | 9.1 GB    |
| [granite-4.2-3b](https://whatcanirunai.vercel.app/models/granite-4.2-3b/)ibm-granite                                                      | 3.7B    | 3.6 GB    | 5.5 GB    | 9.4 GB    |
| [kanana-1.5-v-3b-instruct](https://whatcanirunai.vercel.app/models/kanana-1.5-v-3b-instruct/)kakaocorp                                    | 3.7B    | 3.6 GB    | 5.5 GB    | 9.4 GB    |
| [HyperCLOVAX-SEED-Vision-Instruct-3B](https://whatcanirunai.vercel.app/models/hyperclovax-seed-vision-instruct-3b/)naver-hyperclovax      | 3.7B    | 3.6 GB    | 5.5 GB    | 9.6 GB    |
| [CapRL-3B](https://whatcanirunai.vercel.app/models/caprl-3b/)internlm                                                                     | 3.8B    | 3.6 GB    | 5.6 GB    | 9.6 GB    |
| [Phi-tiny-MoE-instruct](https://whatcanirunai.vercel.app/models/phi-tiny-moe-instruct/)microsoft                                          | 3.8B    | 3.6 GB    | 5.6 GB    | 9.6 GB    |
| [HY-Embodied-0.5](https://whatcanirunai.vercel.app/models/hy-embodied-0.5/)tencent                                                        | 3.8B    | 3.6 GB    | 5.6 GB    | 9.7 GB    |
| [Phi-3.5-mini-instruct](https://whatcanirunai.vercel.app/models/phi-3.5-mini-instruct/)microsoft                                          | 3.8B    | 3.7 GB    | 5.7 GB    | 9.8 GB    |
| [MediPhi-Instruct](https://whatcanirunai.vercel.app/models/mediphi-instruct/)microsoft                                                    | 3.8B    | 3.7 GB    | 5.7 GB    | 9.8 GB    |
| [MediPhi](https://whatcanirunai.vercel.app/models/mediphi/)microsoft                                                                      | 3.8B    | 3.7 GB    | 5.7 GB    | 9.8 GB    |
| [MediPhi-Clinical](https://whatcanirunai.vercel.app/models/mediphi-clinical/)microsoft                                                    | 3.8B    | 3.7 GB    | 5.7 GB    | 9.8 GB    |
| [MediPhi-PubMed](https://whatcanirunai.vercel.app/models/mediphi-pubmed/)microsoft                                                        | 3.8B    | 3.7 GB    | 5.7 GB    | 9.8 GB    |
| [Nemotron-Labs-Diffusion-3B](https://whatcanirunai.vercel.app/models/nemotron-labs-diffusion-3b/)nvidia                                   | 3.8B    | 3.7 GB    | 5.7 GB    | 9.8 GB    |
| [Phi-4-mini-instruct](https://whatcanirunai.vercel.app/models/phi-4-mini-instruct/)microsoft                                              | 3.8B    | 3.7 GB    | 5.7 GB    | 9.8 GB    |
| [Phi-4-mini-reasoning](https://whatcanirunai.vercel.app/models/phi-4-mini-reasoning/)microsoft                                            | 3.8B    | 3.7 GB    | 5.7 GB    | 9.8 GB    |
| [Phi-4-mini-flash-reasoning](https://whatcanirunai.vercel.app/models/phi-4-mini-flash-reasoning/)microsoft                                | 3.9B    | 3.7 GB    | 5.7 GB    | 9.9 GB    |
| [Nanbeige4.1-3B](https://whatcanirunai.vercel.app/models/nanbeige4.1-3b/)Nanbeige                                                         | 3.9B    | 3.7 GB    | 5.8 GB    | 10.0 GB   |
| [Nanbeige4-3B-Thinking-2511](https://whatcanirunai.vercel.app/models/nanbeige4-3b-thinking-2511/)Nanbeige                                 | 3.9B    | 3.7 GB    | 5.8 GB    | 10.0 GB   |
| [NVIDIA-Nemotron-3-Nano-4B-BF16](https://whatcanirunai.vercel.app/models/nvidia-nemotron-3-nano-4b-bf16/)nvidia                           | 4.0B    | 3.8 GB    | 5.9 GB    | 10.1 GB   |
| [Nemotron Labs Dory 1.0 4B](https://whatcanirunai.vercel.app/models/nemotron-labs-dory1.0-4b/)nvidia                                      | 4.0B    | 3.8 GB    | 5.9 GB    | 10.1 GB   |
| [granite-vision-4.1-4b](https://whatcanirunai.vercel.app/models/granite-vision-4.1-4b/)ibm-granite                                        | 4.0B    | 3.8 GB    | 5.9 GB    | 10.2 GB   |
| [granite-4.0-3b-vision](https://whatcanirunai.vercel.app/models/granite-4.0-3b-vision/)ibm-granite                                        | 4.0B    | 3.8 GB    | 5.9 GB    | 10.2 GB   |
| [Mellum-4b-base](https://whatcanirunai.vercel.app/models/mellum-4b-base/)JetBrains                                                        | 4.0B    | 3.8 GB    | 5.9 GB    | 10.2 GB   |
| [Qwen3-4B](https://whatcanirunai.vercel.app/models/qwen3-4b/)Qwen                                                                         | 4.0B    | 3.8 GB    | 5.9 GB    | 10.3 GB   |
| [Qwen3-4B-Instruct-2507](https://whatcanirunai.vercel.app/models/qwen3-4b-instruct-2507/)Qwen                                             | 4.0B    | 3.8 GB    | 5.9 GB    | 10.3 GB   |
| [Qwen3-4B-Thinking-2507](https://whatcanirunai.vercel.app/models/qwen3-4b-thinking-2507/)Qwen                                             | 4.0B    | 3.8 GB    | 5.9 GB    | 10.3 GB   |
| [MiniCPM-V-4](https://whatcanirunai.vercel.app/models/minicpm-v-4/)openbmb                                                                | 4.1B    | 3.8 GB    | 6.0 GB    | 10.3 GB   |
| [POINTS-Reader](https://whatcanirunai.vercel.app/models/points-reader/)tencent                                                            | 4.1B    | 3.9 GB    | 6.0 GB    | 10.5 GB   |
| [Spark-X2.6-4B](https://whatcanirunai.vercel.app/models/spark-x2.6-4b/)XHToken                                                            | 4.1B    | 3.9 GB    | 6.0 GB    | 10.5 GB   |
| [Spark-X2.5-4B](https://whatcanirunai.vercel.app/models/spark-x2.5-4b/)XHToken                                                            | 4.1B    | 3.9 GB    | 6.0 GB    | 10.5 GB   |
| [Phi-3.5-vision-instruct](https://whatcanirunai.vercel.app/models/phi-3.5-vision-instruct/)microsoft                                      | 4.1B    | 3.9 GB    | 6.1 GB    | 10.5 GB   |
| [Nanbeige4.2-3B](https://whatcanirunai.vercel.app/models/nanbeige4.2-3b/)Nanbeige                                                         | 4.2B    | 3.9 GB    | 6.1 GB    | 10.6 GB   |
| [gemma-3-4b-it](https://whatcanirunai.vercel.app/models/gemma-3-4b-it/)google                                                             | 4.3B    | 4.0 GB    | 6.3 GB    | 10.9 GB   |
| [medgemma-4b-it](https://whatcanirunai.vercel.app/models/medgemma-4b-it/)google                                                           | 4.3B    | 4.0 GB    | 6.3 GB    | 10.9 GB   |
| [medgemma-1.5-4b-it](https://whatcanirunai.vercel.app/models/medgemma-1.5-4b-it/)google                                                   | 4.3B    | 4.0 GB    | 6.3 GB    | 10.9 GB   |
| [gemma-3-4b-pt](https://whatcanirunai.vercel.app/models/gemma-3-4b-pt/)google                                                             | 4.3B    | 4.0 GB    | 6.3 GB    | 10.9 GB   |
| [glm-edge-4b-chat](https://whatcanirunai.vercel.app/models/glm-edge-4b-chat/)zai-org                                                      | 4.3B    | 4.0 GB    | 6.3 GB    | 11.0 GB   |
| [Qwen3-VL-4B-Instruct](https://whatcanirunai.vercel.app/models/qwen3-vl-4b-instruct/)Qwen                                                 | 4.4B    | 4.1 GB    | 6.4 GB    | 11.2 GB   |
| [CapRL-Qwen3VL-4B](https://whatcanirunai.vercel.app/models/caprl-qwen3vl-4b/)internlm                                                     | 4.4B    | 4.1 GB    | 6.4 GB    | 11.2 GB   |
| [Llama-3.1-Minitron-4B-Width-Base](https://whatcanirunai.vercel.app/models/llama-3.1-minitron-4b-width-base/)nvidia                       | 4.5B    | 4.1 GB    | 6.5 GB    | 11.4 GB   |
| [AFM-4.5B](https://whatcanirunai.vercel.app/models/afm-4.5b/)arcee-ai                                                                     | 4.6B    | 4.2 GB    | 6.6 GB    | 11.6 GB   |
| [Qwen3.5-4B](https://whatcanirunai.vercel.app/models/qwen3.5-4b/)Qwen                                                                     | 4.7B    | 4.2 GB    | 6.7 GB    | 11.7 GB   |
| [S5-nano](https://whatcanirunai.vercel.app/models/s5-nano/)maritaca-ai                                                                    | 4.7B    | 4.2 GB    | 6.7 GB    | 11.7 GB   |
| [Mage-VL](https://whatcanirunai.vercel.app/models/mage-vl/)microsoft                                                                      | 4.7B    | 4.3 GB    | 6.8 GB    | 11.9 GB   |
| [Mage-VL-Cowork](https://whatcanirunai.vercel.app/models/mage-vl-cowork/)microsoft                                                        | 4.7B    | 4.3 GB    | 6.8 GB    | 11.9 GB   |
| [WeVisOne-VL-4B](https://whatcanirunai.vercel.app/models/wevisone-vl-4b/)tencent                                                          | 4.8B    | 4.4 GB    | 6.9 GB    | 12.1 GB   |
| [Apriel-5B-Instruct](https://whatcanirunai.vercel.app/models/apriel-5b-instruct/)ServiceNow-AI                                            | 4.8B    | 4.4 GB    | 6.9 GB    | 12.1 GB   |
| [Molmo2-ER](https://whatcanirunai.vercel.app/models/molmo2-er/)allenai                                                                    | 4.9B    | 4.4 GB    | 6.9 GB    | 12.2 GB   |
| [Gemma 4 E2B](https://whatcanirunai.vercel.app/models/gemma-4-e2b-it/)google                                                              | 5.1B    | 4.6 GB    | 7.3 GB    | 12.8 GB   |
| [Youtu-VL-4B-Instruct](https://whatcanirunai.vercel.app/models/youtu-vl-4b-instruct/)tencent                                              | 5.3B    | 4.7 GB    | 7.5 GB    | 13.3 GB   |
| [gemma-3n-E2B-it](https://whatcanirunai.vercel.app/models/gemma-3n-e2b-it/)google                                                         | 5.4B    | 4.8 GB    | 7.6 GB    | 13.5 GB   |
| [Trinity-Nano-Preview](https://whatcanirunai.vercel.app/models/trinity-nano-preview/)arcee-ai                                             | 6.1B    | 5.3 GB    | 8.5 GB    | 15.1 GB   |
| [Trinity-Nano-Base](https://whatcanirunai.vercel.app/models/trinity-nano-base/)arcee-ai                                                   | 6.1B    | 5.3 GB    | 8.5 GB    | 15.1 GB   |
| [YuE-s1-7B-anneal-en-cot](https://whatcanirunai.vercel.app/models/yue-s1-7b-anneal-en-cot/)m-a-p                                          | 6.2B    | 5.3 GB    | 8.6 GB    | 15.3 GB   |
| [granite-4.0-tiny-preview](https://whatcanirunai.vercel.app/models/granite-4.0-tiny-preview/)ibm-granite                                  | 6.7B    | 5.7 GB    | 9.2 GB    | 16.3 GB   |
| [OLMo-7B-0724-hf](https://whatcanirunai.vercel.app/models/olmo-7b-0724-hf/)allenai                                                        | 6.9B    | 5.8 GB    | 9.4 GB    | 16.8 GB   |
| [OLMoE-1B-7B-0924-Instruct](https://whatcanirunai.vercel.app/models/olmoe-1b-7b-0924-instruct/)allenai                                    | 6.9B    | 5.8 GB    | 9.5 GB    | 16.9 GB   |
| [OLMoE-1B-7B-0924](https://whatcanirunai.vercel.app/models/olmoe-1b-7b-0924/)allenai                                                      | 6.9B    | 5.8 GB    | 9.5 GB    | 16.9 GB   |
| [OLMoE-1B-7B-0125-Instruct](https://whatcanirunai.vercel.app/models/olmoe-1b-7b-0125-instruct/)allenai                                    | 6.9B    | 5.8 GB    | 9.5 GB    | 16.9 GB   |
| [OLMoE-1B-7B-0125](https://whatcanirunai.vercel.app/models/olmoe-1b-7b-0125/)allenai                                                      | 6.9B    | 5.8 GB    | 9.5 GB    | 16.9 GB   |
| [granite-4.0-h-tiny](https://whatcanirunai.vercel.app/models/granite-4.0-h-tiny/)ibm-granite                                              | 6.9B    | 5.8 GB    | 9.5 GB    | 17.0 GB   |
| [Mistral-7B-Instruct-v0.3](https://whatcanirunai.vercel.app/models/mistral-7b-instruct-v0.3/)mistralai                                    | 7.2B    | 6.1 GB    | 9.9 GB    | 17.7 GB   |
| [Olmo-3-7B-Think](https://whatcanirunai.vercel.app/models/olmo-3-7b-think/)allenai                                                        | 7.3B    | 6.1 GB    | 9.9 GB    | 17.8 GB   |
| [Olmo-3-7B-Instruct](https://whatcanirunai.vercel.app/models/olmo-3-7b-instruct/)allenai                                                  | 7.3B    | 6.1 GB    | 9.9 GB    | 17.8 GB   |
| [Olmo-3-1025-7B](https://whatcanirunai.vercel.app/models/olmo-3-1025-7b/)allenai                                                          | 7.3B    | 6.1 GB    | 9.9 GB    | 17.8 GB   |
| [Olmo-3-7B-Instruct-SFT](https://whatcanirunai.vercel.app/models/olmo-3-7b-instruct-sft/)allenai                                          | 7.3B    | 6.1 GB    | 9.9 GB    | 17.8 GB   |
| [Olmo-3-7B-Think-SFT](https://whatcanirunai.vercel.app/models/olmo-3-7b-think-sft/)allenai                                                | 7.3B    | 6.1 GB    | 9.9 GB    | 17.8 GB   |
| [Olmo-3-7B-Instruct-DPO](https://whatcanirunai.vercel.app/models/olmo-3-7b-instruct-dpo/)allenai                                          | 7.3B    | 6.1 GB    | 9.9 GB    | 17.8 GB   |
| [Olmo-3-7B-RL-Zero-Math](https://whatcanirunai.vercel.app/models/olmo-3-7b-rl-zero-math/)allenai                                          | 7.3B    | 6.1 GB    | 9.9 GB    | 17.8 GB   |
| [Olmo-3.1-7B-RL-Zero-Math](https://whatcanirunai.vercel.app/models/olmo-3.1-7b-rl-zero-math/)allenai                                      | 7.3B    | 6.1 GB    | 9.9 GB    | 17.8 GB   |
| [Olmo-3-7B-Think-DPO](https://whatcanirunai.vercel.app/models/olmo-3-7b-think-dpo/)allenai                                                | 7.3B    | 6.1 GB    | 9.9 GB    | 17.8 GB   |
| [OLMo-2-1124-7B-Instruct](https://whatcanirunai.vercel.app/models/olmo-2-1124-7b-instruct/)allenai                                        | 7.3B    | 6.1 GB    | 9.9 GB    | 17.8 GB   |
| [Zamba2-7B-Instruct](https://whatcanirunai.vercel.app/models/zamba2-7b-instruct/)Zyphra                                                   | 7.4B    | 6.1 GB    | 10.0 GB   | 17.9 GB   |
| [LLaDA-MoE-7B-A1B-Base](https://whatcanirunai.vercel.app/models/llada-moe-7b-a1b-base/)inclusionAI                                        | 7.4B    | 6.1 GB    | 10.0 GB   | 17.9 GB   |
| [Olmo-Hybrid-7B](https://whatcanirunai.vercel.app/models/olmo-hybrid-7b/)allenai                                                          | 7.4B    | 6.2 GB    | 10.1 GB   | 18.1 GB   |
| [Falcon3-7B-Instruct](https://whatcanirunai.vercel.app/models/falcon3-7b-instruct/)tiiuae                                                 | 7.5B    | 6.2 GB    | 10.1 GB   | 18.1 GB   |
| [starvector-8b-im2svg](https://whatcanirunai.vercel.app/models/starvector-8b-im2svg/)starvector                                           | 7.5B    | 6.2 GB    | 10.2 GB   | 18.3 GB   |
| [Falcon-H1R-7B](https://whatcanirunai.vercel.app/models/falcon-h1r-7b/)tiiuae                                                             | 7.6B    | 6.3 GB    | 10.3 GB   | 18.4 GB   |
| [Falcon-H1-7B-Instruct](https://whatcanirunai.vercel.app/models/falcon-h1-7b-instruct/)tiiuae                                             | 7.6B    | 6.3 GB    | 10.3 GB   | 18.4 GB   |
| [Qwen2.5-Coder-7B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-coder-7b-instruct/)Qwen                                       | 7.6B    | 6.3 GB    | 10.3 GB   | 18.5 GB   |
| [DeepSeek-R1-Distill-Qwen-7B](https://whatcanirunai.vercel.app/models/deepseek-r1-distill-qwen-7b/)deepseek-ai                            | 7.6B    | 6.3 GB    | 10.3 GB   | 18.5 GB   |
| [Qwen2.5-7B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-7b-instruct/)Qwen                                                   | 7.6B    | 6.3 GB    | 10.3 GB   | 18.5 GB   |
| [Qwen2.5-7B](https://whatcanirunai.vercel.app/models/qwen2.5-7b/)Qwen                                                                     | 7.6B    | 6.3 GB    | 10.3 GB   | 18.5 GB   |
| [Qwen2-7B-Instruct](https://whatcanirunai.vercel.app/models/qwen2-7b-instruct/)Qwen                                                       | 7.6B    | 6.3 GB    | 10.3 GB   | 18.5 GB   |
| [Qwen2.5-Coder-7B](https://whatcanirunai.vercel.app/models/qwen2.5-coder-7b/)Qwen                                                         | 7.6B    | 6.3 GB    | 10.3 GB   | 18.5 GB   |
| [Qwen2-7B](https://whatcanirunai.vercel.app/models/qwen2-7b/)Qwen                                                                         | 7.6B    | 6.3 GB    | 10.3 GB   | 18.5 GB   |
| [Qwen2.5-7B-Instruct-1M](https://whatcanirunai.vercel.app/models/qwen2.5-7b-instruct-1m/)Qwen                                             | 7.6B    | 6.3 GB    | 10.3 GB   | 18.5 GB   |
| [Qwen2.5-Math-7B](https://whatcanirunai.vercel.app/models/qwen2.5-math-7b/)Qwen                                                           | 7.6B    | 6.3 GB    | 10.3 GB   | 18.5 GB   |
| [Qwen2.5-Math-7B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-math-7b-instruct/)Qwen                                         | 7.6B    | 6.3 GB    | 10.3 GB   | 18.5 GB   |
| [Marco-o1](https://whatcanirunai.vercel.app/models/marco-o1/)ATH-MaaS                                                                     | 7.6B    | 6.3 GB    | 10.3 GB   | 18.5 GB   |
| [SeaLLMs-v3-7B-Chat](https://whatcanirunai.vercel.app/models/seallms-v3-7b-chat/)SeaLLMs                                                  | 7.6B    | 6.3 GB    | 10.3 GB   | 18.5 GB   |
| [Arcee-Spark](https://whatcanirunai.vercel.app/models/arcee-spark/)arcee-ai                                                               | 7.6B    | 6.3 GB    | 10.3 GB   | 18.5 GB   |
| [Phi-mini-MoE-instruct](https://whatcanirunai.vercel.app/models/phi-mini-moe-instruct/)microsoft                                          | 7.6B    | 6.3 GB    | 10.3 GB   | 18.6 GB   |
| [internlm2\_5-7b-chat](https://whatcanirunai.vercel.app/models/internlm2-5-7b-chat/)internlm                                              | 7.7B    | 6.4 GB    | 10.5 GB   | 18.8 GB   |
| [internlm2\_5-7b-chat-1m](https://whatcanirunai.vercel.app/models/internlm2-5-7b-chat-1m/)internlm                                        | 7.7B    | 6.4 GB    | 10.5 GB   | 18.8 GB   |
| [Molmo2-O-7B](https://whatcanirunai.vercel.app/models/molmo2-o-7b/)allenai                                                                | 7.8B    | 6.4 GB    | 10.5 GB   | 18.8 GB   |
| [FastVLM-7B](https://whatcanirunai.vercel.app/models/fastvlm-7b/)apple                                                                    | 7.8B    | 6.4 GB    | 10.5 GB   | 18.9 GB   |
| [salamandra-7b-instruct](https://whatcanirunai.vercel.app/models/salamandra-7b-instruct/)BSC-LT                                           | 7.8B    | 6.4 GB    | 10.5 GB   | 18.9 GB   |
| [salamandra-7b](https://whatcanirunai.vercel.app/models/salamandra-7b/)BSC-LT                                                             | 7.8B    | 6.4 GB    | 10.5 GB   | 18.9 GB   |
| [salamandra-7b-instruct-2606](https://whatcanirunai.vercel.app/models/salamandra-7b-instruct-2606/)BSC-LT                                 | 7.8B    | 6.4 GB    | 10.5 GB   | 18.9 GB   |
| [EXAONE-3.5-7.8B-Instruct](https://whatcanirunai.vercel.app/models/exaone-3.5-7.8b-instruct/)LGAI-EXAONE                                  | 7.8B    | 6.5 GB    | 10.6 GB   | 19.0 GB   |
| [EXAONE-Deep-7.8B](https://whatcanirunai.vercel.app/models/exaone-deep-7.8b/)LGAI-EXAONE                                                  | 7.8B    | 6.5 GB    | 10.6 GB   | 19.0 GB   |
| [MiMo-7B-RL](https://whatcanirunai.vercel.app/models/mimo-7b-rl/)XiaomiMiMo                                                               | 7.8B    | 6.5 GB    | 10.6 GB   | 19.0 GB   |
| [MiMo-7B-Base](https://whatcanirunai.vercel.app/models/mimo-7b-base/)XiaomiMiMo                                                           | 7.8B    | 6.5 GB    | 10.6 GB   | 19.0 GB   |
| [MiMo-7B-RL-0530](https://whatcanirunai.vercel.app/models/mimo-7b-rl-0530/)XiaomiMiMo                                                     | 7.8B    | 6.5 GB    | 10.6 GB   | 19.0 GB   |
| [MiMo-7B-SFT](https://whatcanirunai.vercel.app/models/mimo-7b-sft/)XiaomiMiMo                                                             | 7.8B    | 6.5 GB    | 10.6 GB   | 19.0 GB   |
| [Ling-3.0-tiny](https://whatcanirunai.vercel.app/models/ling-3.0-tiny/)inclusionAI                                                        | 7.9B    | 6.5 GB    | 10.6 GB   | 19.2 GB   |
| [Nemotron 3.5 Bolt E4B](https://whatcanirunai.vercel.app/models/nemotron-3.5-bolt-e4b/)nvidia                                             | 8.0B    | 6.6 GB    | 10.8 GB   | 19.4 GB   |
| [Gemma 4 E4B](https://whatcanirunai.vercel.app/models/gemma-4-e4b-it/)google                                                              | 8.0B    | 6.6 GB    | 10.8 GB   | 19.4 GB   |
| [Hy-MT2-7B](https://whatcanirunai.vercel.app/models/hy-mt2-7b/)tencent                                                                    | 8.0B    | 6.6 GB    | 10.8 GB   | 19.5 GB   |
| [Llama-3.1-8B-Instruct](https://whatcanirunai.vercel.app/models/llama-3.1-8b-instruct/)meta-llama                                         | 8.0B    | 6.6 GB    | 10.8 GB   | 19.5 GB   |
| [Llama-3.1-8B](https://whatcanirunai.vercel.app/models/llama-3.1-8b/)meta-llama                                                           | 8.0B    | 6.6 GB    | 10.8 GB   | 19.5 GB   |
| [DeepSeek-R1-Distill-Llama-8B](https://whatcanirunai.vercel.app/models/deepseek-r1-distill-llama-8b/)deepseek-ai                          | 8.0B    | 6.6 GB    | 10.8 GB   | 19.5 GB   |
| [Meta-Llama-3.1-8B-Instruct](https://whatcanirunai.vercel.app/models/meta-llama-3.1-8b-instruct/)NousResearch                             | 8.0B    | 6.6 GB    | 10.8 GB   | 19.5 GB   |
| [L3-8B-Stheno-v3.2](https://whatcanirunai.vercel.app/models/l3-8b-stheno-v3.2/)Sao10K                                                     | 8.0B    | 6.6 GB    | 10.8 GB   | 19.5 GB   |
| [Llama-3.1-Nemotron-Nano-8B-v1](https://whatcanirunai.vercel.app/models/llama-3.1-nemotron-nano-8b-v1/)nvidia                             | 8.0B    | 6.6 GB    | 10.8 GB   | 19.5 GB   |
| [Meta-Llama-3.1-8B](https://whatcanirunai.vercel.app/models/meta-llama-3.1-8b/)NousResearch                                               | 8.0B    | 6.6 GB    | 10.8 GB   | 19.5 GB   |
| [LongWriter-llama3.1-8b](https://whatcanirunai.vercel.app/models/longwriter-llama3.1-8b/)zai-org                                          | 8.0B    | 6.6 GB    | 10.8 GB   | 19.5 GB   |
| [kanana-1.5-8b-instruct-2505](https://whatcanirunai.vercel.app/models/kanana-1.5-8b-instruct-2505/)kakaocorp                              | 8.0B    | 6.6 GB    | 10.8 GB   | 19.5 GB   |
| [Llama-3.1-Tulu-3-8B](https://whatcanirunai.vercel.app/models/llama-3.1-tulu-3-8b/)allenai                                                | 8.0B    | 6.6 GB    | 10.8 GB   | 19.5 GB   |
| [Llama-3.1-Tulu-3-8B-DPO](https://whatcanirunai.vercel.app/models/llama-3.1-tulu-3-8b-dpo/)allenai                                        | 8.0B    | 6.6 GB    | 10.8 GB   | 19.5 GB   |
| [Llama-3.1-Tulu-3.1-8B](https://whatcanirunai.vercel.app/models/llama-3.1-tulu-3.1-8b/)allenai                                            | 8.0B    | 6.6 GB    | 10.8 GB   | 19.5 GB   |
| [Apertus-8B-Instruct-2509](https://whatcanirunai.vercel.app/models/apertus-8b-instruct-2509/)swiss-ai                                     | 8.1B    | 6.6 GB    | 10.8 GB   | 19.5 GB   |
| [Apertus-8B-2509](https://whatcanirunai.vercel.app/models/apertus-8b-2509/)swiss-ai                                                       | 8.1B    | 6.6 GB    | 10.8 GB   | 19.5 GB   |
| [granite-3.1-8b-instruct](https://whatcanirunai.vercel.app/models/granite-3.1-8b-instruct/)ibm-granite                                    | 8.2B    | 6.7 GB    | 11.0 GB   | 19.8 GB   |
| [granite-3.2-8b-instruct](https://whatcanirunai.vercel.app/models/granite-3.2-8b-instruct/)ibm-granite                                    | 8.2B    | 6.7 GB    | 11.0 GB   | 19.8 GB   |
| [granite-3.0-8b-instruct](https://whatcanirunai.vercel.app/models/granite-3.0-8b-instruct/)ibm-granite                                    | 8.2B    | 6.7 GB    | 11.0 GB   | 19.8 GB   |
| [granite-3.3-8b-instruct](https://whatcanirunai.vercel.app/models/granite-3.3-8b-instruct/)ibm-granite                                    | 8.2B    | 6.7 GB    | 11.0 GB   | 19.8 GB   |
| [MiniCPM4-8B](https://whatcanirunai.vercel.app/models/minicpm4-8b/)openbmb                                                                | 8.2B    | 6.7 GB    | 11.0 GB   | 19.8 GB   |
| [MiniCPM4.1-8B](https://whatcanirunai.vercel.app/models/minicpm4.1-8b/)openbmb                                                            | 8.2B    | 6.7 GB    | 11.0 GB   | 19.8 GB   |
| [AgentCPM-Report](https://whatcanirunai.vercel.app/models/agentcpm-report/)openbmb                                                        | 8.2B    | 6.7 GB    | 11.0 GB   | 19.8 GB   |
| [MiniCPM4-MCP](https://whatcanirunai.vercel.app/models/minicpm4-mcp/)openbmb                                                              | 8.2B    | 6.7 GB    | 11.0 GB   | 19.8 GB   |
| [Qwen3-8B](https://whatcanirunai.vercel.app/models/qwen3-8b/)Qwen                                                                         | 8.2B    | 6.7 GB    | 11.0 GB   | 19.8 GB   |
| [DeepSeek-R1-0528-Qwen3-8B](https://whatcanirunai.vercel.app/models/deepseek-r1-0528-qwen3-8b/)deepseek-ai                                | 8.2B    | 6.7 GB    | 11.0 GB   | 19.8 GB   |
| [Qwen3-8B-Base](https://whatcanirunai.vercel.app/models/qwen3-8b-base/)Qwen                                                               | 8.2B    | 6.7 GB    | 11.0 GB   | 19.8 GB   |
| [WeDLM-8B-Instruct](https://whatcanirunai.vercel.app/models/wedlm-8b-instruct/)tencent                                                    | 8.2B    | 6.7 GB    | 11.0 GB   | 19.8 GB   |
| [PaCoRe-8B](https://whatcanirunai.vercel.app/models/pacore-8b/)stepfun-ai                                                                 | 8.2B    | 6.7 GB    | 11.0 GB   | 19.8 GB   |
| [Seed-Coder-8B-Instruct](https://whatcanirunai.vercel.app/models/seed-coder-8b-instruct/)ByteDance-Seed                                   | 8.3B    | 6.8 GB    | 11.1 GB   | 20.0 GB   |
| [Seed-Coder-8B-Reasoning](https://whatcanirunai.vercel.app/models/seed-coder-8b-reasoning/)ByteDance-Seed                                 | 8.3B    | 6.8 GB    | 11.1 GB   | 20.0 GB   |
| [Stable-DiffCoder-8B-Instruct](https://whatcanirunai.vercel.app/models/stable-diffcoder-8b-instruct/)ByteDance-Seed                       | 8.3B    | 6.8 GB    | 11.1 GB   | 20.0 GB   |
| [Qwen2-VL-7B-Instruct](https://whatcanirunai.vercel.app/models/qwen2-vl-7b-instruct/)Qwen                                                 | 8.3B    | 6.8 GB    | 11.1 GB   | 20.1 GB   |
| [UI-TARS-7B-DPO](https://whatcanirunai.vercel.app/models/ui-tars-7b-dpo/)ByteDance-Seed                                                   | 8.3B    | 6.8 GB    | 11.1 GB   | 20.1 GB   |
| [UI-TARS-7B-SFT](https://whatcanirunai.vercel.app/models/ui-tars-7b-sft/)ByteDance-Seed                                                   | 8.3B    | 6.8 GB    | 11.1 GB   | 20.1 GB   |
| [Qwen2.5-VL-7B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-vl-7b-instruct/)Qwen                                             | 8.3B    | 6.8 GB    | 11.1 GB   | 20.1 GB   |
| [UI-TARS-1.5-7B](https://whatcanirunai.vercel.app/models/ui-tars-1.5-7b/)ByteDance-Seed                                                   | 8.3B    | 6.8 GB    | 11.1 GB   | 20.1 GB   |
| [Fara-7B](https://whatcanirunai.vercel.app/models/fara-7b/)microsoft                                                                      | 8.3B    | 6.8 GB    | 11.1 GB   | 20.1 GB   |
| [UI-Venus-Ground-7B](https://whatcanirunai.vercel.app/models/ui-venus-ground-7b/)inclusionAI                                              | 8.3B    | 6.8 GB    | 11.1 GB   | 20.1 GB   |
| [MiMo-VL-7B-RL-2508](https://whatcanirunai.vercel.app/models/mimo-vl-7b-rl-2508/)XiaomiMiMo                                               | 8.3B    | 6.8 GB    | 11.1 GB   | 20.1 GB   |
| [MiMo-VL-7B-RL](https://whatcanirunai.vercel.app/models/mimo-vl-7b-rl/)XiaomiMiMo                                                         | 8.3B    | 6.8 GB    | 11.1 GB   | 20.1 GB   |
| [MiMo-Embodied-7B](https://whatcanirunai.vercel.app/models/mimo-embodied-7b/)XiaomiMiMo                                                   | 8.3B    | 6.8 GB    | 11.1 GB   | 20.1 GB   |
| [MiMo-VL-7B-SFT](https://whatcanirunai.vercel.app/models/mimo-vl-7b-sft/)XiaomiMiMo                                                       | 8.3B    | 6.8 GB    | 11.1 GB   | 20.1 GB   |
| [rnj-1-instruct](https://whatcanirunai.vercel.app/models/rnj-1-instruct/)EssentialAI                                                      | 8.3B    | 6.8 GB    | 11.2 GB   | 20.1 GB   |
| [LFM2-8B-A1B](https://whatcanirunai.vercel.app/models/lfm2-8b-a1b/)LiquidAI                                                               | 8.3B    | 6.8 GB    | 11.2 GB   | 20.2 GB   |
| [Mistral-NeMo-Minitron-8B-Base](https://whatcanirunai.vercel.app/models/mistral-nemo-minitron-8b-base/)nvidia                             | 8.4B    | 6.9 GB    | 11.3 GB   | 20.4 GB   |
| [LFM2.5-8B-A1B](https://whatcanirunai.vercel.app/models/lfm2.5-8b-a1b/)LiquidAI                                                           | 8.5B    | 6.9 GB    | 11.3 GB   | 20.5 GB   |
| [Nemotron-Labs-Diffusion-8B-Base](https://whatcanirunai.vercel.app/models/nemotron-labs-diffusion-8b-base/)nvidia                         | 8.5B    | 6.9 GB    | 11.4 GB   | 20.5 GB   |
| [Intern-S1-mini](https://whatcanirunai.vercel.app/models/intern-s1-mini/)internlm                                                         | 8.5B    | 7.0 GB    | 11.4 GB   | 20.6 GB   |
| [aya-vision-8b](https://whatcanirunai.vercel.app/models/aya-vision-8b/)CohereLabs                                                         | 8.6B    | 7.0 GB    | 11.5 GB   | 20.9 GB   |
| [MiniCPM-V-4\_5](https://whatcanirunai.vercel.app/models/minicpm-v-4-5/)openbmb                                                           | 8.7B    | 7.1 GB    | 11.6 GB   | 21.0 GB   |
| [Llama-3.1-Nemotron-Nano-VL-8B-V1](https://whatcanirunai.vercel.app/models/llama-3.1-nemotron-nano-vl-8b-v1/)nvidia                       | 8.7B    | 7.1 GB    | 11.7 GB   | 21.1 GB   |
| [Qwen3-VL-8B-Instruct](https://whatcanirunai.vercel.app/models/qwen3-vl-8b-instruct/)Qwen                                                 | 8.8B    | 7.1 GB    | 11.7 GB   | 21.2 GB   |
| [Qwen3-VL-8B-Thinking](https://whatcanirunai.vercel.app/models/qwen3-vl-8b-thinking/)Qwen                                                 | 8.8B    | 7.1 GB    | 11.7 GB   | 21.2 GB   |
| [UI-Venus-1.5-8B](https://whatcanirunai.vercel.app/models/ui-venus-1.5-8b/)inclusionAI                                                    | 8.8B    | 7.1 GB    | 11.7 GB   | 21.2 GB   |
| [granite-switch-4.1-8b](https://whatcanirunai.vercel.app/models/granite-switch-4.1-8b/)ibm-granite                                        | 8.8B    | 7.1 GB    | 11.7 GB   | 21.2 GB   |
| [granite-4.1-8b](https://whatcanirunai.vercel.app/models/granite-4.1-8b/)ibm-granite                                                      | 8.8B    | 7.1 GB    | 11.7 GB   | 21.2 GB   |
| [granite-4.2-8b](https://whatcanirunai.vercel.app/models/granite-4.2-8b/)ibm-granite                                                      | 8.8B    | 7.1 GB    | 11.7 GB   | 21.2 GB   |
| [internlm3-8b-instruct](https://whatcanirunai.vercel.app/models/internlm3-8b-instruct/)internlm                                           | 8.8B    | 7.1 GB    | 11.8 GB   | 21.2 GB   |
| [Yi-Coder-9B-Chat](https://whatcanirunai.vercel.app/models/yi-coder-9b-chat/)01-ai                                                        | 8.8B    | 7.2 GB    | 11.8 GB   | 21.3 GB   |
| [Yi-Coder-9B](https://whatcanirunai.vercel.app/models/yi-coder-9b/)01-ai                                                                  | 8.8B    | 7.2 GB    | 11.8 GB   | 21.3 GB   |
| [ZAYA1-base](https://whatcanirunai.vercel.app/models/zaya1-base/)Zyphra                                                                   | 8.8B    | 7.2 GB    | 11.8 GB   | 21.3 GB   |
| [NVIDIA-Nemotron-Nano-9B-v2](https://whatcanirunai.vercel.app/models/nvidia-nemotron-nano-9b-v2/)nvidia                                   | 8.9B    | 7.2 GB    | 11.9 GB   | 21.4 GB   |
| [EuroLLM-9B-Instruct-2512](https://whatcanirunai.vercel.app/models/eurollm-9b-instruct-2512/)utter-project                                | 9.2B    | 7.4 GB    | 12.2 GB   | 22.1 GB   |
| [gemma-2-9b-it](https://whatcanirunai.vercel.app/models/gemma-2-9b-it/)google                                                             | 9.2B    | 7.4 GB    | 12.3 GB   | 22.3 GB   |
| [gemma-2-9b](https://whatcanirunai.vercel.app/models/gemma-2-9b/)google                                                                   | 9.2B    | 7.4 GB    | 12.3 GB   | 22.3 GB   |
| [Gemma-SEA-LION-v3-9B-IT](https://whatcanirunai.vercel.app/models/gemma-sea-lion-v3-9b-it/)aisingapore                                    | 9.2B    | 7.4 GB    | 12.3 GB   | 22.3 GB   |
| [moondream3-preview](https://whatcanirunai.vercel.app/models/moondream3-preview/)moondream                                                | 9.3B    | 7.5 GB    | 12.3 GB   | 22.3 GB   |
| [glm-4-9b-chat-hf](https://whatcanirunai.vercel.app/models/glm-4-9b-chat-hf/)zai-org                                                      | 9.4B    | 7.6 GB    | 12.5 GB   | 22.6 GB   |
| [codegeex4-all-9b](https://whatcanirunai.vercel.app/models/codegeex4-all-9b/)zai-org                                                      | 9.4B    | 7.6 GB    | 12.5 GB   | 22.6 GB   |
| [GLM-4-9B-0414](https://whatcanirunai.vercel.app/models/glm-4-9b-0414/)zai-org                                                            | 9.4B    | 7.6 GB    | 12.5 GB   | 22.6 GB   |
| [GLM-Z1-9B-0414](https://whatcanirunai.vercel.app/models/glm-z1-9b-0414/)zai-org                                                          | 9.4B    | 7.6 GB    | 12.5 GB   | 22.6 GB   |
| [NorthCUA-Nano](https://whatcanirunai.vercel.app/models/northcua-nano/)beipo-ai                                                           | 9.4B    | 7.6 GB    | 12.5 GB   | 22.6 GB   |
| [MiniCPM-SALA](https://whatcanirunai.vercel.app/models/minicpm-sala/)openbmb                                                              | 9.5B    | 7.6 GB    | 12.6 GB   | 22.8 GB   |
| [Ornith-1.5-9B](https://whatcanirunai.vercel.app/models/ornith-1.5-9b/)ornith-ai                                                          | 9.7B    | 7.7 GB    | 12.8 GB   | 23.2 GB   |
| [Qwen3.5-9B](https://whatcanirunai.vercel.app/models/qwen3.5-9b/)Qwen                                                                     | 9.7B    | 7.7 GB    | 12.8 GB   | 23.2 GB   |
| [SenseNova-Loop-9B-Preview](https://whatcanirunai.vercel.app/models/sensenova-loop-9b-preview/)sensenova                                  | 9.7B    | 7.7 GB    | 12.8 GB   | 23.2 GB   |
| [ZAYA1-VL-8B](https://whatcanirunai.vercel.app/models/zaya1-vl-8b/)Zyphra                                                                 | 9.7B    | 7.8 GB    | 12.9 GB   | 23.4 GB   |
| [INTELLECT-1-Instruct](https://whatcanirunai.vercel.app/models/intellect-1-instruct/)PrimeIntellect                                       | 10.2B   | 8.1 GB    | 13.5 GB   | 24.5 GB   |
| [INTELLECT-1](https://whatcanirunai.vercel.app/models/intellect-1/)PrimeIntellect                                                         | 10.2B   | 8.1 GB    | 13.5 GB   | 24.5 GB   |
| [GLM-4.1V-9B-Thinking](https://whatcanirunai.vercel.app/models/glm-4.1v-9b-thinking/)zai-org                                              | 10.3B   | 8.2 GB    | 13.6 GB   | 24.7 GB   |
| [GLM-4.6V-Flash](https://whatcanirunai.vercel.app/models/glm-4.6v-flash/)zai-org                                                          | 10.3B   | 8.2 GB    | 13.6 GB   | 24.7 GB   |
| [GLM-4.1V-9B-Base](https://whatcanirunai.vercel.app/models/glm-4.1v-9b-base/)zai-org                                                      | 10.3B   | 8.2 GB    | 13.6 GB   | 24.7 GB   |
| [Glyph](https://whatcanirunai.vercel.app/models/glyph/)zai-org                                                                            | 10.3B   | 8.2 GB    | 13.6 GB   | 24.7 GB   |
| [Falcon3-10B-Instruct](https://whatcanirunai.vercel.app/models/falcon3-10b-instruct/)tiiuae                                               | 10.3B   | 8.2 GB    | 13.6 GB   | 24.7 GB   |
| [Llama-3.2-11B-Vision](https://whatcanirunai.vercel.app/models/llama-3.2-11b-vision/)meta-llama                                           | 10.6B   | 8.4 GB    | 14.0 GB   | 25.5 GB   |
| [Llama-3.2-11B-Vision-Instruct](https://whatcanirunai.vercel.app/models/llama-3.2-11b-vision-instruct/)meta-llama                         | 10.7B   | 8.4 GB    | 14.0 GB   | 25.5 GB   |
| [HyperCLOVAX-SEED-Omni-8B](https://whatcanirunai.vercel.app/models/hyperclovax-seed-omni-8b/)naver-hyperclovax                            | 10.7B   | 8.5 GB    | 14.1 GB   | 25.7 GB   |
| [Gemma 4 12B](https://whatcanirunai.vercel.app/models/gemma-4-12b-it/)google                                                              | 12.0B   | 9.3 GB    | 15.6 GB   | 28.5 GB   |
| [Mellum2.1-12B-A2.5B-Thinking](https://whatcanirunai.vercel.app/models/mellum2.1-12b-a2.5b-thinking/)JetBrains                            | 12.1B   | 9.5 GB    | 15.8 GB   | 28.9 GB   |
| [Mellum2-12B-A2.5B-Thinking](https://whatcanirunai.vercel.app/models/mellum2-12b-a2.5b-thinking/)JetBrains                                | 12.1B   | 9.5 GB    | 15.8 GB   | 28.9 GB   |
| [Mellum2-12B-A2.5B-Instruct](https://whatcanirunai.vercel.app/models/mellum2-12b-a2.5b-instruct/)JetBrains                                | 12.1B   | 9.5 GB    | 15.8 GB   | 28.9 GB   |
| [Mellum2-12B-A2.5B-Thinking-SFT](https://whatcanirunai.vercel.app/models/mellum2-12b-a2.5b-thinking-sft/)JetBrains                        | 12.1B   | 9.5 GB    | 15.8 GB   | 28.9 GB   |
| [Mellum2.1-12B-A2.5B-Thinking-MTP](https://whatcanirunai.vercel.app/models/mellum2.1-12b-a2.5b-thinking-mtp/)JetBrains                    | 12.1B   | 9.5 GB    | 15.8 GB   | 28.9 GB   |
| [gemma-3-12b-it](https://whatcanirunai.vercel.app/models/gemma-3-12b-it/)google                                                           | 12.2B   | 9.5 GB    | 15.9 GB   | 29.0 GB   |
| [gemma-3-12b-pt](https://whatcanirunai.vercel.app/models/gemma-3-12b-pt/)google                                                           | 12.2B   | 9.5 GB    | 15.9 GB   | 29.0 GB   |
| [Mistral-Nemo-Instruct-2407](https://whatcanirunai.vercel.app/models/mistral-nemo-instruct-2407/)mistralai                                | 12.2B   | 9.5 GB    | 16.0 GB   | 29.2 GB   |
| [OLMo-2-1124-13B-Instruct](https://whatcanirunai.vercel.app/models/olmo-2-1124-13b-instruct/)allenai                                      | 13.7B   | 10.6 GB   | 17.8 GB   | 32.5 GB   |
| [phi-4](https://whatcanirunai.vercel.app/models/phi-4/)microsoft                                                                          | 14.7B   | 11.2 GB   | 18.9 GB   | 34.7 GB   |
| [Phi-4-reasoning](https://whatcanirunai.vercel.app/models/phi-4-reasoning/)microsoft                                                      | 14.7B   | 11.2 GB   | 18.9 GB   | 34.7 GB   |
| [Phi-4-reasoning-plus](https://whatcanirunai.vercel.app/models/phi-4-reasoning-plus/)microsoft                                            | 14.7B   | 11.2 GB   | 18.9 GB   | 34.7 GB   |
| [HyperCLOVAX-SEED-Think-14B](https://whatcanirunai.vercel.app/models/hyperclovax-seed-think-14b/)naver-hyperclovax                        | 14.7B   | 11.3 GB   | 19.0 GB   | 34.9 GB   |
| [Qwen3-14B](https://whatcanirunai.vercel.app/models/qwen3-14b/)Qwen                                                                       | 14.8B   | 11.3 GB   | 19.0 GB   | 35.0 GB   |
| [JanusCoder-14B](https://whatcanirunai.vercel.app/models/januscoder-14b/)internlm                                                         | 14.8B   | 11.3 GB   | 19.0 GB   | 35.0 GB   |
| [Qwen2.5-Coder-14B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-coder-14b-instruct/)Qwen                                     | 14.8B   | 11.3 GB   | 19.0 GB   | 35.0 GB   |
| [DeepSeek-R1-Distill-Qwen-14B](https://whatcanirunai.vercel.app/models/deepseek-r1-distill-qwen-14b/)deepseek-ai                          | 14.8B   | 11.3 GB   | 19.0 GB   | 35.0 GB   |
| [Qwen2.5-14B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-14b-instruct/)Qwen                                                 | 14.8B   | 11.3 GB   | 19.0 GB   | 35.0 GB   |
| [Qwen2.5-14B](https://whatcanirunai.vercel.app/models/qwen2.5-14b/)Qwen                                                                   | 14.8B   | 11.3 GB   | 19.0 GB   | 35.0 GB   |
| [Qwen2.5-14B-Instruct-1M](https://whatcanirunai.vercel.app/models/qwen2.5-14b-instruct-1m/)Qwen                                           | 14.8B   | 11.3 GB   | 19.0 GB   | 35.0 GB   |
| [Qwen2.5-Coder-14B](https://whatcanirunai.vercel.app/models/qwen2.5-coder-14b/)Qwen                                                       | 14.8B   | 11.3 GB   | 19.0 GB   | 35.0 GB   |
| [Carbon-X (DNA)](https://whatcanirunai.vercel.app/models/carbon-x/)HuggingFaceBio                                                         | 14.8B   | 11.3 GB   | 19.1 GB   | 35.1 GB   |
| [Apriel-1.5-15b-Thinker](https://whatcanirunai.vercel.app/models/apriel-1.5-15b-thinker/)ServiceNow-AI                                    | 14.9B   | 11.4 GB   | 19.2 GB   | 35.2 GB   |
| [Apriel-1.6-15b-Thinker](https://whatcanirunai.vercel.app/models/apriel-1.6-15b-thinker/)ServiceNow-AI                                    | 14.9B   | 11.4 GB   | 19.2 GB   | 35.2 GB   |
| [Apriel-Nemotron-15b-Thinker](https://whatcanirunai.vercel.app/models/apriel-nemotron-15b-thinker/)ServiceNow-AI                          | 15.0B   | 11.4 GB   | 19.3 GB   | 35.4 GB   |
| [Phi-4-reasoning-vision-15B](https://whatcanirunai.vercel.app/models/phi-4-reasoning-vision-15b/)microsoft                                | 15.1B   | 11.5 GB   | 19.5 GB   | 35.8 GB   |
| [kanana-1.5-15.7b-a3b-instruct](https://whatcanirunai.vercel.app/models/kanana-1.5-15.7b-a3b-instruct/)kakaocorp                          | 15.7B   | 11.9 GB   | 20.2 GB   | 37.1 GB   |
| [DeepSeek-Coder-V2-Lite-Instruct](https://whatcanirunai.vercel.app/models/deepseek-coder-v2-lite-instruct/)deepseek-ai                    | 15.7B   | 12.0 GB   | 20.2 GB   | 37.1 GB   |
| [Instella-MoE-16B-A3B-Think](https://whatcanirunai.vercel.app/models/instella-moe-16b-a3b-think/)amd                                      | 15.9B   | 12.1 GB   | 20.4 GB   | 37.5 GB   |
| [Moonlight-16B-A3B-Instruct](https://whatcanirunai.vercel.app/models/moonlight-16b-a3b-instruct/)moonshotai                               | 16.0B   | 12.1 GB   | 20.5 GB   | 37.7 GB   |
| [Moonlight-16B-A3B](https://whatcanirunai.vercel.app/models/moonlight-16b-a3b/)moonshotai                                                 | 16.0B   | 12.1 GB   | 20.5 GB   | 37.7 GB   |
| [LLaDA2.1-mini](https://whatcanirunai.vercel.app/models/llada2.1-mini/)inclusionAI                                                        | 16.3B   | 12.3 GB   | 20.9 GB   | 38.4 GB   |
| [LLaDA2.0-mini](https://whatcanirunai.vercel.app/models/llada2.0-mini/)inclusionAI                                                        | 16.3B   | 12.3 GB   | 20.9 GB   | 38.4 GB   |
| [Ling-mini-2.0](https://whatcanirunai.vercel.app/models/ling-mini-2.0/)inclusionAI                                                        | 16.3B   | 12.3 GB   | 20.9 GB   | 38.4 GB   |
| [Ring-mini-2.0](https://whatcanirunai.vercel.app/models/ring-mini-2.0/)inclusionAI                                                        | 16.3B   | 12.3 GB   | 20.9 GB   | 38.4 GB   |
| [LLaDA2.2-mini](https://whatcanirunai.vercel.app/models/llada2.2-mini/)inclusionAI                                                        | 16.3B   | 12.3 GB   | 20.9 GB   | 38.4 GB   |
| [LLaDA2.0-mini-preview](https://whatcanirunai.vercel.app/models/llada2.0-mini-preview/)inclusionAI                                        | 16.3B   | 12.3 GB   | 20.9 GB   | 38.4 GB   |
| [Kimi-VL-A3B-Instruct](https://whatcanirunai.vercel.app/models/kimi-vl-a3b-instruct/)moonshotai                                           | 16.4B   | 12.4 GB   | 21.0 GB   | 38.7 GB   |
| [Kimi-VL-A3B-Thinking](https://whatcanirunai.vercel.app/models/kimi-vl-a3b-thinking/)moonshotai                                           | 16.4B   | 12.4 GB   | 21.0 GB   | 38.7 GB   |
| [Kimi-VL-A3B-Thinking-2506](https://whatcanirunai.vercel.app/models/kimi-vl-a3b-thinking-2506/)moonshotai                                 | 16.4B   | 12.4 GB   | 21.0 GB   | 38.7 GB   |
| [Ring-mini-linear-2.0](https://whatcanirunai.vercel.app/models/ring-mini-linear-2.0/)inclusionAI                                          | 16.4B   | 12.5 GB   | 21.1 GB   | 38.8 GB   |
| [Ling-lite](https://whatcanirunai.vercel.app/models/ling-lite/)inclusionAI                                                                | 16.8B   | 12.7 GB   | 21.5 GB   | 39.6 GB   |
| [Ling-lite-1.5-2507](https://whatcanirunai.vercel.app/models/ling-lite-1.5-2507/)inclusionAI                                              | 16.8B   | 12.7 GB   | 21.5 GB   | 39.6 GB   |
| [Ling-lite-1.5](https://whatcanirunai.vercel.app/models/ling-lite-1.5/)inclusionAI                                                        | 16.8B   | 12.7 GB   | 21.5 GB   | 39.6 GB   |
| [Ring-lite](https://whatcanirunai.vercel.app/models/ring-lite/)inclusionAI                                                                | 16.8B   | 12.7 GB   | 21.5 GB   | 39.6 GB   |
| [Ling-Coder-lite](https://whatcanirunai.vercel.app/models/ling-coder-lite/)inclusionAI                                                    | 16.8B   | 12.7 GB   | 21.5 GB   | 39.6 GB   |
| [Ring-lite-distill-preview](https://whatcanirunai.vercel.app/models/ring-lite-distill-preview/)inclusionAI                                | 16.8B   | 12.7 GB   | 21.5 GB   | 39.6 GB   |
| [Groot-19B-A3B-261023](https://whatcanirunai.vercel.app/models/groot-19b-a3b-261023/)GrootTeam                                            | 19.4B   | 14.5 GB   | 24.7 GB   | 45.7 GB   |
| [internlm2\_5-20b-chat](https://whatcanirunai.vercel.app/models/internlm2-5-20b-chat/)internlm                                            | 19.9B   | 14.8 GB   | 25.3 GB   | 46.7 GB   |
| [maple-preview](https://whatcanirunai.vercel.app/models/maple-preview/)deepgrove                                                          | 20.2B   | 15.1 GB   | 25.7 GB   | 47.5 GB   |
| [reka-flash-3](https://whatcanirunai.vercel.app/models/reka-flash-3/)RekaAI                                                               | 20.9B   | 15.6 GB   | 26.5 GB   | 49.1 GB   |
| [gpt-oss-20b](https://whatcanirunai.vercel.app/models/gpt-oss-20b/)openai                                                                 | 20.9B   | 15.6 GB   | 26.6 GB   | 49.1 GB   |
| [ERNIE-4.5-21B-A3B-Thinking](https://whatcanirunai.vercel.app/models/ernie-4.5-21b-a3b-thinking/)baidu                                    | 21.8B   | 16.2 GB   | 27.7 GB   | 51.2 GB   |
| [ERNIE-4.5-21B-A3B-PT](https://whatcanirunai.vercel.app/models/ernie-4.5-21b-a3b-pt/)baidu                                                | 21.9B   | 16.3 GB   | 27.8 GB   | 51.5 GB   |
| [solar-pro-preview-instruct](https://whatcanirunai.vercel.app/models/solar-pro-preview-instruct/)upstage                                  | 22.1B   | 16.4 GB   | 28.1 GB   | 51.9 GB   |
| [EuroLLM-22B-Instruct-2512](https://whatcanirunai.vercel.app/models/eurollm-22b-instruct-2512/)utter-project                              | 22.6B   | 16.8 GB   | 28.7 GB   | 53.1 GB   |
| [EuroLLM-22B-2512](https://whatcanirunai.vercel.app/models/eurollm-22b-2512/)utter-project                                                | 22.6B   | 16.8 GB   | 28.7 GB   | 53.1 GB   |
| [Mistral-Small-24B-Instruct-2501](https://whatcanirunai.vercel.app/models/mistral-small-24b-instruct-2501/)mistralai                      | 23.6B   | 17.4 GB   | 29.8 GB   | 55.2 GB   |
| [LFM2-24B-A2B](https://whatcanirunai.vercel.app/models/lfm2-24b-a2b/)LiquidAI                                                             | 23.8B   | 17.6 GB   | 30.1 GB   | 55.8 GB   |
| [LFM2.5-24B-A2B](https://whatcanirunai.vercel.app/models/lfm2.5-24b-a2b/)LiquidAI                                                         | 24.0B   | 17.7 GB   | 30.3 GB   | 56.1 GB   |
| [Mistral-Small-3.2-24B-Instruct-2506](https://whatcanirunai.vercel.app/models/mistral-small-3.2-24b-instruct-2506/)mistralai              | 24.0B   | 17.7 GB   | 30.3 GB   | 56.2 GB   |
| [Mistral-Small-3.1-24B-Instruct-2503](https://whatcanirunai.vercel.app/models/mistral-small-3.1-24b-instruct-2503/)mistralai              | 24.0B   | 17.7 GB   | 30.3 GB   | 56.2 GB   |
| [Voxtral-Small-24B-2507](https://whatcanirunai.vercel.app/models/voxtral-small-24b-2507/)mistralai                                        | 24.3B   | 17.9 GB   | 30.6 GB   | 56.8 GB   |
| [Gemma 4 26B A4B](https://whatcanirunai.vercel.app/models/gemma-4-26b-a4b-it/)google                                                      | 25.8B   | 19.0 GB   | 32.5 GB   | 60.4 GB   |
| [gemma-4-26B-A4B](https://whatcanirunai.vercel.app/models/gemma-4-26b-a4b/)google                                                         | 25.8B   | 19.0 GB   | 32.5 GB   | 60.4 GB   |
| [diffusiongemma-26B-A4B-it](https://whatcanirunai.vercel.app/models/diffusiongemma-26b-a4b-it/)google                                     | 25.8B   | 19.0 GB   | 32.6 GB   | 60.4 GB   |
| [Trinity-Mini](https://whatcanirunai.vercel.app/models/trinity-mini/)arcee-ai                                                             | 26.1B   | 19.2 GB   | 32.9 GB   | 61.1 GB   |
| [Hemmingway-1.5](https://whatcanirunai.vercel.app/models/hemmingway-1.5/)HemmingwayAI                                                     | 26.9B   | 19.8 GB   | 33.9 GB   | 62.9 GB   |
| [medgemma-27b-text-it](https://whatcanirunai.vercel.app/models/medgemma-27b-text-it/)google                                               | 27.0B   | 19.8 GB   | 34.0 GB   | 63.1 GB   |
| [Qwen3.8-27B-Longbook27-v2](https://whatcanirunai.vercel.app/models/qwen3.8-27b-longbook27-v2/)summerAIO                                  | 27.1B   | 19.9 GB   | 34.1 GB   | 63.3 GB   |
| [gemma-2-27b-it](https://whatcanirunai.vercel.app/models/gemma-2-27b-it/)google                                                           | 27.2B   | 20.0 GB   | 34.3 GB   | 63.6 GB   |
| [gemma-2-27b](https://whatcanirunai.vercel.app/models/gemma-2-27b/)google                                                                 | 27.2B   | 20.0 GB   | 34.3 GB   | 63.6 GB   |
| [Arete-27B](https://whatcanirunai.vercel.app/models/arete-27b/)NousResearch                                                               | 27.4B   | 20.1 GB   | 34.4 GB   | 63.9 GB   |
| [gemma-3-27b-it](https://whatcanirunai.vercel.app/models/gemma-3-27b-it/)google                                                           | 27.4B   | 20.1 GB   | 34.5 GB   | 64.1 GB   |
| [Qwen3.8-27B](https://whatcanirunai.vercel.app/models/qwen3.8-27b/)Qwen                                                                   | 27.8B   | 20.4 GB   | 34.9 GB   | 64.9 GB   |
| [Tess-4.5-27B](https://whatcanirunai.vercel.app/models/tess-4.5-27b/)migtissera                                                           | 27.8B   | 20.4 GB   | 34.9 GB   | 64.9 GB   |
| [Qwen3.6-27B](https://whatcanirunai.vercel.app/models/qwen3.6-27b/)Qwen                                                                   | 27.8B   | 20.4 GB   | 34.9 GB   | 64.9 GB   |
| [Qwen3.5-27B](https://whatcanirunai.vercel.app/models/qwen3.5-27b/)Qwen                                                                   | 27.8B   | 20.4 GB   | 34.9 GB   | 64.9 GB   |
| [Raon-1 mini preview](https://whatcanirunai.vercel.app/models/raon-1-mini-preview/)KRAFTON                                                | 28.8B   | 21.1 GB   | 36.2 GB   | 67.2 GB   |
| [granite-4.1-30b](https://whatcanirunai.vercel.app/models/granite-4.1-30b/)ibm-granite                                                    | 28.9B   | 21.1 GB   | 36.3 GB   | 67.4 GB   |
| [granite-4.2-30b](https://whatcanirunai.vercel.app/models/granite-4.2-30b/)ibm-granite                                                    | 29.3B   | 21.4 GB   | 36.8 GB   | 68.3 GB   |
| [ERNIE-4.5-VL-28B-A3B-PT](https://whatcanirunai.vercel.app/models/ernie-4.5-vl-28b-a3b-pt/)baidu                                          | 29.4B   | 21.5 GB   | 36.9 GB   | 68.6 GB   |
| [ERNIE-4.5-VL-28B-A3B-Thinking](https://whatcanirunai.vercel.app/models/ernie-4.5-vl-28b-a3b-thinking/)baidu                              | 29.7B   | 21.7 GB   | 37.2 GB   | 69.2 GB   |
| [Muse-Glimmer-30B](https://whatcanirunai.vercel.app/models/muse-glimmer-30b/)meta-models                                                  | 29.8B   | 21.8 GB   | 37.4 GB   | 69.5 GB   |
| [granite-switch-4.1-30b](https://whatcanirunai.vercel.app/models/granite-switch-4.1-30b/)ibm-granite                                      | 30.0B   | 21.9 GB   | 37.6 GB   | 70.0 GB   |
| [Hy-Memory-30B-A3B](https://whatcanirunai.vercel.app/models/hy-memory-30b-a3b/)tencent                                                    | 30.1B   | 22.0 GB   | 37.7 GB   | 70.1 GB   |
| [Hy-MT2-30B-A3B](https://whatcanirunai.vercel.app/models/hy-mt2-30b-a3b/)tencent                                                          | 30.1B   | 22.0 GB   | 37.7 GB   | 70.1 GB   |
| [North-Mini-Code-1.0](https://whatcanirunai.vercel.app/models/north-mini-code-1.0/)CohereLabs                                             | 30.5B   | 22.3 GB   | 38.2 GB   | 71.1 GB   |
| [Qwen3-30B-A3B](https://whatcanirunai.vercel.app/models/qwen3-30b-a3b/)Qwen                                                               | 30.5B   | 22.3 GB   | 38.3 GB   | 71.2 GB   |
| [Qwen3-Coder-30B-A3B-Instruct](https://whatcanirunai.vercel.app/models/qwen3-coder-30b-a3b-instruct/)Qwen                                 | 30.5B   | 22.3 GB   | 38.3 GB   | 71.2 GB   |
| [Qwen3-30B-A3B-Instruct-2507](https://whatcanirunai.vercel.app/models/qwen3-30b-a3b-instruct-2507/)Qwen                                   | 30.5B   | 22.3 GB   | 38.3 GB   | 71.2 GB   |
| [Qwen3-30B-A3B-Thinking-2507](https://whatcanirunai.vercel.app/models/qwen3-30b-a3b-thinking-2507/)Qwen                                   | 30.5B   | 22.3 GB   | 38.3 GB   | 71.2 GB   |
| [Tongyi-DeepResearch-30B-A3B](https://whatcanirunai.vercel.app/models/tongyi-deepresearch-30b-a3b/)Alibaba-NLP                            | 30.5B   | 22.3 GB   | 38.3 GB   | 71.2 GB   |
| [Rubicon-Preview](https://whatcanirunai.vercel.app/models/rubicon-preview/)inclusionAI                                                    | 30.5B   | 22.3 GB   | 38.3 GB   | 71.2 GB   |
| [kanana-2-30b-a3b-instruct-2601](https://whatcanirunai.vercel.app/models/kanana-2-30b-a3b-instruct-2601/)kakaocorp                        | 30.7B   | 22.4 GB   | 38.5 GB   | 71.5 GB   |
| [kanana-2-30b-a3b-instruct](https://whatcanirunai.vercel.app/models/kanana-2-30b-a3b-instruct/)kakaocorp                                  | 30.7B   | 22.4 GB   | 38.5 GB   | 71.5 GB   |
| [kanana-2-30b-a3b-thinking-2601](https://whatcanirunai.vercel.app/models/kanana-2-30b-a3b-thinking-2601/)kakaocorp                        | 30.7B   | 22.4 GB   | 38.5 GB   | 71.5 GB   |
| [Qwen3-VL-30B-A3B-Instruct](https://whatcanirunai.vercel.app/models/qwen3-vl-30b-a3b-instruct/)Qwen                                       | 31.1B   | 22.7 GB   | 39.0 GB   | 72.5 GB   |
| [Qwen3-VL-30B-A3B-Thinking](https://whatcanirunai.vercel.app/models/qwen3-vl-30b-a3b-thinking/)Qwen                                       | 31.1B   | 22.7 GB   | 39.0 GB   | 72.5 GB   |
| [UI-Venus-1.5-30B-A3B](https://whatcanirunai.vercel.app/models/ui-venus-1.5-30b-a3b/)inclusionAI                                          | 31.1B   | 22.7 GB   | 39.0 GB   | 72.5 GB   |
| [Xing4.0-29B-A4B](https://whatcanirunai.vercel.app/models/xing4.0-29b-a4b/)XingChen-AGI                                                   | 31.2B   | 22.8 GB   | 39.1 GB   | 72.8 GB   |
| [Xing4.0-29B-Intent](https://whatcanirunai.vercel.app/models/xing4.0-29b-intent/)XingChen-AGI                                             | 31.2B   | 22.8 GB   | 39.1 GB   | 72.8 GB   |
| [GLM-4.7-Flash](https://whatcanirunai.vercel.app/models/glm-4.7-flash/)zai-org                                                            | 31.2B   | 22.8 GB   | 39.1 GB   | 72.8 GB   |
| [Gemma 4 31B](https://whatcanirunai.vercel.app/models/gemma-4-31b-it/)google                                                              | 31.3B   | 22.8 GB   | 39.2 GB   | 72.9 GB   |
| [gemma-4-31B](https://whatcanirunai.vercel.app/models/gemma-4-31b/)google                                                                 | 31.3B   | 22.8 GB   | 39.2 GB   | 72.9 GB   |
| [NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16](https://whatcanirunai.vercel.app/models/nvidia-nemotron-3.5-lightning-30b-a3b-bf16/)nvidia   | 31.6B   | 23.0 GB   | 39.6 GB   | 73.6 GB   |
| [NVIDIA-Nemotron-3-Nano-30B-A3B-BF16](https://whatcanirunai.vercel.app/models/nvidia-nemotron-3-nano-30b-a3b-bf16/)nvidia                 | 31.6B   | 23.0 GB   | 39.6 GB   | 73.6 GB   |
| [Nemotron-Cascade-2-30B-A3B](https://whatcanirunai.vercel.app/models/nemotron-cascade-2-30b-a3b/)nvidia                                   | 31.6B   | 23.0 GB   | 39.6 GB   | 73.6 GB   |
| [EXAONE-3.5-32B-Instruct](https://whatcanirunai.vercel.app/models/exaone-3.5-32b-instruct/)LGAI-EXAONE                                    | 32.0B   | 23.3 GB   | 40.1 GB   | 74.6 GB   |
| [EXAONE-Deep-32B](https://whatcanirunai.vercel.app/models/exaone-deep-32b/)LGAI-EXAONE                                                    | 32.0B   | 23.3 GB   | 40.1 GB   | 74.6 GB   |
| [EXAONE-4.0-32B](https://whatcanirunai.vercel.app/models/exaone-4.0-32b/)LGAI-EXAONE                                                      | 32.0B   | 23.3 GB   | 40.1 GB   | 74.6 GB   |
| [EXAONE-4.0.1-32B](https://whatcanirunai.vercel.app/models/exaone-4.0.1-32b/)LGAI-EXAONE                                                  | 32.0B   | 23.3 GB   | 40.1 GB   | 74.6 GB   |
| [sarvam-30b](https://whatcanirunai.vercel.app/models/sarvam-30b/)sarvamai                                                                 | 32.2B   | 23.4 GB   | 40.3 GB   | 75.0 GB   |
| [granite-4.0-h-small](https://whatcanirunai.vercel.app/models/granite-4.0-h-small/)ibm-granite                                            | 32.2B   | 23.5 GB   | 40.4 GB   | 75.1 GB   |
| [Olmo-3-32B-Think](https://whatcanirunai.vercel.app/models/olmo-3-32b-think/)allenai                                                      | 32.2B   | 23.5 GB   | 40.4 GB   | 75.1 GB   |
| [Olmo-3-1125-32B](https://whatcanirunai.vercel.app/models/olmo-3-1125-32b/)allenai                                                        | 32.2B   | 23.5 GB   | 40.4 GB   | 75.1 GB   |
| [Olmo-3.1-32B-Instruct](https://whatcanirunai.vercel.app/models/olmo-3.1-32b-instruct/)allenai                                            | 32.2B   | 23.5 GB   | 40.4 GB   | 75.1 GB   |
| [Olmo-3.1-32B-Think](https://whatcanirunai.vercel.app/models/olmo-3.1-32b-think/)allenai                                                  | 32.2B   | 23.5 GB   | 40.4 GB   | 75.1 GB   |
| [Olmo-3.1-32B-Instruct-DPO](https://whatcanirunai.vercel.app/models/olmo-3.1-32b-instruct-dpo/)allenai                                    | 32.2B   | 23.5 GB   | 40.4 GB   | 75.1 GB   |
| [OLMo-2-0325-32B-Instruct](https://whatcanirunai.vercel.app/models/olmo-2-0325-32b-instruct/)allenai                                      | 32.2B   | 23.5 GB   | 40.4 GB   | 75.1 GB   |
| [OLMo-2-0325-32B](https://whatcanirunai.vercel.app/models/olmo-2-0325-32b/)allenai                                                        | 32.2B   | 23.5 GB   | 40.4 GB   | 75.1 GB   |
| [GLM-Z1-32B-0414](https://whatcanirunai.vercel.app/models/glm-z1-32b-0414/)zai-org                                                        | 32.6B   | 23.7 GB   | 40.8 GB   | 75.9 GB   |
| [GLM-4-32B-0414](https://whatcanirunai.vercel.app/models/glm-4-32b-0414/)zai-org                                                          | 32.6B   | 23.7 GB   | 40.8 GB   | 75.9 GB   |
| [Qwen3-32B](https://whatcanirunai.vercel.app/models/qwen3-32b/)Qwen                                                                       | 32.8B   | 23.8 GB   | 41.0 GB   | 76.4 GB   |
| [Qwen2.5-Coder-32B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-coder-32b-instruct/)Qwen                                     | 32.8B   | 23.8 GB   | 41.0 GB   | 76.4 GB   |
| [DeepSeek-R1-Distill-Qwen-32B](https://whatcanirunai.vercel.app/models/deepseek-r1-distill-qwen-32b/)deepseek-ai                          | 32.8B   | 23.8 GB   | 41.0 GB   | 76.4 GB   |
| [Qwen2.5-32B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-32b-instruct/)Qwen                                                 | 32.8B   | 23.8 GB   | 41.0 GB   | 76.4 GB   |
| [QwQ-32B](https://whatcanirunai.vercel.app/models/qwq-32b/)Qwen                                                                           | 32.8B   | 23.8 GB   | 41.0 GB   | 76.4 GB   |
| [QwQ-32B-Preview](https://whatcanirunai.vercel.app/models/qwq-32b-preview/)Qwen                                                           | 32.8B   | 23.8 GB   | 41.0 GB   | 76.4 GB   |
| [Qwen2.5-32B](https://whatcanirunai.vercel.app/models/qwen2.5-32b/)Qwen                                                                   | 32.8B   | 23.8 GB   | 41.0 GB   | 76.4 GB   |
| [Qwen2.5-Coder-32B](https://whatcanirunai.vercel.app/models/qwen2.5-coder-32b/)Qwen                                                       | 32.8B   | 23.8 GB   | 41.0 GB   | 76.4 GB   |
| [Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16](https://whatcanirunai.vercel.app/models/nemotron-3-nano-omni-30b-a3b-reasoning-bf16/)nvidia | 33.0B   | 24.0 GB   | 41.3 GB   | 76.9 GB   |
| [Nanbeige4.3-33B](https://whatcanirunai.vercel.app/models/nanbeige4.3-33b/)Nanbeige                                                       | 33.1B   | 24.1 GB   | 41.5 GB   | 77.2 GB   |
| [GLM-Z1-Rumination-32B-0414](https://whatcanirunai.vercel.app/models/glm-z1-rumination-32b-0414/)zai-org                                  | 33.1B   | 24.1 GB   | 41.5 GB   | 77.2 GB   |
| [FlexOlmo-7x7B-1T](https://whatcanirunai.vercel.app/models/flexolmo-7x7b-1t/)allenai                                                      | 33.3B   | 24.2 GB   | 41.7 GB   | 77.5 GB   |
| [HyperCLOVAX-SEED-Think-32B](https://whatcanirunai.vercel.app/models/hyperclovax-seed-think-32b/)naver-hyperclovax                        | 33.3B   | 24.2 GB   | 41.7 GB   | 77.6 GB   |
| [Qwen3-VL-32B-Instruct](https://whatcanirunai.vercel.app/models/qwen3-vl-32b-instruct/)Qwen                                               | 33.4B   | 24.3 GB   | 41.8 GB   | 77.7 GB   |
| [Laguna-XS.2](https://whatcanirunai.vercel.app/models/laguna-xs.2/)poolside                                                               | 33.4B   | 24.3 GB   | 41.9 GB   | 77.9 GB   |
| [Qwen2.5-VL-32B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-vl-32b-instruct/)Qwen                                           | 33.5B   | 24.3 GB   | 41.9 GB   | 77.9 GB   |
| [Falcon-H1-34B-Instruct](https://whatcanirunai.vercel.app/models/falcon-h1-34b-instruct/)tiiuae                                           | 33.6B   | 24.5 GB   | 42.1 GB   | 78.4 GB   |
| [EXAONE-4.5-33B](https://whatcanirunai.vercel.app/models/exaone-4.5-33b/)LGAI-EXAONE                                                      | 34.4B   | 24.9 GB   | 43.0 GB   | 80.0 GB   |
| [Qwen-AgentWorld-35B-A3B](https://whatcanirunai.vercel.app/models/qwen-agentworld-35b-a3b/)Qwen                                           | 34.7B   | 25.2 GB   | 43.4 GB   | 80.7 GB   |
| [KAT-Coder-V2.5-Dev](https://whatcanirunai.vercel.app/models/kat-coder-v2.5-dev/)Kwaipilot                                                | 34.7B   | 25.2 GB   | 43.4 GB   | 80.7 GB   |
| [Clover-35B-A3B-Preview](https://whatcanirunai.vercel.app/models/clover-35b-a3b-preview/)Diffuspace                                       | 34.7B   | 25.2 GB   | 43.4 GB   | 80.7 GB   |
| [Agents-A1](https://whatcanirunai.vercel.app/models/agents-a1/)InternScience                                                              | 35.1B   | 25.5 GB   | 43.9 GB   | 81.7 GB   |
| [Nex-N2.5-mini](https://whatcanirunai.vercel.app/models/nex-n2.5-mini/)nex-agi                                                            | 35.1B   | 25.5 GB   | 43.9 GB   | 81.7 GB   |
| [Nex-N2-mini](https://whatcanirunai.vercel.app/models/nex-n2-mini/)nex-agi                                                                | 35.1B   | 25.5 GB   | 43.9 GB   | 81.7 GB   |
| [Axion-1.0-35B](https://whatcanirunai.vercel.app/models/axion-1.0-35b/)Axion1-0                                                           | 35.1B   | 25.5 GB   | 43.9 GB   | 81.7 GB   |
| [NorthCUA-Mini](https://whatcanirunai.vercel.app/models/northcua-mini/)beipo-ai                                                           | 35.1B   | 25.5 GB   | 43.9 GB   | 81.7 GB   |
| [MemT-1.0-Nano](https://whatcanirunai.vercel.app/models/memt-1.0-nano/)MemTensor                                                          | 35.1B   | 25.5 GB   | 43.9 GB   | 81.8 GB   |
| [MiniCPM-V-4.7-35B-A3B](https://whatcanirunai.vercel.app/models/minicpm-v-4.7-35b-a3b/)openbmb                                            | 35.2B   | 25.5 GB   | 44.0 GB   | 82.0 GB   |
| [Ornith-1.5-35B-A3B](https://whatcanirunai.vercel.app/models/ornith-1.5-35b-a3b/)ornith-ai                                                | 36.0B   | 26.1 GB   | 44.9 GB   | 83.7 GB   |
| [Sage-A1.5](https://whatcanirunai.vercel.app/models/sage-a1.5/)InternScience                                                              | 36.0B   | 26.1 GB   | 44.9 GB   | 83.7 GB   |
| [Qwen3.6-35B-A3B](https://whatcanirunai.vercel.app/models/qwen3.6-35b-a3b/)Qwen                                                           | 36.0B   | 26.1 GB   | 44.9 GB   | 83.7 GB   |
| [Qwen3.5-35B-A3B](https://whatcanirunai.vercel.app/models/qwen3.5-35b-a3b/)Qwen                                                           | 36.0B   | 26.1 GB   | 44.9 GB   | 83.7 GB   |
| [Apex-35B-V1.0](https://whatcanirunai.vercel.app/models/apex-35b-v1.0/)Apexintelligence-AI                                                | 36.0B   | 26.1 GB   | 44.9 GB   | 83.7 GB   |
| [Intern-S2-Preview](https://whatcanirunai.vercel.app/models/intern-s2-preview/)internlm                                                   | 36.1B   | 26.2 GB   | 45.1 GB   | 84.0 GB   |
| [Seed-OSS-36B-Instruct](https://whatcanirunai.vercel.app/models/seed-oss-36b-instruct/)ByteDance-Seed                                     | 36.2B   | 26.2 GB   | 45.2 GB   | 84.1 GB   |
| [Seed-OSS-36B-Base-woSyn](https://whatcanirunai.vercel.app/models/seed-oss-36b-base-wosyn/)ByteDance-Seed                                 | 36.2B   | 26.2 GB   | 45.2 GB   | 84.1 GB   |
| [K2-Horizon-MoVA-36B-A4B](https://whatcanirunai.vercel.app/models/k2-horizon-mova-36b-a4b/)IFM                                            | 37.4B   | 27.1 GB   | 46.8 GB   | 87.1 GB   |
| [Recursive Flint](https://whatcanirunai.vercel.app/models/flint/)RecursiveSI                                                              | 39.8B   | 28.7 GB   | 49.6 GB   | 92.5 GB   |
| [IQuest-Coder-V1-40B-Instruct](https://whatcanirunai.vercel.app/models/iquest-coder-v1-40b-instruct/)IQuestLab                            | 39.8B   | 28.7 GB   | 49.6 GB   | 92.5 GB   |
| [IQuest-Coder-V1-40B-Loop-Instruct](https://whatcanirunai.vercel.app/models/iquest-coder-v1-40b-loop-instruct/)IQuestLab                  | 39.8B   | 28.7 GB   | 49.6 GB   | 92.5 GB   |
| [ALIA-40b](https://whatcanirunai.vercel.app/models/alia-40b/)BSC-LT                                                                       | 40.4B   | 29.2 GB   | 50.4 GB   | 94.0 GB   |
| [Phi-3.5-MoE-instruct](https://whatcanirunai.vercel.app/models/phi-3.5-moe-instruct/)microsoft                                            | 41.9B   | 30.2 GB   | 52.2 GB   | 97.3 GB   |
| [GRIN-MoE](https://whatcanirunai.vercel.app/models/grin-moe/)microsoft                                                                    | 41.9B   | 30.2 GB   | 52.2 GB   | 97.3 GB   |
| [Llama-3\_3-Nemotron-Super-49B-v1\_5](https://whatcanirunai.vercel.app/models/llama-3-3-nemotron-super-49b-v1-5/)nvidia                   | 49.9B   | 35.8 GB   | 61.9 GB   | 115.7 GB  |
| [Llama-3\_3-Nemotron-Super-49B-v1](https://whatcanirunai.vercel.app/models/llama-3-3-nemotron-super-49b-v1/)nvidia                        | 49.9B   | 35.8 GB   | 61.9 GB   | 115.7 GB  |
| [Llama-3\_1-Nemotron-51B-Instruct](https://whatcanirunai.vercel.app/models/llama-3-1-nemotron-51b-instruct/)nvidia                        | 51.5B   | 36.9 GB   | 63.9 GB   | 119.5 GB  |
| [AI21-Jamba2-Mini](https://whatcanirunai.vercel.app/models/ai21-jamba2-mini/)ai21labs                                                     | 51.6B   | 37.0 GB   | 64.0 GB   | 119.6 GB  |
| [LongCat-Flash-Lite](https://whatcanirunai.vercel.app/models/longcat-flash-lite/)meituan-longcat                                          | 69.1B   | 49.2 GB   | 85.4 GB   | 159.9 GB  |
| [Llama-3.3-70B-Instruct](https://whatcanirunai.vercel.app/models/llama-3.3-70b-instruct/)meta-llama                                       | 70.6B   | 50.2 GB   | 87.2 GB   | 163.3 GB  |
| [DeepSeek-R1-Distill-Llama-70B](https://whatcanirunai.vercel.app/models/deepseek-r1-distill-llama-70b/)deepseek-ai                        | 70.6B   | 50.2 GB   | 87.2 GB   | 163.3 GB  |
| [Llama-3.1-70B](https://whatcanirunai.vercel.app/models/llama-3.1-70b/)meta-llama                                                         | 70.6B   | 50.2 GB   | 87.2 GB   | 163.3 GB  |
| [Hermes-2-Theta-Llama-3-70B](https://whatcanirunai.vercel.app/models/hermes-2-theta-llama-3-70b/)NousResearch                             | 70.6B   | 50.2 GB   | 87.2 GB   | 163.3 GB  |
| [Meta-Llama-3.1-70B-Instruct](https://whatcanirunai.vercel.app/models/meta-llama-3.1-70b-instruct/)NousResearch                           | 70.6B   | 50.2 GB   | 87.2 GB   | 163.3 GB  |
| [Apertus-70B-Instruct-2509](https://whatcanirunai.vercel.app/models/apertus-70b-instruct-2509/)swiss-ai                                   | 70.6B   | 50.2 GB   | 87.3 GB   | 163.4 GB  |
| [Apertus-70B-2509](https://whatcanirunai.vercel.app/models/apertus-70b-2509/)swiss-ai                                                     | 70.6B   | 50.2 GB   | 87.3 GB   | 163.4 GB  |
| [Qwen2.5-72B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-72b-instruct/)Qwen                                                 | 72.7B   | 51.7 GB   | 89.8 GB   | 168.2 GB  |
| [UI-TARS-72B-DPO](https://whatcanirunai.vercel.app/models/ui-tars-72b-dpo/)ByteDance-Seed                                                 | 73.4B   | 52.2 GB   | 90.7 GB   | 169.8 GB  |
| [Qwen2.5-VL-72B-Instruct](https://whatcanirunai.vercel.app/models/qwen2.5-vl-72b-instruct/)Qwen                                           | 73.4B   | 52.2 GB   | 90.7 GB   | 169.8 GB  |
| [Kolibri-1](https://whatcanirunai.vercel.app/models/kolibri-1/)Aleph-Alpha                                                                | 78.1B   | 55.5 GB   | 96.4 GB   | 180.6 GB  |
| [Qwen3-Coder-Next](https://whatcanirunai.vercel.app/models/qwen3-coder-next/)Qwen                                                         | 79.7B   | 56.5 GB   | 98.4 GB   | 184.3 GB  |
| [Hunyuan-A13B-Instruct](https://whatcanirunai.vercel.app/models/hunyuan-a13b-instruct/)tencent                                            | 80.4B   | 57.0 GB   | 99.2 GB   | 185.9 GB  |
| [AliceAI-Foundation-80B-A3B-Base](https://whatcanirunai.vercel.app/models/aliceai-foundation-80b-a3b-base/)yandex                         | 81.3B   | 57.7 GB   | 100.3 GB  | 188.0 GB  |
| [Qwen3-Next-80B-A3B-Instruct](https://whatcanirunai.vercel.app/models/qwen3-next-80b-a3b-instruct/)Qwen                                   | 81.3B   | 57.7 GB   | 100.4 GB  | 188.0 GB  |
| [Qwen3-Next-80B-A3B-Thinking](https://whatcanirunai.vercel.app/models/qwen3-next-80b-a3b-thinking/)Qwen                                   | 81.3B   | 57.7 GB   | 100.4 GB  | 188.0 GB  |
| [Solar-Open-100B](https://whatcanirunai.vercel.app/models/solar-open-100b/)upstage                                                        | 102.7B  | 72.6 GB   | 126.4 GB  | 237.1 GB  |
| [Ling-flash-2.0](https://whatcanirunai.vercel.app/models/ling-flash-2.0/)inclusionAI                                                      | 102.9B  | 72.7 GB   | 126.7 GB  | 237.6 GB  |
| [LLaDA2.1-flash](https://whatcanirunai.vercel.app/models/llada2.1-flash/)inclusionAI                                                      | 102.9B  | 72.7 GB   | 126.7 GB  | 237.6 GB  |
| [Ring-flash-2.0](https://whatcanirunai.vercel.app/models/ring-flash-2.0/)inclusionAI                                                      | 102.9B  | 72.7 GB   | 126.7 GB  | 237.6 GB  |
| [LLaDA2.2-flash](https://whatcanirunai.vercel.app/models/llada2.2-flash/)inclusionAI                                                      | 102.9B  | 72.7 GB   | 126.7 GB  | 237.6 GB  |
| [sarvam-105b](https://whatcanirunai.vercel.app/models/sarvam-105b/)sarvamai                                                               | 106.0B  | 74.9 GB   | 130.6 GB  | 244.9 GB  |
| [Ling-2.6-flash](https://whatcanirunai.vercel.app/models/ling-2.6-flash/)inclusionAI                                                      | 107.5B  | 75.9 GB   | 132.3 GB  | 248.2 GB  |
| [GLM-4.5V](https://whatcanirunai.vercel.app/models/glm-4.5v/)zai-org                                                                      | 107.7B  | 76.1 GB   | 132.6 GB  | 248.7 GB  |
| [GLM-4.6V](https://whatcanirunai.vercel.app/models/glm-4.6v/)zai-org                                                                      | 107.7B  | 76.1 GB   | 132.6 GB  | 248.7 GB  |
| [Llama-4-Scout-17B-16E-Instruct](https://whatcanirunai.vercel.app/models/llama-4-scout-17b-16e-instruct/)meta-llama                       | 108.6B  | 76.7 GB   | 133.7 GB  | 250.9 GB  |
| [Llama-4-Scout-17B-16E](https://whatcanirunai.vercel.app/models/llama-4-scout-17b-16e/)meta-llama                                         | 108.6B  | 76.7 GB   | 133.7 GB  | 250.9 GB  |
| [GLM-4.5-Air](https://whatcanirunai.vercel.app/models/glm-4.5-air/)zai-org                                                                | 110.5B  | 78.0 GB   | 136.0 GB  | 255.1 GB  |
| [c4ai-command-a-03-2025](https://whatcanirunai.vercel.app/models/c4ai-command-a-03-2025/)CohereLabs                                       | 111.1B  | 78.4 GB   | 136.7 GB  | 256.4 GB  |
| [gpt-oss-120b](https://whatcanirunai.vercel.app/models/gpt-oss-120b/)openai                                                               | 116.8B  | 82.5 GB   | 143.8 GB  | 269.7 GB  |
| [Laguna-S-2.1](https://whatcanirunai.vercel.app/models/laguna-s-2.1/)poolside                                                             | 117.6B  | 83.0 GB   | 144.6 GB  | 271.4 GB  |
| [Youtu-LLM-A7B-Base](https://whatcanirunai.vercel.app/models/youtu-llm-a7b-base/)tencent                                                  | 118.4B  | 83.5 GB   | 145.7 GB  | 273.3 GB  |
| [Mistral-Small-4-119B-2603](https://whatcanirunai.vercel.app/models/mistral-small-4-119b-2603/)mistralai                                  | 119.4B  | 84.2 GB   | 146.9 GB  | 275.6 GB  |
| [NVIDIA-Nemotron-3-Super-120B-A12B-BF16](https://whatcanirunai.vercel.app/models/nvidia-nemotron-3-super-120b-a12b-bf16/)nvidia           | 123.6B  | 87.2 GB   | 152.0 GB  | 285.3 GB  |
| [Ling-3.0-flash-VL](https://whatcanirunai.vercel.app/models/ling-3.0-flash-vl/)inclusionAI                                                | 124.8B  | 88.0 GB   | 153.5 GB  | 288.2 GB  |
| [Devstral-2-123B-Instruct-2512](https://whatcanirunai.vercel.app/models/devstral-2-123b-instruct-2512/)mistralai                          | 125.0B  | 88.2 GB   | 153.8 GB  | 288.6 GB  |
| [Ornith-1.5-122B](https://whatcanirunai.vercel.app/models/ornith-1.5-122b/)ornith-ai                                                      | 125.1B  | 88.2 GB   | 153.8 GB  | 288.7 GB  |
| [Qwen3.5-122B-A10B](https://whatcanirunai.vercel.app/models/qwen3.5-122b-a10b/)Qwen                                                       | 125.1B  | 88.2 GB   | 153.8 GB  | 288.7 GB  |
| [Ling-3.0-flash-Sante](https://whatcanirunai.vercel.app/models/ling-3.0-flash-sante/)inclusionAI                                          | 127.5B  | 89.9 GB   | 156.8 GB  | 294.2 GB  |
| [Ling-3.0-flash](https://whatcanirunai.vercel.app/models/ling-3.0-flash/)inclusionAI                                                      | 127.5B  | 89.9 GB   | 156.8 GB  | 294.2 GB  |
| [Ling-3.0-flash-Fin](https://whatcanirunai.vercel.app/models/ling-3.0-flash-fin/)inclusionAI                                              | 127.5B  | 89.9 GB   | 156.8 GB  | 294.2 GB  |
| [Mixtral-8x22B-Instruct-v0.1](https://whatcanirunai.vercel.app/models/mixtral-8x22b-instruct-v0.1/)mistralai                              | 140.6B  | 99.0 GB   | 172.8 GB  | 324.4 GB  |
| [Qwen3.8-Flash-Next](https://whatcanirunai.vercel.app/models/qwen3.8-flash-next/)Qwen                                                     | 180.0B  | 126.5 GB  | 220.9 GB  | 415.0 GB  |
| [Step-3.5-Flash-Base-Midtrain](https://whatcanirunai.vercel.app/models/step-3.5-flash-base-midtrain/)stepfun-ai                           | 197.8B  | 138.9 GB  | 242.6 GB  | 455.9 GB  |
| [Step-3.5-Flash](https://whatcanirunai.vercel.app/models/step-3.5-flash/)stepfun-ai                                                       | 199.4B  | 140.0 GB  | 244.6 GB  | 459.6 GB  |
| [Step-3.7-Flash](https://whatcanirunai.vercel.app/models/step-3.7-flash/)stepfun-ai                                                       | 201.4B  | 141.4 GB  | 247.0 GB  | 464.1 GB  |
| [command-a-plus-05-2026-bf16](https://whatcanirunai.vercel.app/models/command-a-plus-05-2026-bf16/)CohereLabs                             | 218.8B  | 153.5 GB  | 268.3 GB  | 504.1 GB  |
| [MiniMax-M2](https://whatcanirunai.vercel.app/models/minimax-m2/)MiniMaxAI                                                                | 228.7B  | 160.4 GB  | 280.4 GB  | 527.0 GB  |
| [MiniMax-M2.5](https://whatcanirunai.vercel.app/models/minimax-m2.5/)MiniMaxAI                                                            | 228.7B  | 160.4 GB  | 280.4 GB  | 527.0 GB  |
| [MiniMax-M2.7](https://whatcanirunai.vercel.app/models/minimax-m2.7/)MiniMaxAI                                                            | 228.7B  | 160.4 GB  | 280.4 GB  | 527.0 GB  |
| [MiniMax-M2.1](https://whatcanirunai.vercel.app/models/minimax-m2.1/)MiniMaxAI                                                            | 228.7B  | 160.4 GB  | 280.4 GB  | 527.0 GB  |
| [Qwen3-235B-A22B](https://whatcanirunai.vercel.app/models/qwen3-235b-a22b/)Qwen                                                           | 235.1B  | 164.9 GB  | 288.3 GB  | 541.7 GB  |
| [Qwen3-235B-A22B-Instruct-2507](https://whatcanirunai.vercel.app/models/qwen3-235b-a22b-instruct-2507/)Qwen                               | 235.1B  | 164.9 GB  | 288.3 GB  | 541.7 GB  |
| [Qwen3-235B-A22B-Thinking-2507](https://whatcanirunai.vercel.app/models/qwen3-235b-a22b-thinking-2507/)Qwen                               | 235.1B  | 164.9 GB  | 288.3 GB  | 541.7 GB  |
| [Qwen3-VL-235B-A22B-Instruct](https://whatcanirunai.vercel.app/models/qwen3-vl-235b-a22b-instruct/)Qwen                                   | 235.7B  | 165.3 GB  | 289.0 GB  | 543.0 GB  |
| [DeepSeek-V2.5](https://whatcanirunai.vercel.app/models/deepseek-v2.5/)deepseek-ai                                                        | 235.7B  | 165.4 GB  | 289.0 GB  | 543.2 GB  |
| [DeepSeek-Coder-V2-Instruct](https://whatcanirunai.vercel.app/models/deepseek-coder-v2-instruct/)deepseek-ai                              | 235.7B  | 165.4 GB  | 289.0 GB  | 543.2 GB  |
| [DeepSeek-V2.5-1210](https://whatcanirunai.vercel.app/models/deepseek-v2.5-1210/)deepseek-ai                                              | 235.7B  | 165.4 GB  | 289.0 GB  | 543.2 GB  |
| [DeepSeek-V2-Chat-0628](https://whatcanirunai.vercel.app/models/deepseek-v2-chat-0628/)deepseek-ai                                        | 235.7B  | 165.4 GB  | 289.0 GB  | 543.2 GB  |
| [DeepSeek-Coder-V2-Instruct-0724](https://whatcanirunai.vercel.app/models/deepseek-coder-v2-instruct-0724/)deepseek-ai                    | 235.7B  | 165.4 GB  | 289.0 GB  | 543.2 GB  |
| [K-EXAONE-236B-A23B](https://whatcanirunai.vercel.app/models/k-exaone-236b-a23b/)LGAI-EXAONE                                              | 237.1B  | 166.3 GB  | 290.7 GB  | 546.3 GB  |
| [Intern-S1](https://whatcanirunai.vercel.app/models/intern-s1/)internlm                                                                   | 240.7B  | 168.8 GB  | 295.1 GB  | 554.6 GB  |
| [Solar-Open2-250B](https://whatcanirunai.vercel.app/models/solar-open2-250b/)upstage                                                      | 250.3B  | 175.5 GB  | 306.8 GB  | 576.7 GB  |
| [Llama-3\_1-Nemotron-Ultra-253B-v1](https://whatcanirunai.vercel.app/models/llama-3-1-nemotron-ultra-253b-v1/)nvidia                      | 253.4B  | 177.7 GB  | 310.6 GB  | 583.8 GB  |
| [Inkling-Small](https://whatcanirunai.vercel.app/models/inkling-small/)thinkingmachines                                                   | 266.0B  | 186.4 GB  | 326.0 GB  | 612.7 GB  |
| [ERNIE-5.5-Flash-Base](https://whatcanirunai.vercel.app/models/ernie-5.5-flash-base/)baidu                                                | 286.2B  | 200.6 GB  | 350.8 GB  | 659.4 GB  |
| [MemT-1.0-Flash](https://whatcanirunai.vercel.app/models/memt-1.0-flash/)MemTensor                                                        | 287.9B  | 201.8 GB  | 352.8 GB  | 663.3 GB  |
| [DeepSeek-V4-Flash](https://whatcanirunai.vercel.app/models/deepseek-v4-flash/)deepseek-ai                                                | 290.9B  | 203.8 GB  | 356.5 GB  | 670.2 GB  |
| [Ling-plus](https://whatcanirunai.vercel.app/models/ling-plus/)inclusionAI                                                                | 292.5B  | 205.0 GB  | 358.4 GB  | 673.8 GB  |
| [Hy3](https://whatcanirunai.vercel.app/models/hy3/)tencent                                                                                | 298.8B  | 209.3 GB  | 366.1 GB  | 688.2 GB  |
| [Hy3-preview](https://whatcanirunai.vercel.app/models/hy3-preview/)tencent                                                                | 298.8B  | 209.3 GB  | 366.1 GB  | 688.2 GB  |
| [ERNIE-4.5-300B-A47B-PT](https://whatcanirunai.vercel.app/models/ernie-4.5-300b-a47b-pt/)baidu                                            | 300.5B  | 210.5 GB  | 368.1 GB  | 692.1 GB  |
| [DeepSeek-V4-Flash-0731](https://whatcanirunai.vercel.app/models/deepseek-v4-flash-0731/)deepseek-ai                                      | 304.2B  | 213.1 GB  | 372.7 GB  | 700.6 GB  |
| [DeepSeek-V4-Flash-Vision-Exp](https://whatcanirunai.vercel.app/models/deepseek-v4-flash-vision-exp/)deepseek-ai                          | 304.6B  | 213.4 GB  | 373.2 GB  | 701.7 GB  |
| [MiMo-V2-Flash](https://whatcanirunai.vercel.app/models/mimo-v2-flash/)XiaomiMiMo                                                         | 309.8B  | 217.0 GB  | 379.5 GB  | 713.5 GB  |
| [MiMo-V2.5](https://whatcanirunai.vercel.app/models/mimo-v2.5/)XiaomiMiMo                                                                 | 310.8B  | 217.7 GB  | 380.7 GB  | 715.7 GB  |
| [MiMo-V2.6-Flash-RL](https://whatcanirunai.vercel.app/models/mimo-v2.6-flash-rl/)XiaomiMiMo                                               | 310.8B  | 217.7 GB  | 380.7 GB  | 715.7 GB  |
| [MiMo-V2.6-Flash-MOPD](https://whatcanirunai.vercel.app/models/mimo-v2.6-flash-mopd/)XiaomiMiMo                                           | 310.8B  | 217.7 GB  | 380.7 GB  | 715.7 GB  |
| [Motif-3](https://whatcanirunai.vercel.app/models/motif-3/)Motif-Technologies                                                             | 314.8B  | 220.5 GB  | 385.7 GB  | 725.1 GB  |
| [GLM-5.3-Flash](https://whatcanirunai.vercel.app/models/glm-5.3-flash/)zai-org                                                            | 321.3B  | 225.0 GB  | 393.6 GB  | 740.0 GB  |
| [GLM-4.6](https://whatcanirunai.vercel.app/models/glm-4.6/)zai-org                                                                        | 356.8B  | 249.7 GB  | 436.9 GB  | 821.6 GB  |
| [GLM-4.5](https://whatcanirunai.vercel.app/models/glm-4.5/)zai-org                                                                        | 358.3B  | 250.8 GB  | 438.8 GB  | 825.2 GB  |
| [GLM-4.7](https://whatcanirunai.vercel.app/models/glm-4.7/)zai-org                                                                        | 358.3B  | 250.8 GB  | 438.8 GB  | 825.2 GB  |
| [Nex-N2.5-Pro](https://whatcanirunai.vercel.app/models/nex-n2.5-pro/)nex-agi                                                              | 396.8B  | 277.6 GB  | 485.8 GB  | 913.6 GB  |
| [Nex-N2-Pro](https://whatcanirunai.vercel.app/models/nex-n2-pro/)nex-agi                                                                  | 396.8B  | 277.6 GB  | 485.8 GB  | 913.6 GB  |
| [NorthCUA-Pro](https://whatcanirunai.vercel.app/models/northcua-pro/)beipo-ai                                                             | 396.8B  | 277.6 GB  | 485.8 GB  | 913.6 GB  |
| [Trinity-Large-Thinking](https://whatcanirunai.vercel.app/models/trinity-large-thinking/)arcee-ai                                         | 398.6B  | 278.9 GB  | 488.1 GB  | 917.9 GB  |
| [Trinity-Large-Preview](https://whatcanirunai.vercel.app/models/trinity-large-preview/)arcee-ai                                           | 398.6B  | 278.9 GB  | 488.1 GB  | 917.9 GB  |
| [Trinity-Large-TrueBase](https://whatcanirunai.vercel.app/models/trinity-large-truebase/)arcee-ai                                         | 398.6B  | 278.9 GB  | 488.1 GB  | 917.9 GB  |
| [Trinity-Large-Base](https://whatcanirunai.vercel.app/models/trinity-large-base/)arcee-ai                                                 | 398.6B  | 278.9 GB  | 488.1 GB  | 917.9 GB  |
| [Llama-4-Maverick-17B-128E-Instruct](https://whatcanirunai.vercel.app/models/llama-4-maverick-17b-128e-instruct/)meta-llama               | 401.6B  | 281.0 GB  | 491.7 GB  | 924.6 GB  |
| [Qwen3.5-397B-A17B](https://whatcanirunai.vercel.app/models/qwen3.5-397b-a17b/)Qwen                                                       | 403.4B  | 282.2 GB  | 493.9 GB  | 928.8 GB  |
| [Intern-S2-397B](https://whatcanirunai.vercel.app/models/intern-s2-397b/)internlm                                                         | 403.4B  | 282.3 GB  | 493.9 GB  | 928.9 GB  |
| [ERNIE-4.5-VL-424B-A47B-PT](https://whatcanirunai.vercel.app/models/ernie-4.5-vl-424b-a47b-pt/)baidu                                      | 423.5B  | 296.3 GB  | 518.5 GB  | 975.1 GB  |
| [MiniMax-M3](https://whatcanirunai.vercel.app/models/minimax-m3/)MiniMaxAI                                                                | 427.0B  | 298.7 GB  | 522.8 GB  | 983.2 GB  |
| [MiniMax-M1-40k](https://whatcanirunai.vercel.app/models/minimax-m1-40k/)MiniMaxAI                                                        | 456.1B  | 319.0 GB  | 558.3 GB  | 1050.0 GB |
| [MiniMax-M1-80k](https://whatcanirunai.vercel.app/models/minimax-m1-80k/)MiniMaxAI                                                        | 456.1B  | 319.0 GB  | 558.3 GB  | 1050.0 GB |
| [Qwen3-Coder-480B-A35B-Instruct](https://whatcanirunai.vercel.app/models/qwen3-coder-480b-a35b-instruct/)Qwen                             | 480.2B  | 335.8 GB  | 587.7 GB  | 1105.4 GB |
| [Beam-1.0-501B-A23B](https://whatcanirunai.vercel.app/models/beam-1.0-501b-a23b/)reflection                                               | 501.3B  | 350.5 GB  | 613.5 GB  | 1153.9 GB |
| [NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16](https://whatcanirunai.vercel.app/models/nvidia-nemotron-3-ultra-550b-a55b-bf16/)nvidia           | 560.5B  | 391.8 GB  | 685.9 GB  | 1290.2 GB |
| [LongCat-Flash-Chat](https://whatcanirunai.vercel.app/models/longcat-flash-chat/)meituan-longcat                                          | 561.9B  | 392.7 GB  | 687.5 GB  | 1293.3 GB |
| [LongCat-Flash-Thinking](https://whatcanirunai.vercel.app/models/longcat-flash-thinking/)meituan-longcat                                  | 561.9B  | 392.7 GB  | 687.5 GB  | 1293.3 GB |
| [LongCat-Flash-Thinking-2601](https://whatcanirunai.vercel.app/models/longcat-flash-thinking-2601/)meituan-longcat                        | 561.9B  | 392.7 GB  | 687.5 GB  | 1293.3 GB |
| [Ling-3.1-flash](https://whatcanirunai.vercel.app/models/ling-3.1-flash/)inclusionAI                                                      | 572.1B  | 399.9 GB  | 700.1 GB  | 1316.9 GB |
| [Ling-3.1-flash-1019](https://whatcanirunai.vercel.app/models/ling-3.1-flash-1019/)inclusionAI                                            | 572.1B  | 399.9 GB  | 700.1 GB  | 1316.9 GB |
| [Step-5-Preview](https://whatcanirunai.vercel.app/models/step-5-preview/)stepfun-ai                                                       | 604.3B  | 422.3 GB  | 739.4 GB  | 1391.0 GB |
| [DeepSeek-R1](https://whatcanirunai.vercel.app/models/deepseek-r1/)deepseek-ai                                                            | 684.5B  | 478.2 GB  | 837.4 GB  | 1575.3 GB |
| [DeepSeek-R1-Zero](https://whatcanirunai.vercel.app/models/deepseek-r1-zero/)deepseek-ai                                                  | 684.5B  | 478.2 GB  | 837.4 GB  | 1575.3 GB |
| [DeepSeek-V3-0324](https://whatcanirunai.vercel.app/models/deepseek-v3-0324/)deepseek-ai                                                  | 684.5B  | 478.2 GB  | 837.4 GB  | 1575.4 GB |
| [DeepSeek-R1-0528](https://whatcanirunai.vercel.app/models/deepseek-r1-0528/)deepseek-ai                                                  | 684.5B  | 478.2 GB  | 837.4 GB  | 1575.4 GB |
| [DeepSeek-V3.1-Base](https://whatcanirunai.vercel.app/models/deepseek-v3.1-base/)deepseek-ai                                              | 684.5B  | 478.2 GB  | 837.4 GB  | 1575.4 GB |
| [DeepSeek-V3.2](https://whatcanirunai.vercel.app/models/deepseek-v3.2/)deepseek-ai                                                        | 685.4B  | 478.8 GB  | 838.4 GB  | 1577.3 GB |
| [DeepSeek-V3.2-Exp](https://whatcanirunai.vercel.app/models/deepseek-v3.2-exp/)deepseek-ai                                                | 685.4B  | 478.9 GB  | 838.5 GB  | 1577.4 GB |
| [DeepSeek-V3.2-Speciale](https://whatcanirunai.vercel.app/models/deepseek-v3.2-speciale/)deepseek-ai                                      | 685.4B  | 478.9 GB  | 838.5 GB  | 1577.4 GB |
| [K-EXAONE-2.0-750B-A37B](https://whatcanirunai.vercel.app/models/k-exaone-2.0-750b-a37b/)LGAI-EXAONE                                      | 749.4B  | 523.4 GB  | 916.6 GB  | 1724.5 GB |
| [GLM-5.3](https://whatcanirunai.vercel.app/models/glm-5.3/)zai-org                                                                        | 753.3B  | 526.2 GB  | 921.5 GB  | 1733.7 GB |
| [GLM-5.2](https://whatcanirunai.vercel.app/models/glm-5.2/)zai-org                                                                        | 753.3B  | 526.2 GB  | 921.5 GB  | 1733.7 GB |
| [GLM-5.3-BF16](https://whatcanirunai.vercel.app/models/glm-5.3-bf16/)zai-org                                                              | 753.3B  | 526.2 GB  | 921.5 GB  | 1733.7 GB |
| [GLM-5](https://whatcanirunai.vercel.app/models/glm-5/)zai-org                                                                            | 753.9B  | 526.6 GB  | 922.1 GB  | 1734.9 GB |
| [GLM-5.1](https://whatcanirunai.vercel.app/models/glm-5.1/)zai-org                                                                        | 753.9B  | 526.6 GB  | 922.1 GB  | 1734.9 GB |
| [Hy4-preview](https://whatcanirunai.vercel.app/models/hy4-preview/)tencent                                                                | 780.0B  | 544.8 GB  | 954.0 GB  | 1794.9 GB |
| [Muse-Spark-Open-816B-A42B](https://whatcanirunai.vercel.app/models/muse-spark-open-816b-a42b/)meta-models                                | 822.0B  | 574.1 GB  | 1005.4 GB | 1891.7 GB |
| [Intern-S1-Pro](https://whatcanirunai.vercel.app/models/intern-s1-pro/)internlm                                                           | 917.0B  | 640.4 GB  | 1121.5 GB | 2110.2 GB |
| [Inkling](https://whatcanirunai.vercel.app/models/inkling/)thinkingmachines                                                               | 952.4B  | 665.0 GB  | 1164.7 GB | 2191.5 GB |
| [Ling-1T](https://whatcanirunai.vercel.app/models/ling-1t/)inclusionAI                                                                    | 999.7B  | 698.0 GB  | 1222.5 GB | 2300.3 GB |
| [Ring-1T](https://whatcanirunai.vercel.app/models/ring-1t/)inclusionAI                                                                    | 999.7B  | 698.0 GB  | 1222.5 GB | 2300.3 GB |
| [Ring-2.5-1T](https://whatcanirunai.vercel.app/models/ring-2.5-1t/)inclusionAI                                                            | 1012.2B | 706.7 GB  | 1237.8 GB | 2329.1 GB |
| [Ling-2.5-1T](https://whatcanirunai.vercel.app/models/ling-2.5-1t/)inclusionAI                                                            | 1012.2B | 706.7 GB  | 1237.8 GB | 2329.1 GB |
| [MiMo-V2.5-Pro](https://whatcanirunai.vercel.app/models/mimo-v2.5-pro/)XiaomiMiMo                                                         | 1023.2B | 714.4 GB  | 1251.2 GB | 2354.3 GB |
| [MiMo-V2.6-Pro-RL](https://whatcanirunai.vercel.app/models/mimo-v2.6-pro-rl/)XiaomiMiMo                                                   | 1024.2B | 715.1 GB  | 1252.5 GB | 2356.7 GB |
| [MiMo-V2.6-Pro-MOPD](https://whatcanirunai.vercel.app/models/mimo-v2.6-pro-mopd/)XiaomiMiMo                                               | 1024.2B | 715.1 GB  | 1252.5 GB | 2356.7 GB |
| [Kimi-K2-Instruct](https://whatcanirunai.vercel.app/models/kimi-k2-instruct/)moonshotai                                                   | 1026.4B | 716.6 GB  | 1255.1 GB | 2361.7 GB |
| [Kimi-K2-Thinking](https://whatcanirunai.vercel.app/models/kimi-k2-thinking/)moonshotai                                                   | 1026.4B | 716.6 GB  | 1255.1 GB | 2361.7 GB |
| [Kimi-K2-Instruct-0905](https://whatcanirunai.vercel.app/models/kimi-k2-instruct-0905/)moonshotai                                         | 1026.4B | 716.6 GB  | 1255.1 GB | 2361.7 GB |
| [Kimi-K2.5](https://whatcanirunai.vercel.app/models/kimi-k2.5/)moonshotai                                                                 | 1026.9B | 716.9 GB  | 1255.7 GB | 2362.8 GB |
| [Kimi-K2.6](https://whatcanirunai.vercel.app/models/kimi-k2.6/)moonshotai                                                                 | 1026.9B | 716.9 GB  | 1255.7 GB | 2362.8 GB |
| [Kimi-K2.7-Code](https://whatcanirunai.vercel.app/models/kimi-k2.7-code/)moonshotai                                                       | 1026.9B | 716.9 GB  | 1255.7 GB | 2362.8 GB |
| [DeepSeek-V4-Pro](https://whatcanirunai.vercel.app/models/deepseek-v4-pro/)deepseek-ai                                                    | 1598.8B | 1115.7 GB | 1954.6 GB | 3678.3 GB |
| [DeepSeek-V4-Pro-0813](https://whatcanirunai.vercel.app/models/deepseek-v4-pro-0813/)deepseek-ai                                          | 1650.5B | 1151.7 GB | 2017.7 GB | 3797.1 GB |
| [LongCat-2.0](https://whatcanirunai.vercel.app/models/longcat-2.0/)meituan-longcat                                                        | 1775.6B | 1238.9 GB | 2170.5 GB | 4084.8 GB |
| [LongCat-2.5](https://whatcanirunai.vercel.app/models/longcat-2.5/)meituan-longcat                                                        | 1779.8B | 1241.8 GB | 2175.6 GB | 4094.4 GB |
| [Qwen3.8-2.4T-A95B](https://whatcanirunai.vercel.app/models/qwen3.8-2.4t-a95b/)Qwen                                                       | 2446.2B | 1706.4 GB | 2989.9 GB | 5627.2 GB |
| [Kimi-K3](https://whatcanirunai.vercel.app/models/kimi-k3/)moonshotai                                                                     | 2779.9B | 1939.1 GB | 3397.7 GB | 6394.8 GB |
| [Kimi-K3.1-Pro](https://whatcanirunai.vercel.app/models/kimi-k3.1-pro/)moonshotai                                                         | 2780.1B | 1939.3 GB | 3397.9 GB | 6395.3 GB |

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