Can I run maple-preview?

maple-preview needs about 15.1 GB of memory at Q4_K_M, and the cheapest GPU we track that holds it is the Radeon RX 7900 XT (20 GB, $899 list price). 28 of the 82 devices we track run it fully at Q4. These are estimates, not measured benchmarks.

20.2B parameters, by deepgrove. License: mit. Model card (params from HF API, retrieved 2026-11-04) · How much VRAM for 16B–21B models · Q4 vs Q8 vs FP16 · MoE: 1.0B active per token

Q4_K_M needs

15.1 GB 12.3 GB weights

Q8_0 needs

25.7 GB 21.5 GB weights

FP16 needs

47.5 GB 40.4 GB weights

28 of 82 tracked GPUs and Macs run it fully at Q4.

Memory by context length

Longer chats and documents need more memory for the KV cache. Only 6 of its 24 layers keep a cache that grows with context (18 use a 512-token sliding window), so it stays lean at long contexts. Sizes assume an FP16 KV cache; a Q8 cache roughly halves the cache part.

From the model's config.json (6 full-attention layers × 4 KV heads × 128 head size, retrieved 2026-11-04). Check the model card for its maximum supported context. Try other sizes in the VRAM calculator or compare models in our context length guide.

Which hardware runs it

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