Mistral Nemo 12B

llama.cpp · Q4_K_M · 7.5 GB

Mistral Nemo 12B Instruct, 4-bit GGUF on llama.cpp.

Chat in your browser, plus an OpenAI-compatible API.

Publishedllamacppgguf-q4_k_mLLM inference

Needs 11 GiB of GPU memory · Metal on Apple silicon

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Picked Apple M1 Pro (14-core GPU): the lowest price that fits. No speed data for these GPUs yet.

3 machines can run this now1× Apple M1 Pro (14-core GPU)Recommended$0.01/h16 GB unified · 12 GB for AI · 🇬🇧 United Kingdom · Dedicated · New hostNo spec data, matched on price1× Apple M4 Pro (20-core GPU)$0.115/h48 GB unified · 36 GB for AI · 🇷🇴 Romania · Dedicated · New hostNo spec data, matched on price1× Apple M5 Max (40-core GPU)$0.258/h48 GB unified · 37 GB for AI · 🇺🇸 United States · Dedicated · New hostNo spec data, matched on price

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Runs 1 h, then stops · holds $0.01 · incl. 10% fee

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Doesn't fit (1)

1× Apple M4 · New hostinsufficient VRAM: need 11811160064 bytes, device has 11452547072

Template details

Rating: No ratings yet
Runs: 0
Min VRAM: 12 GB
Backend: Metal on Apple silicon
Weights: 7.5 GB
Version: llamacpp-mistral-nemo-12b-v1.0.0
Image digest: 1f4b9cf58982…
Health check: SSH probe on the leased endpoint

We match GPUs on their measured runtime and dedicated VRAM. A hardware report doesn't qualify another vendor's backend.

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