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Mistral-Small-3.1-24B-Instruct-2503-4bit

mlx-community/Mistral-Small-3.1-24B-Instruct-2503-4bit
Uncategorised · vllm
4-bit Open on Hugging Face
Parameters
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Weights (est.)
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Mac memory (est.)
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Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.

Details

Base model
mistralai/Mistral-Small-3.1-24B-Base-2503 (finetune)
Vendor
Mistral
Task
Uncategorised
Quantisation
4-bit
Licence
apache-2.0
Downloads
1.5K in the last 30 days · 60K all time · 9 likes
Published
2025-03-19 · updated 2025-03-19 (1y ago)
Languages
en, fr, de, es, pt, it, ja, ko, ru, zh, ar, fa, id, ms, ne, pl, ro, sr, sv, tr, uk, vi, hi, bn
Tags
vllm, mistral3

Other MLX builds of mistralai/Mistral-Small-3.1-24B-Base-2503

Build Quantisation Weights Mac memory Downloads
Mistral-Small-3.1-24B-Instruct-2503-bf16 bf16 ≈ 48.0 GB 64 GB+ 58
Mistral-Small-3.1-24B-Instruct-2503-4bit (this one) 4-bit — — 1.5K
Mistral-Small-3.1-24B-Instruct-2503-8bit 8-bit — — 143
Mistral-Small-3.1-24B-Instruct-2503-3bit 3-bit — — 55
Mistral-Small-3.1-24B-Instruct-2503-6bit 6-bit — — 50