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Ministral-3-8B-Base-2512-6bit

mlx-community/Ministral-3-8B-Base-2512-6bit
6-bit Open on Hugging Face
Parameters
8.9B
Weights (est.)
≈ 8.4 GB
Mac memory (est.)
16 GB+

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.

Run it

With mlx-vlm on an Apple silicon Mac:

pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/Ministral-3-8B-Base-2512-6bit --image photo.jpg --prompt "Describe this image"

Details

Base model
mistralai/Ministral-3-8B-Base-2512 (quantized)
Vendor
Mistral
Task
Vision + text
Quantisation
6-bit
Licence
apache-2.0
Downloads
39 in the last 30 days · 223 all time · 0 likes
Published
2026-07-18 · updated 2026-07-18 (3mo ago)
Languages
en, fr, es, de, it, pt, nl, zh, ja, ko, ar
Tags
mistral3, mistral-common, ministral, ministral-3, vision-language, multimodal, quantized, edge, base-model

Other MLX builds of mistralai/Ministral-3-8B-Base-2512

Build Quantisation Weights Mac memory Downloads
Ministral-3-8B-Base-2512-4bit 4-bit ≈ 4.8 GB 8 GB+ 107
Ministral-3-8B-Base-2512-6bit (this one) 6-bit ≈ 8.4 GB 16 GB+ 39
Ministral-3-8B-Base-2512-8bit 8-bit ≈ 10.4 GB 16 GB+ 53
Ministral-3-8B-Base-2512-bf16 bf16 ≈ 17.8 GB 24 GB+ 53
Ministral-3-8B-Reasoning-2512-bf16 bf16 ≈ 17.8 GB 24 GB+ 34
Ministral-3-8B-Instruct-2512-4bit 4-bit — — 3.6K
Ministral-3-8B-Reasoning-2512-4bit 4-bit — — 223
Ministral-3-8B-Instruct-2512-8bit 8-bit — — 170
Ministral-3-8B-Instruct-2512-6bit 6-bit — — 128
Ministral-3-8B-Reasoning-2512-8bit 8-bit — — 71
Ministral-3-8B-Instruct-2512-bf16 bf16 — — 61
Ministral-3-8B-Reasoning-2512-6bit 6-bit — — 56
Ministral-3-8B-Instruct-2512-5bit 5-bit — — 48
Ministral-3-8B-Reasoning-2512-5bit 5-bit — — 42