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Devstral-2-123B-Instruct-2512-bf16

mlx-community/Devstral-2-123B-Instruct-2512-bf16
bf16 Open on Hugging Face
Parameters
125B
Weights (est.)
≈ 250 GB
Mac memory (est.)
512 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-lm on an Apple silicon Mac:

pip install mlx-lmmlx_lm.generate --model mlx-community/Devstral-2-123B-Instruct-2512-bf16 --prompt "Hello"

Details

Base model
mistralai/Devstral-2-123B-Instruct-2512 (quantized)
Vendor
Mistral
Task
Text generation
Quantisation
bf16
Licence
other
Downloads
95 in the last 30 days · 2.1K all time · 0 likes
Published
2025-12-10 · updated 2025-12-10 (11mo ago)
Tags
ministral3, mistral-common, fp8

Other MLX builds of mistralai/Devstral-2-123B-Instruct-2512

Build Quantisation Weights Mac memory Downloads
Devstral-2-123B-Instruct-2512-4bit 4-bit ≈ 70.3 GB 96 GB+ 275
Devstral-2-123B-Instruct-2512-5bit 5-bit ≈ 86.0 GB 128 GB+ 126
Devstral-2-123B-Instruct-2512-6bit 6-bit ≈ 102 GB 128 GB+ 108
Devstral-2-123B-Instruct-2512-8bit 8-bit ≈ 133 GB 192 GB+ 146
Devstral-2-123B-Instruct-2512-bf16 (this one) bf16 ≈ 250 GB 512 GB+ 95