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EuroLLM-22B-Instruct-2512-mlx-4bit

mlx-community/EuroLLM-22B-Instruct-2512-mlx-4bit
4-bit Open on Hugging Face
Parameters
23B
Weights (est.)
≈ 12.7 GB
Mac memory (est.)
24 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/EuroLLM-22B-Instruct-2512-mlx-4bit --prompt "Hello"

Details

Base model
utter-project/EuroLLM-22B-Instruct-2512 (quantized)
Vendor
utter-project
Task
Text generation
Quantisation
4-bit
Licence
apache-2.0
Downloads
278 in the last 30 days · 1.5K all time · 3 likes
Published
2025-12-16 · updated 2025-12-16 (11mo ago)
Languages
en, de, es, fr, it, pt, pl, nl, tr, sv, cs, el, hu, ro, fi, uk, sl, sk, da, lt, lv, et, bg, no, ca, hr, ga, mt, gl, zh, ru, ko, ja, ar, hi
Tags
llama, translation

Other MLX builds of utter-project/EuroLLM-22B-Instruct-2512

Build Quantisation Weights Mac memory Downloads
EuroLLM-22B-Instruct-2512-mlx-4bit (this one) 4-bit ≈ 12.7 GB 24 GB+ 278
EuroLLM-22B-Instruct-2512-mlx-5bit 5-bit ≈ 15.6 GB 24 GB+ 44
EuroLLM-22B-Instruct-2512-mlx-6bit 6-bit ≈ 18.4 GB 24 GB+ 54
EuroLLM-22B-Instruct-2512-mlx-8bit 8-bit ≈ 24.1 GB 32 GB+ 80
EuroLLM-22B-Instruct-2512-mlx-bf16 bf16 ≈ 45.3 GB 64 GB+ 35