EuroLLM-9B-Instruct-2512-MLX-4bit

MLX 4-bit quantisation of utter-project/EuroLLM-9B-Instruct-2512, converted for use on Apple Silicon via mlx-lm.

Source model

  • Repository: utter-project/EuroLLM-9B-Instruct-2512
  • Release: 2025-12
  • Family: eurollm
  • Origin: eu
  • Languages / coverage: 35 languages: 24 EU official + Arabic, Catalan, Chinese, Galician, Hindi, Japanese, Korean, Norwegian, Russian, Turkish, Ukrainian
  • License: apache-2.0 (inherited)

Notes from upstream

Improved over EuroLLM-9B-Instruct: long-context extension and the revamped post-training recipe later applied to EuroLLM-22B-Instruct.

Conversion details

  • Tool: mlx-lm 0.31.3
  • Quantisation: 4-bit (defaults from mlx_lm.convert)
  • Converted on: 2026-05-05

Usage

from mlx_lm import load, generate

model, tokenizer = load("luiscalisto/EuroLLM-9B-Instruct-2512-MLX-4bit")
prompt = "Hello, who are you?"
print(generate(model, tokenizer, prompt=prompt, max_tokens=128, verbose=False))

License and attribution

This is a quantised redistribution of utter-project/EuroLLM-9B-Instruct-2512. The original model and its license terms (apache-2.0) carry through unchanged. Please cite the upstream authors when using this model. See the source repository for the authoritative model card and citation.

Conversion provenance

Produced by llm-mlx-conversions, a small utility for publishing community MLX 4-bit quants of open-weight LLMs.

Downloads last month
17
Safetensors
Model size
1B params
Tensor type
BF16
·
U32
·
MLX
Hardware compatibility
Log In to add your hardware

4-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for luiscalisto/EuroLLM-9B-Instruct-2512-MLX-4bit

Quantized
(4)
this model