You can deploy this model and start earning money today!

mlx-community/
EuroLLM-22B-Instruct-2512-mlx-6bit

Name: EuroLLM-22B-Instruct-2512-mlx-6bit
Availability: InStock

Views

No views yet

mlx-community/EuroLLM-22B-Instruct-2512-mlx-6bit

The Model mlx-community/EuroLLM-22B-Instruct-2512-mlx-6bit was converted to MLX format from utter-project/EuroLLM-22B-Instruct-2512 using mlx-lm version 0.28.4.

You can find other similar translation-related MLX model quants for an Apple Mac at https://huggingface.co/bibproj

35 Languages: Bulgarian, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Hungarian, Irish, Italian, Latvian, Lithuanian, Maltese, Polish, Portuguese, Romanian, Slovak, Slovenian, Spanish, Swedish, Arabic, Catalan, Chinese, Galician, Hindi, Japanese, Korean, Norwegian, Russian, Turkish, and Ukrainian.

Use with mlx

pip install mlx-lm

python

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/EuroLLM-22B-Instruct-2512-mlx-6bit")
prompt="Translate from English to French: Hi there!"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)