Update README.md

README.md

@@ -1,7 +1,76 @@
 ---
-language: en
 library_name: mlx
+license: apache-2.0
 pipeline_tag: text-generation
+language:
+- 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:
+- transformers
 - mlx
+- translation
+base_model:
+- utter-project/EuroLLM-22B-Instruct-2512
 ---
+
+# mlx-community/EuroLLM-22B-Instruct-2512-mlx-6bit
+
+The Model [mlx-community/EuroLLM-22B-Instruct-2512-mlx-6bit](https://huggingface.co/mlx-community/EuroLLM-22B-Instruct-2512-mlx-6bit) was converted to MLX format from [utter-project/EuroLLM-22B-Instruct-2512](https://huggingface.co/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
+
+```bash
+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)
+```