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---
library_name: transformers
tags:
- mlx
- mlx-my-repo
base_model: utter-project/EuroLLM-22B-Instruct-Preview
---
# mlx-community/EuroLLM-22B-Instruct-Preview-mlx-fp16
The Model [mlx-community/EuroLLM-22B-Instruct-Preview-mlx-bf16](https://huggingface.co/mlx-community/EuroLLM-22B-Instruct-Preview-mlx-bf16) was converted to MLX format from [utter-project/EuroLLM-22B-Instruct-Preview](https://huggingface.co/utter-project/EuroLLM-22B-Instruct-Preview) using mlx-lm version **0.22.3**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("bibproj/EuroLLM-22B-Instruct-Preview-mlx-fp16")
prompt="hello"
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)
```
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