README.md

---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
language:
- en
- de
- fr
- it
- pt
- hi
- es
- th
license: llama3.1
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-3
- mlx
extra_gated_prompt: "### LLAMA 3.1 COMMUNITY LICENSE AGREEMENT\nLlama 3.1 Version\
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  \ of any dispute arising out of this Agreement.\n### Llama 3.1 Acceptable Use Policy\n\
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---

# mlx-community/Meta-Llama-3.1-8B-Instruct-bf16

The Model [mlx-community/Meta-Llama-3.1-8B-Instruct-bf16](https://huggingface.co/mlx-community/Meta-Llama-3.1-8B-Instruct-bf16) was converted to MLX format from [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) using mlx-lm version **0.19.0**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Meta-Llama-3.1-8B-Instruct-bf16")

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)
```