README.md

---
language:
- en
- fr
- es
- pt
tags:
- falcon3
- mlx
- mlx-my-repo
base_model: tiiuae/Falcon3-7B-Instruct
license: other
license_name: falcon-llm-license
license_link: https://falconllm.tii.ae/falcon-terms-and-conditions.html
library_name: transformers
---

# alexander583/Falcon3-7B-Instruct-Q4-mlx

The Model [alexander583/Falcon3-7B-Instruct-Q4-mlx](https://huggingface.co/alexander583/Falcon3-7B-Instruct-Q4-mlx) was converted to MLX format from [tiiuae/Falcon3-7B-Instruct](https://huggingface.co/tiiuae/Falcon3-7B-Instruct) using mlx-lm version **0.20.5**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("alexander583/Falcon3-7B-Instruct-Q4-mlx")

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)
```