---
language:
- en
tags:
- falcon3
- falcon3_mamba
- falcon_mamba
- mlx
base_model: tiiuae/Falcon3-Mamba-7B-Instruct
license: other
license_name: falcon-llm-license
license_link: https://falconllm.tii.ae/falcon-terms-and-conditions.html
library_name: transformers
---

# mlx-community/Falcon3-Mamba-7B-Instruct

The Model [mlx-community/Falcon3-Mamba-7B-Instruct-4bits](https://huggingface.co/mlx-community/Falcon3-Mamba-7B-Instruct) was
converted to MLX format from [tiiuae/Falcon3-Mamba-7B-Instruct](https://huggingface.co/tiiuae/Falcon3-Mamba-7B-Instruct)
using mlx-lm version **0.20.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Falcon3-Mamba-7B-Instruct")

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)
```