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---
library_name: mlx
language:
- ar
- cs
- de
- en
- es
- fr
- hi
- it
- ja
- ko
- nl
- pl
- pt
- ro
- ru
- sv
- ur
- zh
tags:
- falcon-h1
- mlx
license: other
license_name: falcon-llm-license
license_link: https://falconllm.tii.ae/falcon-terms-and-conditions.html
base_model: tiiuae/Falcon-H1-7B-Instruct
inference: true
pipeline_tag: text-generation
---
# mlx-community/Falcon-H1-7B-Instruct-4bit
This model [mlx-community/Falcon-H1-7B-Instruct-4bit](https://huggingface.co/mlx-community/Falcon-H1-7B-Instruct-4bit) was
converted to MLX format from [tiiuae/Falcon-H1-7B-Instruct](https://huggingface.co/tiiuae/Falcon-H1-7B-Instruct)
using mlx-lm version **0.28.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Falcon-H1-7B-Instruct-4bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
```
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