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---
base_model: tiiuae/falcon-mamba-7b-instruct
datasets:
- tiiuae/falcon-refinedweb
- HuggingFaceFW/fineweb-edu
language:
- en
license: other
license_name: falcon-mamba-7b-license
license_link: https://falconllm.tii.ae/falcon-mamba-7b-terms-and-conditions.html
pipeline_tag: text-generation
tags:
- mlx
inference: true
---
# mlx-community/falcon-mamba-7b-8bit-instruct
The Model [mlx-community/falcon-mamba-7b-8bit-instruct](https://huggingface.co/mlx-community/falcon-mamba-7b-8bit-instruct) was converted to MLX format from [tiiuae/falcon-mamba-7b-instruct](https://huggingface.co/tiiuae/falcon-mamba-7b-instruct) using mlx-lm version **0.19.2**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/falcon-mamba-7b-8bit-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)
```
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