---
license: llama3.1
datasets:
- TheFinAI/Fino1_Reasoning_Path_FinQA
language:
- en
base_model: TheFinAI/Fino1-8B
pipeline_tag: text-generation
tags:
- mlx
---

# alexgusevski/Fino1-8B-q3-mlx

The Model [alexgusevski/Fino1-8B-q3-mlx](https://huggingface.co/alexgusevski/Fino1-8B-q3-mlx) was
converted to MLX format from [TheFinAI/Fino1-8B](https://huggingface.co/TheFinAI/Fino1-8B)
using mlx-lm version **0.21.4**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("alexgusevski/Fino1-8B-q3-mlx")

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)
```