README.md

---
language:
- en
license: apache-2.0
tags:
- causal-lm
- text-generation
- 7b
- ozone-ai
- reverb
- open-source
- mlx
datasets: []
metrics:
- type: MMLU Pro
  value: 0.4006
base_model: ozone-ai/Reverb-7b
---

# alexgusevski/Reverb-7b-q8-mlx

The Model [alexgusevski/Reverb-7b-q8-mlx](https://huggingface.co/alexgusevski/Reverb-7b-q8-mlx) was
converted to MLX format from [ozone-ai/Reverb-7b](https://huggingface.co/ozone-ai/Reverb-7b)
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/Reverb-7b-q8-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)
```