---
license: other
pipeline_tag: text-generation
library_name: mlx
tags:
- mlx
base_model: TheDrummer/Fallen-Llama-3.3-R1-70B-v1
---

# Beridar/Fallen-Llama-3.3-R1-70B-v1-Q4-mlx

This model [Beridar/Fallen-Llama-3.3-R1-70B-v1-Q4-mlx](https://huggingface.co/Beridar/Fallen-Llama-3.3-R1-70B-v1-Q4-mlx) was
converted to MLX format from [TheDrummer/Fallen-Llama-3.3-R1-70B-v1](https://huggingface.co/TheDrummer/Fallen-Llama-3.3-R1-70B-v1)
using mlx-lm version **0.22.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("Beridar/Fallen-Llama-3.3-R1-70B-v1-Q4-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)
```