---
license: apache-2.0
base_model: mkurman/Qwen2.5-14B-DeepSeek-R1-1M
pipeline_tag: text-generation
library_name: transformers
tags:
- mlx
---

# bobig/Qwen2.5-14B-DeepSeek-R1-1M-Q8

The Model [bobig/Qwen2.5-14B-DeepSeek-R1-1M-Q8](https://huggingface.co/bobig/Qwen2.5-14B-DeepSeek-R1-1M-Q8) was
converted to MLX format from [mkurman/Qwen2.5-14B-DeepSeek-R1-1M](https://huggingface.co/mkurman/Qwen2.5-14B-DeepSeek-R1-1M)
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("bobig/Qwen2.5-14B-DeepSeek-R1-1M-Q8")

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)
```