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---
license: apache-2.0
tags:
- 'Thinking: Disabled'
- Forge
- code
- mlx
datasets:
- prithivMLmods/Open-Omega-Forge-1M
language:
- en
base_model: prithivMLmods/Omega-Qwen2.5-Coder-3B
pipeline_tag: text-generation
library_name: mlx
---
# Omega-Qwen2.5-Coder-3B-dwq6-mlx
This model [Omega-Qwen2.5-Coder-3B-dwq6-mlx](https://huggingface.co/Omega-Qwen2.5-Coder-3B-dwq6-mlx) was
converted to MLX format from [prithivMLmods/Omega-Qwen2.5-Coder-3B](https://huggingface.co/prithivMLmods/Omega-Qwen2.5-Coder-3B)
using mlx-lm version **0.26.0**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("Omega-Qwen2.5-Coder-3B-dwq6-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)
```
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