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---
license: apache-2.0
base_model: DavidAU/Qwen2.5-Microsoft-NextCoder-Brainstorm20x-42B
language:
- en
pipeline_tag: text-generation
tags:
- merge
- programming
- code generation
- code
- codeqwen
- coding
- coder
- qwen2
- chat
- qwen
- qwen-coder
- brainstorm
- brainstorm20x
- microsoft
- nextcoder
- selekt
- mlx
datasets:
- microsoft/NextCoderDataset
- microsoft/NextCoderDataset-Conversational
- bigcode/commitpackft
- bigcode/starcoderdata
library_name: mlx
---
# Qwen2.5-Microsoft-NextCoder-Brainstorm20x-42B-q6-mlx
This model [Qwen2.5-Microsoft-NextCoder-Brainstorm20x-42B-q6-mlx](https://huggingface.co/Qwen2.5-Microsoft-NextCoder-Brainstorm20x-42B-q6-mlx) was
converted to MLX format from [DavidAU/Qwen2.5-Microsoft-NextCoder-Brainstorm20x-42B](https://huggingface.co/DavidAU/Qwen2.5-Microsoft-NextCoder-Brainstorm20x-42B)
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("Qwen2.5-Microsoft-NextCoder-Brainstorm20x-42B-q6-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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