File size: 947 Bytes
96b4950 e7b40ab 96b4950 e7b40ab 96b4950 e7b40ab 96b4950 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 |
---
license: mit
datasets:
- internlm/SWE-Fixer-Eval
- internlm/SWE-Fixer-Train-110K
base_model: internlm/SWE-Fixer-Retriever-7B
pipeline_tag: text-generation
tags:
- code
- mlx
---
# mlx-community/SWE-Fixer-Retriever-7B-4bit
The Model [mlx-community/SWE-Fixer-Retriever-7B-4bit](https://huggingface.co/mlx-community/SWE-Fixer-Retriever-7B-4bit) was
converted to MLX format from [internlm/SWE-Fixer-Retriever-7B](https://huggingface.co/internlm/SWE-Fixer-Retriever-7B)
using mlx-lm version **0.21.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/SWE-Fixer-Retriever-7B-4bit")
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)
```
|