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---
base_model: luzimu/WebGen-LM-7B
datasets:
- luzimu/WebGen-Bench
language:
- en
library_name: mlx
license: mit
metrics:
- accuracy
pipeline_tag: text-generation
tags:
- code-generation
- mlx
---
# cyan2k/WebGen-LM-7B-mlx-8bit
This model [cyan2k/WebGen-LM-7B-mlx-8bit](https://huggingface.co/cyan2k/WebGen-LM-7B-mlx-8bit) was
converted to MLX format from [luzimu/WebGen-LM-7B](https://huggingface.co/luzimu/WebGen-LM-7B)
using mlx-lm version **0.27.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("cyan2k/WebGen-LM-7B-mlx-8bit")
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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