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license: mit
datasets:
- allenai/WildChat-1M
language:
- en
base_model: microsoft/UserLM-8b
pipeline_tag: text-generation
tags:
- userlm
- simulation
- mlx
- mlx-my-repo
---
# usermma/UserLM-8b-mlx-2Bit
The Model [usermma/UserLM-8b-mlx-2Bit](https://huggingface.co/usermma/UserLM-8b-mlx-2Bit) was converted to MLX format from [microsoft/UserLM-8b](https://huggingface.co/microsoft/UserLM-8b) using mlx-lm version **0.31.2**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("usermma/UserLM-8b-mlx-2Bit")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
```
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