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Deepseek-R1-Distill-NSFW-RP…/README.md
ModelHub XC 08f5a5d8e8 初始化项目,由ModelHub XC社区提供模型
Model: hsefz-ChenJunJie/Deepseek-R1-Distill-NSFW-RPv1-mlx-fp16
Source: Original Platform
2026-05-11 12:53:47 +08:00

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---
base_model: mergekit-community/Deepseek-R1-Distill-NSFW-RPv1
library_name: transformers
tags:
- mergekit
- merge
- mlx
- mlx-my-repo
---
# hsefz-ChenJunJie/Deepseek-R1-Distill-NSFW-RPv1-mlx-fp16
The Model [hsefz-ChenJunJie/Deepseek-R1-Distill-NSFW-RPv1-mlx-fp16](https://huggingface.co/hsefz-ChenJunJie/Deepseek-R1-Distill-NSFW-RPv1-mlx-fp16) was converted to MLX format from [mergekit-community/Deepseek-R1-Distill-NSFW-RPv1](https://huggingface.co/mergekit-community/Deepseek-R1-Distill-NSFW-RPv1) using mlx-lm version **0.22.3**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("hsefz-ChenJunJie/Deepseek-R1-Distill-NSFW-RPv1-mlx-fp16")
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)
```