67 lines
2.4 KiB
Markdown
67 lines
2.4 KiB
Markdown
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---
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license: mit
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library_name: mlx
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base_model: huihui-ai/DeepSeek-R1-0528-Qwen3-8B-abliterated
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tags:
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- chat
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- abliterated
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- uncensored
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- mlx
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extra_gated_prompt: '**Usage Warnings**
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“**Risk of Sensitive or Controversial Outputs**“: This model’s safety filtering
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has been significantly reduced, potentially generating sensitive, controversial,
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or inappropriate content. Users should exercise caution and rigorously review generated
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outputs.
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“**Not Suitable for All Audiences**:“ Due to limited content filtering, the model’s
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outputs may be inappropriate for public settings, underage users, or applications
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requiring high security.
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“**Legal and Ethical Responsibilities**“: Users must ensure their usage complies
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with local laws and ethical standards. Generated content may carry legal or ethical
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risks, and users are solely responsible for any consequences.
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“**Research and Experimental Use**“: It is recommended to use this model for research,
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testing, or controlled environments, avoiding direct use in production or public-facing
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commercial applications.
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“**Monitoring and Review Recommendations**“: Users are strongly advised to monitor
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model outputs in real-time and conduct manual reviews when necessary to prevent
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the dissemination of inappropriate content.
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“**No Default Safety Guarantees**“: Unlike standard models, this model has not undergone
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rigorous safety optimization. huihui.ai bears no responsibility for any consequences
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arising from its use.'
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pipeline_tag: text-generation
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---
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# SnowFlash383935/DeepSeek-R1-0528-Qwen3-8B-abliterated-mlx
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This model [SnowFlash383935/DeepSeek-R1-0528-Qwen3-8B-abliterated-mlx](https://huggingface.co/SnowFlash383935/DeepSeek-R1-0528-Qwen3-8B-abliterated-mlx) was
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converted to MLX format from [huihui-ai/DeepSeek-R1-0528-Qwen3-8B-abliterated](https://huggingface.co/huihui-ai/DeepSeek-R1-0528-Qwen3-8B-abliterated)
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using mlx-lm version **0.25.2**.
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## Use with mlx
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("SnowFlash383935/DeepSeek-R1-0528-Qwen3-8B-abliterated-mlx")
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prompt = "hello"
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if tokenizer.chat_template is not None:
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messages = [{"role": "user", "content": prompt}]
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prompt = tokenizer.apply_chat_template(
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messages, add_generation_prompt=True
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)
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response = generate(model, tokenizer, prompt=prompt, verbose=True)
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```
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