66 lines
2.8 KiB
Markdown
66 lines
2.8 KiB
Markdown
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---
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license: apache-2.0
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license_link: https://huggingface.co/Qwen/Qwen3-0.6B/blob/main/LICENSE
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pipeline_tag: text-generation
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base_model:
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- huihui-ai/Qwen3-0.6B-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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extra_gated_prompt: >-
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**Usage Warnings**
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“**Risk of Sensitive or Controversial Outputs**“: This model’s safety
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filtering has been significantly reduced, potentially generating sensitive,
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controversial, or inappropriate content. Users should exercise caution and
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rigorously review generated outputs.
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“**Not Suitable for All Audiences**:“ Due to limited content filtering, the
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model’s outputs may be inappropriate for public settings, underage users, or
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applications requiring high security.
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“**Legal and Ethical Responsibilities**“: Users must ensure their usage
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complies with local laws and ethical standards. Generated content may carry
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legal or ethical 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
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research, testing, or controlled environments, avoiding direct use in
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production or public-facing commercial applications.
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“**Monitoring and Review Recommendations**“: Users are strongly advised to
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monitor model outputs in real-time and conduct manual reviews when necessary
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to prevent the dissemination of inappropriate content.
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“**No Default Safety Guarantees**“: Unlike standard models, this model has not
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undergone rigorous safety optimization. huihui.ai bears no responsibility for
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any consequences arising from its use.
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---
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# Melvin56/Qwen3-0.6B-abliterated-GGUF
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Original Model : [huihui-ai/Qwen3-0.6B-abliterated](https://huggingface.co/huihui-ai/Qwen3-0.6B-abliterated)
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Llama.cpp build: 0208355 (5342)
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I used imatrix to create all these quants using this [Dataset](https://gist.github.com/tristandruyen/9e207a95c7d75ddf37525d353e00659c/#file-calibration_data_v5_rc-txt).
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---
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| | CPU (AVX2) | CPU (ARM NEON) | Metal | cuBLAS | rocBLAS | SYCL | CLBlast | Vulkan | Kompute |
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| :------------ | :---------: | :------------: | :---: | :----: | :-----: | :---: | :------: | :----: | :------: |
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| K-quants | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ 🐢5 | ✅ 🐢5 | ❌ |
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| I-quants | ✅ 🐢4 | ✅ 🐢4 | ✅ 🐢4 | ✅ | ✅ | Partial¹ | ❌ | ❌ | ❌ |
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```
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✅: feature works
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🚫: feature does not work
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❓: unknown, please contribute if you can test it youself
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🐢: feature is slow
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¹: IQ3_S and IQ1_S, see #5886
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²: Only with -ngl 0
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³: Inference is 50% slower
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⁴: Slower than K-quants of comparable size
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⁵: Slower than cuBLAS/rocBLAS on similar cards
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⁶: Only q8_0 and iq4_nl
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```
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