README.md

metadata

license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-0.6B/blob/main/LICENSE
pipeline_tag: text-generation
base_model:
  - huihui-ai/Qwen3-0.6B-abliterated
tags:
  - chat
  - abliterated
  - uncensored
extra_gated_prompt: >-
  **Usage Warnings**


  “**Risk of Sensitive or Controversial Outputs**“: This model’s safety
  filtering has been significantly reduced, potentially generating sensitive,
  controversial, or inappropriate content. Users should exercise caution and
  rigorously review generated outputs.

  “**Not Suitable for All Audiences**:“ Due to limited content filtering, the
  model’s outputs may be inappropriate for public settings, underage users, or
  applications requiring high security.

  “**Legal and Ethical Responsibilities**“: Users must ensure their usage
  complies with local laws and ethical standards. Generated content may carry
  legal or ethical risks, and users are solely responsible for any consequences.

  “**Research and Experimental Use**“: It is recommended to use this model for
  research, testing, or controlled environments, avoiding direct use in
  production or public-facing commercial applications.

  “**Monitoring and Review Recommendations**“: Users are strongly advised to
  monitor model outputs in real-time and conduct manual reviews when necessary
  to prevent the dissemination of inappropriate content.

  “**No Default Safety Guarantees**“: Unlike standard models, this model has not
  undergone rigorous safety optimization. huihui.ai bears no responsibility for
  any consequences arising from its use.

Melvin56/Qwen3-0.6B-abliterated-GGUF

Original Model : huihui-ai/Qwen3-0.6B-abliterated

Llama.cpp build: 0208355 (5342)

I used imatrix to create all these quants using this Dataset.

---

	CPU (AVX2)	CPU (ARM NEON)	Metal	cuBLAS	rocBLAS	SYCL	CLBlast	Vulkan	Kompute
K-quants	✅	✅	✅	✅	✅	✅	✅ 🐢5	✅ 🐢5	❌
I-quants	✅ 🐢4	✅ 🐢4	✅ 🐢4	✅	✅	Partial¹	❌	❌	❌

✅: feature works
🚫: feature does not work
❓: unknown, please contribute if you can test it youself
🐢: feature is slow
¹: IQ3_S and IQ1_S, see #5886
²: Only with -ngl 0
³: Inference is 50% slower
⁴: Slower than K-quants of comparable size
⁵: Slower than cuBLAS/rocBLAS on similar cards
⁶: Only q8_0 and iq4_nl