auto-patch README.md

README.md

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+---
+base_model: huihui-ai/Huihui-MoE-24B-A8B-abliterated
+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.
+language:
+- en
+library_name: transformers
+license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen3-8B/blob/main/LICENSE
+quantized_by: mradermacher
+tags:
+- moe
+---
+## About
+
 <!-- ### quantize_version: 2 -->
 <!-- ### output_tensor_quantised: 1 -->
 <!-- ### convert_type: hf -->
 <!-- ### vocab_type:  -->
 <!-- ### tags:  -->
 static quants of https://huggingface.co/huihui-ai/Huihui-MoE-24B-A8B-abliterated
+
+<!-- provided-files -->
+weighted/imatrix quants are available at https://huggingface.co/mradermacher/Huihui-MoE-24B-A8B-abliterated-i1-GGUF
+## Usage
+
+If you are unsure how to use GGUF files, refer to one of [TheBloke's
+READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
+more details, including on how to concatenate multi-part files.
+
+## Provided Quants
+
+(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
+
+| Link | Type | Size/GB | Notes |
+|:-----|:-----|--------:|:------|
+| [GGUF](https://huggingface.co/mradermacher/Huihui-MoE-24B-A8B-abliterated-GGUF/resolve/main/Huihui-MoE-24B-A8B-abliterated.Q2_K.gguf) | Q2_K | 9.3 |  |
+| [GGUF](https://huggingface.co/mradermacher/Huihui-MoE-24B-A8B-abliterated-GGUF/resolve/main/Huihui-MoE-24B-A8B-abliterated.Q3_K_S.gguf) | Q3_K_S | 10.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/Huihui-MoE-24B-A8B-abliterated-GGUF/resolve/main/Huihui-MoE-24B-A8B-abliterated.Q3_K_M.gguf) | Q3_K_M | 12.0 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Huihui-MoE-24B-A8B-abliterated-GGUF/resolve/main/Huihui-MoE-24B-A8B-abliterated.Q3_K_L.gguf) | Q3_K_L | 12.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/Huihui-MoE-24B-A8B-abliterated-GGUF/resolve/main/Huihui-MoE-24B-A8B-abliterated.IQ4_XS.gguf) | IQ4_XS | 13.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/Huihui-MoE-24B-A8B-abliterated-GGUF/resolve/main/Huihui-MoE-24B-A8B-abliterated.Q4_K_S.gguf) | Q4_K_S | 14.2 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Huihui-MoE-24B-A8B-abliterated-GGUF/resolve/main/Huihui-MoE-24B-A8B-abliterated.Q4_K_M.gguf) | Q4_K_M | 15.0 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Huihui-MoE-24B-A8B-abliterated-GGUF/resolve/main/Huihui-MoE-24B-A8B-abliterated.Q5_K_S.gguf) | Q5_K_S | 17.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/Huihui-MoE-24B-A8B-abliterated-GGUF/resolve/main/Huihui-MoE-24B-A8B-abliterated.Q5_K_M.gguf) | Q5_K_M | 17.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/Huihui-MoE-24B-A8B-abliterated-GGUF/resolve/main/Huihui-MoE-24B-A8B-abliterated.Q6_K.gguf) | Q6_K | 20.2 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/Huihui-MoE-24B-A8B-abliterated-GGUF/resolve/main/Huihui-MoE-24B-A8B-abliterated.Q8_0.gguf) | Q8_0 | 26.1 | fast, best quality |
+
+Here is a handy graph by ikawrakow comparing some lower-quality quant
+types (lower is better):
+
+![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
+
+And here are Artefact2's thoughts on the matter:
+https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
+
+## FAQ / Model Request
+
+See https://huggingface.co/mradermacher/model_requests for some answers to
+questions you might have and/or if you want some other model quantized.
+
+## Thanks
+
+I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
+me use its servers and providing upgrades to my workstation to enable
+this work in my free time.
+
+<!-- end -->