library_name: transformers
license: mit
pipeline_tag: text-generation
base_model:
- deepreinforce-ai/Ornith-1.0-9B
tags: - gguf
- llama.cpp
- speculative-decoding
- mtp
- multi-token-prediction
- qwen3.5
- abliterated
- uncensored
- GGUF
- huihui
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.
huihui-ai/Huihui-Ornith-1.0-9B-abliterated-MTP-GGUF
This is an uncensored version of deepreinforce-ai/Ornith-1.0-9B created with abliteration (see remove-refusals-with-transformers to know more about it).
This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.
Note We will directly perform ablation on the GGUF files from protoLabsAI/Ornith-1.0-9B-MTP-GGUF. Some weights quantized in Q3_K, Q4_K, Q5_K and Q6_K will be converted to Q8_0. This time, the weights of the first 5 layers, so the final weights will increase, but the change will not be significant.
We performed a simple quantization comparison between Q8_0 and MXFP4 on the Q3 version of protoLabsAI/Ornith-1.0-9B-MTP-GGUF.
Clearly, Q8_0 has the largest weight size, but its PPL is smaller than the original.
While MXFP4 can reduce the model weight size, it increases the PPL.
| name | Size | PPL | weight |
|---|---|---|---|
| Ornith-1.0-9B-MTP-GGUF/ornith-9b-mtp-kl-IQ3_M.gguf | 4.67GB | 7.2065 +/- 0.04554 | Q6_K(output), IQ3_S(ffn_down/ssm_out) |
| Huihui-Ornith-1.0-9B-abliterated-MTP-GGUF-Q8/ornith-9b-mtp-kl-IQ3_M.gguf | 5.99GB | 7.1733 +/- 0.04588 | Q8_0(output/ffn_down/ssm_out) |
| Huihui-Ornith-1.0-9B-abliterated-MTP-GGUF/ornith-9b-mtp-kl-IQ3_M.gguf | 4.84GB | 7.2943 +/- 0.04648 | Q6_K(output), Q8_0(ffn_down/ssm_out) |
| Huihui-Ornith-1.0-9B-abliterated-MTP-GGUF-MXFP4/ornith-9b-mtp-kl-IQ3_M.gguf | 4.42GB | 7.3632 +/- 0.04687 | MXFP4(output/ffn_down/ssm_out) |
Download
Use the latest llama.cpp,
huggingface-cli download huihui-ai/Huihui-Ornith-1.0-9B-abliterated-MTP-GGUF --local-dir ./huihui-ai/Huihui-Ornith-1.0-9B-abliterated-MTP-GGUF --token xxx
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.
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