huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated-NVFP4
This is the NVFP4 quantitative version of huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated created using vllm-project/llm-compressor
Note
This is just an attempt at NVFP4 quantization; no further tests have been conducted. If there are any issues, please leave a message.
VLLM
1. Environmental installation
uv self update cd /vllm/vllm-project/mkdir venvcd /vllm/vllm-project/venv uv venv --python 3.12 --seed --managed-python cd /vllm/vllm-project/venvsource .venv/bin/activate cd /vllm/vllm-projectgit clone ssh://git@github.com/vllm-project/vllm cd /vllm/vllm-project/vllmpip install -e .
2. Environment validation
uv pip show vllmVersion: 0.18.1rc1.dev115+gd6bb2a9d9.cu130 uv pip show compressed-tensorsVersion: 0.14.0.1 uv pip show transformersVersion: 4.57.6 uv pip show torchVersion: 2.10.0+cu130 uv pip show llmcompressorwarning: Package(s) not found for: llmcompressor
3. Download the model.
cd /vllm/models hf download huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated-NVFP4 --local-dir ./huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated-NVFP4 --token xxx
4. Load the model
cd /vllm/vllm-project/venvsource .venv/bin/activate export CUDA_VISIBLE_DEVICES=0unset LD_LIBRARY_PATH export VLLM_USE_FLASHINFER_MOE_FP4=0export VLLM_NVFP4_GEMM_BACKEND=cutlass cd /vllm/models vllm serve huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated-NVFP4 \ --tensor-parallel-size 1 \ --max-model-len 16384 \ --trust-remote-code \ --skip-mm-profiling \ --limit-mm-per-prompt '{"image": 0, "video": 0}' \ --enforce-eager \ --gpu-memory-utilization 0.78 \ --disable-custom-all-reduce
5. Simple test
curl http://localhost:8000/v1/chat/completions \ -H "Content-Type: application/json" \ -d '{ "model": "huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated-NVFP4", "messages": [ {"role": "user", "content": "hello"} ], "temperature": 0.7, "top_p": 0.9, "max_tokens": 8192, "stream": false }'
6. Issue
If you encounter the following issue:
ValueError: The Tokenizer class TokenizersBackend does not exist or is not currently imported.
Modify tokenizer_config.json
TokenizersBackend-> Qwen2Tokenizer
"tokenizer_class": "TokenizersBackend",
Change it to
"tokenizer_class": "Qwen2Tokenizer",
Usage Warnings
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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.
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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.
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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.
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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.
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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.
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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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