library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.5-35B-A3B/blob/main/LICENSE
pipeline_tag: image-text-to-text
base_model:
- huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated
tags: - abliterated
- uncensored
- NVFP4
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 venv
cd /vllm/vllm-project/venv
uv venv --python 3.12 --seed --managed-python
cd /vllm/vllm-project/venv
source .venv/bin/activate
cd /vllm/vllm-project
git clone ssh://[email protected]/vllm-project/vllm
cd /vllm/vllm-project/vllm
pip install -e .
2. Environment validation
uv pip show vllm
Version: 0.18.1rc1.dev115+gd6bb2a9d9.cu130
uv pip show compressed-tensors
Version: 0.14.0.1
uv pip show transformers
Version: 4.57.6
uv pip show torch
Version: 2.10.0+cu130
uv pip show llmcompressor
warning: 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/venv
source .venv/bin/activate
export CUDA_VISIBLE_DEVICES=0
unset LD_LIBRARY_PATH
export VLLM_USE_FLASHINFER_MOE_FP4=0
export 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
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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