Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive
Qwen3.5-35B-A3B uncensored by HauhauCS.
Quality: quantized (mxfp4, 4.402 bpw)
About
No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refusals.
These are meant to be the best lossless uncensored models out there.
Aggressive Variant
Stronger uncensoring with more thorough refusal removal. If this variant is too loose for your use case, a Balanced variant may follow.
Note: The model is fully unlocked and will not refuse prompts. However, it may occasionally append a short disclaimer at the end of a response (e.g. "This is general information, not legal advice..."). This is baked into the base model's training and not a refusal — the actual content is still generated in full.
Specs
- 35B total parameters, ~3B active per forward pass (MoE)
- 256 experts, 8 routed + 1 shared per token
- Hybrid architecture: Gated DeltaNet linear attention + full softmax attention (3:1 ratio)
- 40 layers, pattern: 10 x (3 x DeltaNet-MoE + 1 x Attention-MoE)
- 262K native context (extendable to 1M with YaRN)
- Natively multimodal (text, image, video)
- Multi-token prediction (MTP) support
- 248K vocabulary, 201 languages
- Based on Qwen/Qwen3.5-35B-A3B
Recommended Settings
From the official Qwen authors:
Thinking mode (default):
- General:
temperature=1.0, top_p=0.95, top_k=20, min_p=0, presence_penalty=1.5 - Coding/precise tasks:
temperature=0.6, top_p=0.95, top_k=20, min_p=0, presence_penalty=0Non-thinking mode: - General:
temperature=0.7, top_p=0.8, top_k=20, min_p=0, presence_penalty=1.5 - Reasoning tasks:
temperature=1.0, top_p=1.0, top_k=40, min_p=0, presence_penalty=2.0
Source
This model was converted to MLX format from HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive