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Dsaf69/Qwen35-9B-Uncensored-Safetensors

🤗 Hugging Face sourceimage-text-to-textapache-2.09.4B params19 GBsafetensors✓ 5 checksumsupdated today
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Qwen3.5-9B Uncensored (Safetensors)

A safetensors conversion of HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive (GGUF) to work with frameworks that don't support GGUF or split GGUF format (vLLM, transformers, etc..).

Note for vLLM users: As of vLLM 0.18.1, reasoning is enabled by default for qwen3 family of models. To disable add --default-chat-template-kwargs '{"enable_thinking": false}' flag to your serve startup; otherwise leave default to keep reasoning enabled.

Model Details
Architecture Qwen3.5 dense hybrid attention (24 GDN + 8 full standard attention layers)
Parameters 9B
Base model Qwen/Qwen3.5-9B
Source GGUF HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive
Format BF16
Conversion type Lossless GGUF to safetensors conversion + merge with base model vision layers.

Conversion Details

Converted using code release coming soon, which reverses transforms applied during HF -> GGUF conversion.

The vision encoder weights are copied directly from the official Qwen/Qwen3.5-9B base model, after confirming the vision encoder (mmproj) was not modified in the source GGUF.

Config Changes from Base Model

Field Base Model This Model Reason
mtp_num_hidden_layers 1 0 Multi-Token Prediction (MTP) weights are stripped during GGUF export; disabled to prevent missing-tensor errors

All other config fields are identical to the official Qwen3.5-9B.

Tensor Analysis

Every converted tensor was compared against the official Qwen3.5-9B weights to verify transform conversiion correctness and characterize the moddifications made by the GGUF author. Since this is a BF16 -> BF16 conversion, after correcting transforms errors from GGUF noise; any non-zero difference represents an intentional modification to the weights.

Spot-check Value Comparison Findings (Layer 0 + Layer 3)

Tensor Max Diff Mean Diff Status
self_attn.o_proj.weight 5.18e-02 6.51e-04 ⚠️ Modified
linear_attn.norm.weight 1.95e-03 9.75e-04 ⚠️ Modified

Note: The spot-check only covers layers 0 and 3. A full per-layer analysis across all 32 layers was not needed for purpose of conversion verification. Other layers may contain similar weight modifications.

What's NOT Modified

  • Vision encoder: all 3333 model.visual.* tensors are copied directly from the official Qwen3.5-9B model.
  • Tokenizer: identical vocab, merges, and special tokens.
  • Embeddings: embed_tokens.weight and lm_head.weight are bit-identical.
  • MLP layers: all gate_proj, up_proj, down_proj weights checked are bit-identical.

Credits