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nDimensional/Qwen3.5-9B-Uncensored-Safetensors

🤗 On Hugging Faceimage-text-to-textapache-2.09.4B params19 GBsafetensors✓ Checksums witnessedupdated 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