DBMe/Qwen3.5-9B-ultra-uncensored-heretic-v2-exl3

EXL3 (ExLlamaV3) quantizations of llmfan46/Qwen3.5-9B-ultra-uncensored-heretic-v2. All credit for the original model goes to the original authors.

πŸ“Š Available Quantizations & VRAM

The model weights are stored in separate branches. Please switch to a branch to download. Note: VRAM estimates include PyTorch context overhead (~0.8GB) and assume an unquantized FP16 KV cache.

Target BPW Head BPW Branch (Download Link) WikiText-2 PPL (2048 ctx)ΒΉ 2K ctx 4K ctx 8K ctx 16K ctx 32K ctx
4.0 h6 4.0bpw_h6 7.2847 ~7.74 GB ~7.99 GB ~8.49 GB ~9.49 GB ~11.49 GB
5.0 h6 5.0bpw_h6 7.2596 ~8.55 GB ~8.8 GB ~9.3 GB ~10.3 GB ~12.3 GB
6.0 h6 6.0bpw_h6 7.3097 ~9.35 GB ~9.6 GB ~10.1 GB ~11.1 GB ~13.1 GB
8.0 h8 8.0bpw_h8 7.2881 ~11.2 GB ~11.45 GB ~11.95 GB ~12.95 GB ~14.95 GB

ΒΉ Evaluated against WikiText-2 with ExLlamaV3 using a strided 2048-token context window (-c 2048) in llama.cpp parity mode (-g). Lower is better. (Higher BPW = higher quality, lower BPW = fits in less VRAM).

πŸ“₯ How to Download

It's recommended to use the huggingface-cli to download specific branches. (Do not use git clone as it will download all branches!)

Ensure you have the CLI installed:

pip install -U "huggingface_hub[cli]"

Download a specific branch (e.g., 4.0bpw_h6):

# Example: Downloading the 4.0bpw_h6 branch
huggingface-cli download DBMe/Qwen3.5-9B-ultra-uncensored-heretic-v2-exl3 --revision 4.0bpw_h6 --local-dir Qwen3.5-9B-ultra-uncensored-heretic-v2-exl3-4.0bpw_h6

πŸ’» Supported Engines

These models are highly optimized for modern GPUs and can be run using:

  • TabbyAPI: A fast, OpenAI-compatible API server. (Set model_name: "Qwen3.5-9B-ultra-uncensored-heretic-v2-exl3-<BranchName>" in your config)
  • Text-Generation-WebUI: A local web interface. (Select the exllamav3 loader)
  • ExLlamaV3 (Native): Python library for custom integration.

πŸ“ˆ Perplexity Degradation Curve

(Lower is better) Perplexity Graph

βš™οΈ Advanced: Quantization Environment & Settings

πŸ”¬ Quantization Settings

  • Codebook: mcg

  • Output Scales: always

  • Calibration Rows: 250

  • Calibration Cols: 2048

  • Calibration Dataset: ExLlamaV3 Default (Wiki/C4/Code)

  • High Quality (HQ) Mode: False

  • ExLlamaV3: 0.0.29 (Commit: cb1a436)

  • Hardware: NVIDIA L4

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