Downloads · 30 days
13
35% of all-time downloads
DBMe/Qwen3.5-4B-heretic-exl3
Qwen3.5-4B-heretic-exl3 is a text generation model from DBMe. Use it when you need the model to write or continue text. It is set up for exllamav3. The card lists the license as apache-2.0.
EXL3 (ExLlamaV3) quantizations of coder3101/Qwen3.5-4B-heretic. All credit for the original model goes to the original authors.
Downloads · 30 days
13
35% of all-time downloads
All-time downloads
37
Public
Repo size
20.1 GB
Likes
0
Public
Click a slice to open those files.
.png75.7 KB · 92%
From the Hugging Face model README
EXL3 (ExLlamaV3) quantizations of coder3101/Qwen3.5-4B-heretic. All credit for the original model goes to the original authors.
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 (512 ctx)¹ | 2K ctx | 4K ctx | 8K ctx | 16K ctx | 32K ctx |
|---|---|---|---|---|---|---|---|---|
| 4.0 | h6 | 4.0bpw_h6 | 10.2665 | ~4.83 GB | ~4.9 GB | ~5.02 GB | ~5.27 GB | ~5.77 GB |
| 5.0 | h6 | 5.0bpw_h6 | 10.1381 | ~5.25 GB | ~5.31 GB | ~5.44 GB | ~5.69 GB | ~6.19 GB |
| 6.0 | h6 | 6.0bpw_h6 | 10.1020 | ~5.66 GB | ~5.73 GB | ~5.85 GB | ~6.1 GB | ~6.6 GB |
| 8.0 | h8 | 8.0bpw_h8 | 10.1099 | ~6.64 GB | ~6.7 GB | ~6.83 GB | ~7.08 GB | ~7.58 GB |
¹ Evaluated against WikiText-2 with ExLlamaV3 using a strided 512-token context window (-c 512) in llama.cpp parity mode (-g). Lower is better. (Higher BPW = higher quality, lower BPW = fits in less VRAM).
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/Qwen3.5-4B-heretic-exl3 --revision 4.0bpw_h6 --local-dir Qwen3.5-4B-heretic-exl3-4.0bpw_h6
These models are highly optimized for modern GPUs and can be run using:
model_name: "Qwen3.5-4B-heretic-exl3-<BranchName>" in your config)exllamav3 loader)(Lower is better)

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 RTX PRO 6000 Blackwell Server Edition