Qwen3.5-9B-heretic-ara-v1 — NVFP4 + ConvRot INT8
Mixed-precision quantization of rockerBOO/Qwen3.5-9B-heretic-ara-v1 (a Heretic ARA-decensored Qwen/Qwen3.5-9B), as a single safetensors file for ComfyUI.
Files
| File | Size | Description |
|---|---|---|
qwen3.5-9b-heretic-ara-v1_nvfp4_convrot_int8.safetensors |
9.8 GB | NVFP4 MLPs, INT8 ConvRot attention, rest BF16 |
qwen35_9b_layer_config.json |
– | Per-layer routing used for the quantization |
Source (BF16, single file): 18.8 GB.
Layout
- NVFP4 (96 tensors): MLP
gate_proj/up_proj/down_projin all 32 blocks - INT8 ConvRot, group size 256 (104 tensors):
self_attnq/k/v/o andlinear_attnin_proj_qkv / in_proj_z / out_proj - BF16: embeddings,
lm_head, norms,in_proj_a/in_proj_b, conv1d, vision tower
Hardware
NVFP4 layers need an NVIDIA Blackwell GPU (SM ≥ 10.0) for native FP4 compute. Use ComfyUI with
quantized-checkpoint (comfy_quant) support.
Usage
Put the file in ComfyUI/models/text_encoders/ and load it with a CLIP/text-encoder loader, or use
it with the TextGenerate node.
Quality
Checked for functional correctness only: it loads in ComfyUI and generates coherent text (factual Q&A, math, code, formatting, translation) comparable to the BF16 source on a small prompt set. No benchmark or perplexity evaluation has been run.
Quantization
convert_to_quant, learned rounding (default):
ctq -i Qwen3.5-9B-heretic-ara-v1.safetensors \
-o qwen3.5-9b-heretic-ara-v1_nvfp4_convrot_int8.safetensors \
--nvfp4 --fallback fp8 \
--layer-config qwen35_9b_layer_config.json \
--comfy_quant --save-quant-metadata
ConvRot: arXiv:2512.03673.
License
Apache License 2.0, inherited from Qwen/Qwen3.5-9B; the
license text is included in LICENSE. This is a derivative of the Heretic-modified model linked above.