pottokao / Model details
MOSS-Image-Text-Encoder-Heretic
pottokao/MOSS-Image-Text-Encoder-Heretic
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About this model
pottokao's MOSS-Image-Text-Encoder-Heretic is a refusal-modified derivative of Qwen/Qwen3.5-9B, intended by the creator to serve as the text encoder and prompt enhancer for MOSS-Image. The creator says it was made with the Heretic ARA modifier, with merged weight changes limited to 32 tensors in decoder layers 15–31, while all other tensors including the vision tower and MTP head remain bit-identical to the base. It is distributed as safetensors weights under an Apache-2.0 license, and the repository also includes two INT8 safetensors files for ComfyUI. The model card reports that in the creator's tests, this version refused 2 of 100 Heretic prompts and 0 of 10 explicit adult-sex prompt-enhancer requests, compared with 100/100 and 6/10 for the stock model, and that 19 of 60 judged harmful-behavior answers still deflect. The creator warns that thinking mode was not measured and prompts may occasionally be softened.
Description sources
Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.
Size and formats
- Base model
- Qwen/Qwen3.5-9B
- Parameters
- 9.6531B
- Main repository formats
- safetensors
- License tag
- apache-2.0
- Languages
- Unknown
- Last updated
- 2026-10-25 · 01:10:22.000 UTC
What changed
Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.
- abliteratedsource tag:
abliterated
- uncensoredsource tag:
uncensored
- fine-tunedsource tag:
base_model:finetune:Qwen/Qwen3.5-9B
Family evidence
These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.
- Qwen: Base model: Qwen/Qwen3.5-9B
Available versions
Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.
- Main repository files ↗safetensors
- No other explicitly linked versions recorded.
Link to this listing
Made or quantized this model? Paste one of these into your model card or README so people can find this listing.
Markdown
[Listed on Custom Clankers](https://customclankers.com/models/pottokao-moss-image-text-encoder-heretic/)HTML
<a href="https://customclankers.com/models/pottokao-moss-image-text-encoder-heretic/">Listed on Custom Clankers</a>Plain text links only: no image, no script, nothing loaded from this site.
Customize or build on this model
Listed from public GitHub data, not tested by us. Read the code and license before you run anything.
Tools to customize it further
Remove more refusals
- Heretic ↗ ★ 36,553
Removes refusal behavior from transformer models automatically. It pairs directional ablation (abliteration) with an Optuna parameter search that tries to cut refusals while keeping the model close to the original, so you don't have to pick layers by hand.
- OBLITERATUS ↗ ★ 8,966
A larger refusal-removal toolkit with several abliteration methods, usable locally or through a hosted Hugging Face Space. Check the telemetry setting before you run it: the README describes telemetry as opt-in, but on by default in the Spaces version.
Fine-tune it on your own data
- Unsloth ↗ ★ 78,592
A desktop app and Python library for running and training models locally. Its README lists LoRA, QLoRA, full fine-tuning, DPO and GRPO, plus export to formats including GGUF, on Windows, Linux, WSL and macOS.
- LlamaFactory ↗ ★ 75,742
Fine-tunes more than 100 language and vision-language models from a command line or a browser-based Web UI, aimed at training without writing code.
Make a smaller download (quantize)
- llama.cpp ↗ ★ 132,430
Runs models locally and includes the tools behind most GGUF files. A conversion script turns Hugging Face weights into GGUF, and llama-quantize shrinks a high-precision GGUF to lower-bit formats, which can cost some accuracy.
- MLX LM ↗ ★ 7,479
Apple's MLX package for running and fine-tuning models on Apple silicon. It can quantize models and upload them to the Hugging Face Hub, and supports LoRA and full fine-tuning.
Merge it with another model
- mergekit ↗ ★ 7,418
Merges pretrained models with many merge methods. It works out-of-core, so merges can run on a CPU or with as little as 8 GB of VRAM, and it also handles LoRA extraction and mixture-of-experts merges.
Learn the techniques
- LLM Course ↗ ★ 84,721
A free course with roadmaps and Colab notebooks. Its notebooks include one-click tools for merging with MergeKit, quantizing to GGUF, GPTQ, EXL2, AWQ and HQQ, and automatic abliteration with custom datasets.
Source provenance
- Downloads
- 109
- Likes
- 8
- Metadata checked
- 2026-10-27 · 00:15:15 UTC
- First seen in index
- 2026-10-27 · 00:15:15 UTC
- Source revision
- 9f4a2b4034a87b04a9d51904fd8084edfa11cf29
Source-card excerpt
Source model card excerpt: MOSS-Image Text Encoder — Heretic (Qwen3.5-9B) A decensored Qwen3.5-9B , made to be the text encoder and the prompt enhancer of MOSS-Image. MOSS-Image's text
From pottokao/MOSS-Image-Text-Encoder-Heretic. Creator model-card excerpt, not an independent review.
Inspect before you run
Low refusal is not proof of correctness. Outputs can be inaccurate, harmful, or biased. Review the model card, license and files yourself. A license tag is not commercial-use advice. Parameter counts are source metadata; no hardware compatibility is implied.
This directory does not host or redistribute model weights. Refusal profiles are measured by us on a fixed prompt set; all other behavior claims are source-reported.
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