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p-e-w / Model details

Qwen3.5-4B-heretic-LoRA

p-e-w/Qwen3.5-4B-heretic-LoRA

abliterateduncensoredfine-tuned
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About this model

p-e-w’s Qwen3.5-4B-heretic-LoRA repository is described in the model card as a decensored version of Qwen/Qwen3.5-4B, while the Hugging Face metadata identifies Qwen/Qwen3.5-4B-Base as its base model. The creator says it was made using Heretic v1.2.0 and supplies abliteration parameters, including direction_index 19.82 and weight settings for attention-output and MLP down-projection projections. According to the card’s performance table, this version has 71/100 refusals versus 94/100 for the original model, with a reported KL divergence of 0.0889; these creator-reported figures have not been independently verified here. The repository is distributed as safetensors weights under the apache-2.0 license. The broader Qwen architecture, capability, benchmark, and context claims in the inherited card are not evaluations of this modified repository.

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/Qwen3.5-4B-Base
Parameters
Unknown
Main repository formats
safetensors
License tag
apache-2.0
Languages
Unknown
Last updated
2026-05-02 · 02:31:19.000 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/Qwen3.5-4B-Base

Family evidence

These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.

  • Qwen: Base model: Qwen/Qwen3.5-4B-Base

Available versions

Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.

Link to this listing

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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 ↗ ★ 36,365

    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 ↗ ★ 8,941

    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 ↗ ★ 78,505

    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 ↗ ★ 75,708

    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 ↗ ★ 132,209

    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 ↗ ★ 7,461

    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 ↗ ★ 7,414

    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 ↗ ★ 84,653

    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.

Compare all tools →

Source provenance

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Metadata checked
2026-10-25 · 00:15:39 UTC
First seen in index
2026-10-25 · 00:15:39 UTC
Source revision
73f1e857ebaf016a78b62cd34a649e79ae900ce2

Source-card excerpt

Source model card excerpt: This is a decensored version of Qwen/Qwen3.5-4B, made using Heretic v1.2.0 Abliteration parameters Parameter Value :-------- :---: direction index 19.82 attn.o proj.max weight 1.29

From p-e-w/Qwen3.5-4B-heretic-LoRA. 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.

Collection rules & limitations ↗