Qwen3-VL-32B-Instruct-ultra-uncensored-heretic
32BQwenheretic
from Qwen/Qwen3-VL-32B-Instruct
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MiniMax-TextEncoder-abliterated
MiniMax-TextEncoder-abliterated is a refusal-ablated variant of Qwen/Qwen3-VL-32B-Instruct, published on Hugging Face by pottokao. It is apache-2.0 licence. It is distributed across 2 repositories in GGUF format, totalling 16.1K downloads.
Specification
- Model name
- MiniMax-TextEncoder-abliterated
- Source repository
- pottokao/MiniMax-H3-TextEncoder-16GB-abliterated-GGUF
- Base model
- Qwen/Qwen3-VL-32B-Instruct
- Publisher
- pottokao
- Parameters
- Not determinable from name
- VRAM required
- Unknown — no published parameter count
- Hardware class
- Unknown
- Licence
- apache-2.0
- Task
- Unspecified
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- GGUF
- First indexed
- 21 Oct 2026
- Last updated
- 21 Oct 2026
Ablation technique
How MiniMax-TextEncoder-abliterated was modified, and what that implies.
Abliteration (directional ablation)
The single residual-stream direction that mediates refusal is identified from harmful/harmless prompt pairs and projected out of the model weights.
Reported scope: Not stated by the publisher. Publishers frequently omit this, so verify behaviour empirically rather than assuming full coverage.
From the publisher’s model card
“The abliteration is llmfan46's (Qwen3-VL-32B-Instruct-ultra-uncensored-heretic): compared tensor by tensor with the official H3 encoder, it differs only in selfattn.oproj of layers 31–39; those nine tensors were swapped into the official encoder, everything else is identical. Same per-tensor format allocation as the...”
Running it
Commands are templates — confirm the exact repository and quant file before use.
llama.cpp / GGUF
hf download pottokao/MiniMax-H3-TextEncoder-16GB-abliterated-GGUF --local-dir ./minimax-textencoder-abliterated
llama-cli -m ./minimax-textencoder-abliterated/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "pottokao/MiniMax-H3-TextEncoder-16GB-abliterated-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve pottokao/MiniMax-H3-TextEncoder-16GB-abliterated-GGUF --trust-remote-codeDownloads and variants (1)
The only published repository of MiniMax-TextEncoder-abliterated.
| Repository | Format | Downloads |
|---|---|---|
| pottokao/MiniMax-H3-TextEncoder-16GB-abliterated-GGUFsource | GGUF | 16.1K |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- MiniMax-TextEncoder-abliterated will attempt offensive-security prompts that a hosted commercial model declines, which is what makes it usable for red-team corpus generation and for measuring what an unaligned model of this class produces.
- The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
- Declared licence is apache-2.0, but the terms that bind you are Qwen/Qwen3-VL-32B-Instruct’s — a re-release cannot grant more than its parent.
Handling: run it isolated, put moderation in front of it if anyone outside your team can reach it, and verify the weights before loading — these are third-party artifacts. Full handling and licence guidance.
Metadata for MiniMax-TextEncoder-abliterated is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with pottokao, and does not independently verify publisher claims. See responsible use.