Qwen3.5-0.8B-abliterated
from Qwen/Qwen3.5-0.8B
Qwen3.5-0.8B-uncensored-opus-distill is a abliterated and uncensored variant of Qwen/Qwen3.5-0.8B, published on Hugging Face by amkkk. It is 0.8B parameters, runs on a laptop CPU class and apache-2.0 licence. It is distributed across 2 repositories in GGUF format, totalling 14.8K downloads.
How Qwen3.5-0.8B-uncensored-opus-distill was modified, and what that implies.
Abliteration + uncensored fine-tune
Directional ablation combined with additional fine-tuning on unfiltered data, so behaviour diverges from the base model beyond refusal removal alone.
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
“This repo contains a Q4KM GGUF companion export for the post opus-re-re-ablated Qwen 3.5 0.8B runtime release.”
Commands are templates — confirm the exact repository and quant file before use.
hf download amkkk/Qwen3.5-0.8B-GGUF-uncensored-opus-distill --local-dir ./qwen3.5-0.8b-uncensored-opus-distill
llama-cli -m ./qwen3.5-0.8b-uncensored-opus-distill/<file>.gguf -p "..."from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "amkkk/Qwen3.5-0.8B-GGUF-uncensored-opus-distill"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vllm serve amkkk/Qwen3.5-0.8B-GGUF-uncensored-opus-distill --trust-remote-codeThe only published repository of Qwen3.5-0.8B-uncensored-opus-distill.
| Repository | Format | Downloads |
|---|---|---|
| amkkk/Qwen3.5-0.8B-GGUF-uncensored-opus-distillsource | GGUF | 14.8K |
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
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 Qwen3.5-0.8B-uncensored-opus-distill is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with amkkk, and does not independently verify publisher claims. See responsible use.