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Qwen3.5-4B-Uncensored-LocalAI
Qwen3.5-4B-Uncensored-LocalAI is a abliterated and uncensored open-weight language model, published on Hugging Face by weareapexcreators. It is 4B parameters, single consumer GPU class and apache-2.0 licence. It is distributed across 2 repositories in GGUF format, totalling 15.2K downloads.
Specification
- Model name
- Qwen3.5-4B-Uncensored-LocalAI
- Source repository
- weareapexcreators/Qwen3.5-4B-Uncensored-LocalAI
- Base model
- Not declared
- Publisher
- weareapexcreators
- Parameters
- 4B
- Hardware class
- 4B – 10B — single consumer GPU
- Licence
- apache-2.0
- Task
- Unspecified
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- GGUF
- First indexed
- 1 Jul 2026
- Last updated
- 1 Jul 2026
Ablation technique
How Qwen3.5-4B-Uncensored-LocalAI 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.
Running it
Commands are templates — confirm the exact repository and quant file before use.
llama.cpp / GGUF
hf download weareapexcreators/Qwen3.5-4B-Uncensored-LocalAI --local-dir ./qwen3.5-4b-uncensored-localai
llama-cli -m ./qwen3.5-4b-uncensored-localai/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "weareapexcreators/Qwen3.5-4B-Uncensored-LocalAI"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve weareapexcreators/Qwen3.5-4B-Uncensored-LocalAI --trust-remote-codeDownloads and variants (1)
The only published repository of Qwen3.5-4B-Uncensored-LocalAI.
| Repository | Format | Downloads |
|---|---|---|
| weareapexcreators/Qwen3.5-4B-Uncensored-LocalAIsource | GGUF | 15.2K |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Qwen3.5-4B-Uncensored-LocalAI 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.
- Capability is inherited from its base model, not added by ablation — at 4B parameters, expect a small model’s reasoning and a high error rate on exploit detail.
- The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
- This release adds fine-tuning on unfiltered data, so its behaviour diverges from the base model beyond refusal removal — differences you measure cannot be attributed to ablation alone.
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 Qwen3.5-4B-Uncensored-LocalAI is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with weareapexcreators, and does not independently verify publisher claims. See responsible use.