Qwen3.8-27B-Uncensored-Cyber
27BQwenuncensored
from philbert440/Qwen3.8-27B-Uncensored-Cyber
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Qwen3.8-27B-Uncensored-Cyber-agentic
Qwen3.8-27B-Uncensored-Cyber-agentic is a abliterated and uncensored variant of philbert440/Qwen3.8-27B-Uncensored-Cyber, published on Hugging Face by cyjin-yl. It is 27B parameters, 48GB VRAM class class and apache-2.0 licence. It is distributed across 6 repositories in GGUF format, totalling 305.3K downloads.
Specification
- Model name
- Qwen3.8-27B-Uncensored-Cyber-agentic
- Source repository
- cyjin-yl/Qwen3.8-27B-Uncensored-Cyber-agentic-imatrix-GGUF
- Base model
- philbert440/Qwen3.8-27B-Uncensored-Cyber
- Publisher
- cyjin-yl
- Parameters
- 27B
- VRAM required
- ~17.2 GB at Q4_K_M, 4k context (estimated) — runs on 24 GB cards
- Hardware class
- 25B – 50B — 48GB VRAM class
- Licence
- apache-2.0
- Task
- Image text to text
- Context window
- 262K tokens (as documented)
- Ablation scope
- Not stated by the publisher
- Formats available
- GGUF
- First indexed
- 19 Aug 2026
- Last updated
- 11 Oct 2026
Ablation technique
How Qwen3.8-27B-Uncensored-Cyber-agentic 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
“calibrated on an importance matrix built from real agentic-coding traffic rather than generic English prose.”
Running it
Commands are templates — confirm the exact repository and quant file before use.
llama.cpp / GGUF
hf download cyjin-yl/Qwen3.8-27B-Uncensored-Cyber-agentic-imatrix-GGUF --local-dir ./qwen3.8-27b-uncensored-cyber-agentic
llama-cli -m ./qwen3.8-27b-uncensored-cyber-agentic/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "cyjin-yl/Qwen3.8-27B-Uncensored-Cyber-agentic-imatrix-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve cyjin-yl/Qwen3.8-27B-Uncensored-Cyber-agentic-imatrix-GGUF --trust-remote-codeDownloads and variants (5)
Every published repository of Qwen3.8-27B-Uncensored-Cyber-agentic, including quantised re-releases by other authors.
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Qwen3.8-27B-Uncensored-Cyber-agentic 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 philbert440/Qwen3.8-27B-Uncensored-Cyber, not added by ablation — at 27B parameters, expect roughly the base model’s competence, minus some instruction-following fidelity.
- 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.
- Declared licence is apache-2.0, but the terms that bind you are philbert440/Qwen3.8-27B-Uncensored-Cyber’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 Qwen3.8-27B-Uncensored-Cyber-agentic is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with cyjin-yl, and does not independently verify publisher claims. See responsible use.