Cyber-Tiel-Coder-35B-A3B
35BOtheruncensored
from huihui-ai/Huihui-Ornith-1.5-35B-A3B-abliterated
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Xing4.0-29B-A4B-CRACK
Xing4.0-29B-A4B-CRACK is a abliterated and uncensored variant of XingChen-AGI/Xing4.0-29B-A4B, published on Hugging Face by dealignai. It is 29B total parameters (mixture-of-experts), 48GB VRAM class class and apache-2.0 licence. It is distributed across 2 repositories in GGUF format, totalling 6K downloads.
Specification
- Model name
- Xing4.0-29B-A4B-CRACK
- Source repository
- dealignai/Xing4.0-29B-A4B-CRACK-GGUF
- Base model
- XingChen-AGI/Xing4.0-29B-A4B
- Publisher
- dealignai
- Parameters
- 29B (mixture-of-experts)
- VRAM required
- ~18.4 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
- Text generation
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- GGUF
- First indexed
- 19 Sept 2026
- Last updated
- 21 Sept 2026
Ablation technique
How Xing4.0-29B-A4B-CRACK 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
“Xing4.0-29B-A4B — China Telecom AI's next-generation MoE reasoning model (TeleChat successor) — with the refusal circuitry surgically removed at the weight level. Seven GGUF quants with imatrix calibration.”
Running it
Commands are templates — confirm the exact repository and quant file before use.
llama.cpp / GGUF
hf download dealignai/Xing4.0-29B-A4B-CRACK-GGUF --local-dir ./xing4.0-29b-a4b-crack
llama-cli -m ./xing4.0-29b-a4b-crack/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "dealignai/Xing4.0-29B-A4B-CRACK-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve dealignai/Xing4.0-29B-A4B-CRACK-GGUF --trust-remote-codeDownloads and variants (1)
The only published repository of Xing4.0-29B-A4B-CRACK.
| Repository | Format | Downloads |
|---|---|---|
| dealignai/Xing4.0-29B-A4B-CRACK-GGUFsource | GGUF | 6K |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Xing4.0-29B-A4B-CRACK 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 XingChen-AGI/Xing4.0-29B-A4B, not added by ablation — at 29B 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 XingChen-AGI/Xing4.0-29B-A4B’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 Xing4.0-29B-A4B-CRACK is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with dealignai, and does not independently verify publisher claims. See responsible use.