GLM-5.3-Flash-Uncensored
GLMuncensored
from zai-org/GLM-5.3-Flash
↓ 125.8K♥ 31642 repos
GLM-5.3-Flash-TensorFold-Ablit
GLM-5.3-Flash-TensorFold-Ablit is a abliterated and uncensored variant of Mia-AiLab/GLM-5.3-Flash-EXL3-4bpw-TensorFold, published on Hugging Face by Mia-AiLab. It is mit licence. It is distributed across 2 repositories in EXL3 format, totalling 6.6K downloads.
Specification
- Model name
- GLM-5.3-Flash-TensorFold-Ablit
- Source repository
- Mia-AiLab/GLM-5.3-Flash-EXL3-4bpw-TensorFold-Ablit
- Publisher
- Mia-AiLab
- Parameters
- Not determinable from name
- VRAM required
- Unknown — no published parameter count
- Hardware class
- Unknown
- Licence
- mit
- Task
- Image text to text
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- EXL3
- First indexed
- 5 Oct 2026
- Last updated
- 5 Oct 2026
Ablation technique
How GLM-5.3-Flash-TensorFold-Ablit 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.
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "Mia-AiLab/GLM-5.3-Flash-EXL3-4bpw-TensorFold-Ablit"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve Mia-AiLab/GLM-5.3-Flash-EXL3-4bpw-TensorFold-Ablit --trust-remote-codeDownloads and variants (1)
The only published repository of GLM-5.3-Flash-TensorFold-Ablit.
| Repository | Format | Downloads |
|---|---|---|
| Mia-AiLab/GLM-5.3-Flash-EXL3-4bpw-TensorFold-Ablitsource | EXL3 | 6.6K |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- GLM-5.3-Flash-TensorFold-Ablit 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.
- 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 mit, but the terms that bind you are Mia-AiLab/GLM-5.3-Flash-EXL3-4bpw-TensorFold’s — a re-release cannot grant more than its parent.
- The source repository is gated, so downloading requires accepting the publisher’s terms.
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 GLM-5.3-Flash-TensorFold-Ablit is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with Mia-AiLab, and does not independently verify publisher claims. See responsible use.