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GlobalCybersecurityAlliance/GLM-5.3-Flash-Uncensored-RCO-GSQ-GGUF

GlobalCybersecurityAlliance Glm GGUF multimodal
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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Downloads · 30-day
471
Likes
2
Model age
6w ago
created 2026-09-22
Downloads over time
Now471→from0↑0%
01733455180 on Sep 22471 on Sep 28Sep
Sep 22 → Sep 28 · 7 snapshots · spans 6 days

Genealogy 0 direct forks

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This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Metadata

License
mit
Tags
gguf gsq rco lora-merged lora-v2 abliteration image-text-to-text base_model:zai-org/GLM-5.3-Flash base_model:quantized:zai-org/GLM-5.3-Flash license:mit endpoints_compatible region:us

Related

Total size
0 B
Files
2
Quantizations
1
Registered
2026-09-22 01:56
Last updated on HF
2026-09-24 02:44

Files by quantization

Auxiliary files 2 files 2.43 KB
.gitattributes 1.48 KB a6344aac download
README.md 965 B a1947ac9 download

README current version from Hugging Face


base_model: zai-org/GLM-5.3-Flash
pipeline_tag: image-text-to-text
library_name: gguf
license: mit
tags:

  • gguf
  • gsq
  • rco
  • lora-merged

GLM-5.3-Flash-Uncensored · RCO-GSQ GGUF

GGUF exports of the LoRA-merged GLM-5.3-Flash model.

Variants

  • Q8/: Q8_0 high-precision reference produced from the merged FP8 model.
  • Q4/: the LoRA is merged into the public GLM-5.3-Flash GSQ-RCO 3.5-bit
    allocation. Every tensor retains its original RCO-selected GGUF type
    (Q2_K, Q3_K, Q4_K, Q8_0, BF16, or F32) after requantization.
    The Q4 directory name denotes the approximately four-bit size class; the
    source allocation's measured whole-file average is 3.499816 bits/weight.

The Q4 allocation is derived from the independent community reproduction
pfeifferj/GLM-5.3-Flash-GSQ-RCO-GGUF. Its runtime notes require the GLM5-Next
llama.cpp support described by that release.

This repository inherits the MIT license of the base model.

README history 6 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-10-23Update README.md792fc5d2.4 KB
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  2. 2026-10-22Update README.md64d30e72.3 KB
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  3. 2026-10-09整理模型说明并新增七语言独立页面6363ade2.3 KB
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  4. 2026-09-24Update README.mdc96708c8.1 KB
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  5. 2026-09-24Rewrite GGUF model card for merged LoRA v2e73f60610 KB
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  6. 2026-09-22Add GGUF model cardd089e79965 B
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Discussions 2 threads

  1. 2026-10-11Q6 version please ?open3 💬#2
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  2. 2026-10-07Thank you. Favorite 2x 3090 Model so far.open2 💬#1
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