gopiprakan/GLM-5.3-UNCENSORED-EXL3-3.0bpw
text-generation model by gopiprakan
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Model card & documentation
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EXL3 quantization of dealignai/GLM-5.3-UNCENSORED-FP8, itself a weight-edited (no fine-tune) variant of zai-org/GLM-5.3. The edit is documented in CRACKSURGERY.json (copied unchanged from the source repo). This repo is not affiliated with dealignai or Z.ai. eval/modeldiff.py, 20 rows x 2048 tokens of wikitext-2 test: tau2-bench (airline, retail), Pass^1. Agent temperature 1.0, topp 0.95; user simulator and judges GPT-4.1 at temperature 0. The reference is stock GLM-5.3 (not the uncensored edit) served at FP8 by Z.ai via OpenRouter, run through the same harness. The difference therefore mixes the dealign weight edit and this quantization. Per trial: airline baseline 0.740 / 0.680, quant 0.600 / 0.680; retail baseline 0.465 / 0.544, quant 0.482. ± is one binomial standard error. Neither difference is statistically significant at these sample sizes; treat the airline point estimate as a possible small regression rather than a measured one. Tested with TabbyAPI on 8x A100 40GB, layer…
Read the full model card ↗ · Preview checked 2026-10-28T19:56:43.167Z
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Model overview
gopiprakan/GLM-5.3-UNCENSORED-EXL3-3.0bpw is a text-generation model repository published by gopiprakan on Hugging Face. The source reports the exllamav3 library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- exllamav3
- Recent downloads (30 days)
- 0
- Cumulative likes
- 1
- Hugging Face trending score
- 1
- Reported safetensors parameters
- 146,311,635,584
- Architecture
- GlmMoeDsaForCausalLM
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-09T06:24:34.000Z
- Last modified
- 2026-10-09T06:24:34.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: dealignai/GLM-5.3-UNCENSORED-FP8
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-09T06:40:49.674Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.