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alyskyfall/gemma4-31B-it-sft-aug5_glm52_sc10b_r16_unfiltered

alyskyfall Gemma 31B
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Response includes
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  • files 13
  • benchmarks 11 entries
  • author_summary 1 models
  • readme_text full
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  • no classification signals present (no abliterated, uncensored, or known producer/method markers)
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Refusal direction extraction

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Downloads · 30-day
12
↑ 150% in 90 days
Likes
0
Model age
8w ago
created 2026-08-12
Downloads over time
Now25→from10↑150%
915212710 on Aug 1925 on Oct 1125 on Oct 8AugSepOct
Aug 19 → Oct 11 · 48 snapshots · spans 53 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Entertainment 1.9 UGI
Hazardous 0 UGI
Natural Intelligence 34.36 UGI
Political lean -19.4% UGI
Sensitive-Info 19.81 UGI
SocPol 3.7 UGI
UGI 21.54 UGI
Willingness (10) 2.5 UGI
W10-Adherence 3 UGI
W10-Direct 2 UGI
Writing 38.57 UGI

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.

google/gemma-4-31B-it this lineage
alyskyfall/gemma4-31B-it-sft-aug5_glm52_sc10b_r16_unfiltered↓ 12

Metadata

Tags
peft safetensors base_model:adapter:google/gemma-4-31B-it lora sft transformers trl unsloth text-generation conversational arxiv:1910.09700 base_model:google/gemma-4-31B-it

Related

Same base model
wangzhang/gemma-4-31B-it-abliterated 301K paperscarecrow/Gemma-4-31B-it-abliterated 143K HauhauCS/Gemma4-31B-QAT-Uncensored-HauhauCS-Balanced-MTP 96K OS-Software/gemma-4-31B-it-qat-q4_0-uncensored-heretic-GGUF 6K LiconStudio/Gemma-4-31B-it-abliterated-GGUF 6K
Total size
705 MB
Files
13
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-08-12 18:17
Source huggingface.co/alyskyfall/gemma4-31B-it-sft-aug5_glm52_sc10b_r16_unfiltered ↗ Base model google/gemma-4-31B-it ↗

Files by quantization

Auxiliary files 13 files 736 MB
adapter_model.safetensors 467 MB e7a1b208 download
optimizer.pt 238 MB 611af473 download
rng_state.pth 14.3 KB d895ccae download
training_args.bin 5.77 KB 32e3786c download
scheduler.pt 1.43 KB 812f9f0d download
tokenizer.json 30.7 MB cc8d3a0c download
trainer_state.json 33.1 KB af94ecf7 download
tokenizer_config.json 7.58 KB 902b6629 download
README.md 5.10 KB 994a62f5 download
chat_template.jinja 2.32 KB 582bb4df download
processor_config.json 1.65 KB 5465974d download
.gitattributes 1.53 KB 52373fe2 download
adapter_config.json 1.45 KB a73110d7 download

README current version from Hugging Face

base_model: google/gemma-4-31B-it
library_name: peft
pipeline_tag: text-generation
tags:

  • base_model:adapter:google/gemma-4-31B-it
  • lora
  • sft
  • transformers
  • trl
  • unsloth

Model Card for Model ID

Model Details

Model Description

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Model Sources [optional]

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Uses

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

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Evaluation

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Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Hardware

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Software

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Citation [optional]

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Framework versions

  • PEFT 0.19.1

README history 1 version

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

  1. 2026-08-12Upload folder using huggingface_hube9d0a285.1 KB
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