← back to catalog · registered 2026-10-08 21:58

onnx-community/Gemma3-Prompt.Coder.it.Uncensored-270m-ONNX

onnx-community second-order
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/onnx-community%2FGemma3-Prompt.Coder.it.Uncensored-270m-ONNX"
Response includes
  • classification m5
  • files 7
  • author_summary 6 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M5
Primary method

Mergekit merge

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • merge tag / mergekit / dare-ties in tags or name
  • no unusual architecture pattern (regular merge)
  • no abliteration marker
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

What is a refusal direction? →
Downloads · 30-day
0
Likes
0
Model age
today
created 2026-10-08

Training datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Genealogy 0 direct forks

Full fork graph →

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

Metadata

Tags
transformers.js onnx gemma3_text text-generation mergekit merge dataset:microsoft/rStar-Coder dataset:gokaygokay/prompt-enhancement-75k dataset:gokaygokay/prompt-enhancer-dataset base_model:WithinUsAI/Gemma3-Prompt.Coder.it.Uncensored-270m base_model:quantized:WithinUsAI/Gemma3-Prompt.Coder.it.Uncensored-270m region:us

Related

Total size
0 B
Files
7
Quantizations
1
Registered
2026-10-08 21:58
Last updated on HF
2026-10-08 21:09

Files by quantization

Auxiliary files 7 files 32.9 MB
tokenizer.json 31.8 MB 4667f208 download
tokenizer_config.json 1.10 MB 0cb8ef68 download
README.md 2.90 KB 5568cc2f download
.gitattributes 1.53 KB 52373fe2 download
config.json 1.31 KB 843b2728 download
special_tokens_map.json 662 B 1a619324 download
generation_config.json 132 B 4daf9ca5 download

README current version from Hugging Face


base_model:

  • WithinUsAI/Gemma3-Prompt.Coder.it.Uncensored-270m
    library_name: transformers.js
    tags:
  • mergekit
  • merge
    datasets:
  • microsoft/rStar-Coder
  • gokaygokay/prompt-enhancement-75k
  • gokaygokay/prompt-enhancer-dataset
    pipeline_tag: text-generation

Gemma3-Prompt.Coder.it.Uncensored-270m (ONNX)

This is an ONNX version of WithinUsAI/Gemma3-Prompt.Coder.it.Uncensored-270m. It was automatically converted and uploaded using this Hugging Face Space.

Usage with Transformers.js

See the pipeline documentation for text-generation: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.TextGenerationPipeline


Gemma-3-Prompt-Coder-270m-it (Uncensored)

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

  • huihui-ai-Huihui-gemma-3-270m-it-abliterated
  • AxionLab-official-DogeAI-v1.5-Coder
  • gokaygokay-prompt-enhancer-gemma-3-270m-it
  • broadfield-dev-gemma-3-270m-tuned-0106-1726
  1. This Is a fine-tuned model based on google/gemma-3-270m-it for enhancing and expanding short prompts into detailed, context-rich descriptions.
  2. This is an uncensored version of google/gemma-3-270m-it, achieved through fine-tuning with the TRL framework.
  3. This model is a fine-tuned version of google/gemma-3-270m-it on the microsoft/rStar-Coder dataset.

****Usage Warnings
Risk of Sensitive or Controversial Outputs: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.
Not Suitable for All Audiences: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.
Legal and Ethical Responsibilities: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.
Research and Experimental Use: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.
Monitoring and Review Recommendations: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.
No Default Safety Guarantees: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.

Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration