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Gemma 2B It Toxic V2.0 by Svenni551

 »  All LLMs  »  Svenni551  »  Gemma 2B It Toxic V2.0   URL Share it on

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  Autotrain compatible Base model:finetune:google/gem...   Base model:google/gemma-2b-it   Conversational Dataset:svenni551/toxic-full-u...   En   Endpoints compatible   Gemma   Generated from trainer   Region:us   Safetensors   Sharded   Tensorflow   Toxic   Trl   Uncensored
Model Card on HF 🤗: https://huggingface.co/Svenni551/gemma-2b-it-toxic-v2.0 

Gemma 2B It Toxic V2.0 Benchmarks

LLME Score: 0.18712
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2B It Toxic V2.0 (Svenni551/gemma-2b-it-toxic-v2.0)

Gemma 2B It Toxic V2.0 Parameters and Internals

Model Type 
uncensored, toxic
Use Cases 
Primary Use Cases:
Research on AI systems trained on uncensored data, Educational purposes on ethical AI development
Additional Notes 
The model is particularly aimed at understanding and generating text from uncensored, toxic data to explore the ethical boundaries of AI.
Training Details 
Data Sources:
uncensored and toxic content from online forums, Svenni551/gemma-2b-it-toxic-dpo-v0.2 generated content
Methodology:
Fine-tuned model
Responsible Ai Considerations 
Mitigation Strategies:
Restricting access to researchers with ethical use cases; implementing safeguards to filter harmful content.
LLM NameGemma 2B It Toxic V2.0
Repository 🤗https://huggingface.co/Svenni551/gemma-2b-it-toxic-v2.0 
Base Model(s)  Gemma 2B It   google/gemma-2b-it
Model Size2b
Required VRAM5.1 GB
Updated2024-12-22
MaintainerSvenni551
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureGemmaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.39.1
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Svenni551/gemma-2b-it-toxic-v2.0.

Rank the Gemma 2B It Toxic V2.0 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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