Chat GPT2 by Arjun-G-Ravi

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  Autotrain compatible Base model:finetune:openai-com... Base model:openai-community/gp...   Biology   Chemistry Dataset:muskumpillerum/general...   En   Endpoints compatible   Gpt2   Pytorch   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/Arjun-G-Ravi/chat-GPT2 

Chat GPT2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chat GPT2 (Arjun-G-Ravi/chat-GPT2)

Chat GPT2 Parameters and Internals

Model Type 
text generation, question-answering
Use Cases 
Areas:
research, commercial applications
Applications:
chatbots, question-answering systems
Primary Use Cases:
general knowledge answering, inference tasks
Considerations:
This model has all the biases, risks, and limitations of the base GPT2 model.
Additional Notes 
Fine-tuned on specific datasets to enhance performance in Q&A contexts.
Supported Languages 
en (English)
Training Details 
Data Sources:
MuskumPillerum/General-Knowledge
Methodology:
Fine-tuning
Input Output 
Input Format:
Prompt: 'Read the question and give an honest answer. Your answers should not include any unethical, racist, sexist, dangerous, or illegal content.'
Accepted Modalities:
text
Output Format:
Human-readable text
Performance Tips:
Use specified inference parameters for optimal results.
LLM NameChat GPT2
Repository ๐Ÿค—https://huggingface.co/Arjun-G-Ravi/chat-GPT2 
Base Model(s)  Gpt2   openai-community/gpt2
Model Size124.4m
Required VRAM0.5 GB
Updated2025-05-12
MaintainerArjun-G-Ravi
Model Typegpt2
Model Files  0.5 GB   0.5 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Licensemit
Model Max Length1024
Transformers Version4.32.0.dev0
Tokenizer ClassGPT2Tokenizer
Padding Token<|pad|>
Vocabulary Size50259
Torch Data Typefloat32
Activation Functiongelu_new

Best Alternatives to Chat GPT2

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Tiny2GPT0K / 0.5 GB310
My Finetuned GPT0K / 0.5 GB80
Real Model Fp 10K / 0.5 GB140
General Model Fp 10K / 0.5 GB130
Realmodel0K / 0.5 GB210
Note: green Score (e.g. "73.2") means that the model is better than Arjun-G-Ravi/chat-GPT2.

Rank the Chat GPT2 Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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 v20241227