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Pygmalion Free by shapermindai

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  Autotrain compatible   Conversational   En   Endpoints compatible   Gpt neox   Region:us   Safetensors   Tensorboard
Model Card on HF 🤗: https://huggingface.co/shapermindai/pygmalion-free 

Pygmalion Free Benchmarks

LLME Score: 0.1648
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pygmalion Free (shapermindai/pygmalion-free)

Pygmalion Free Parameters and Internals

Model Type 
text generation, conversational
Use Cases 
Primary Use Cases:
The model is intended for conversational use with a specified character persona.
Limitations:
The model is not suitable for minors and can output explicit content., The model is prone to repeating phrases or sentences.
Supported Languages 
en (English)
Training Details 
Data Sources:
Multiple dialogue sources, real and partially machine-generated conversations.
Data Volume:
56MB
Methodology:
Fine-tuning using ColossalAI.
Training Time:
Just under 21 hours
Hardware Used:
A single 24GB GPU
Input Output 
Input Format:
A specified character's persona followed by dialogue history and user input.
Accepted Modalities:
text
Output Format:
Conversational text based on provided input format.
Performance Tips:
Provide example conversations at the beginning of the dialogue history to define the character's speech patterns.
LLM NamePygmalion Free
Repository 🤗https://huggingface.co/shapermindai/pygmalion-free 
Model Size1.3b
Required VRAM2.9 GB
Updated2025-02-22
Maintainershapermindai
Model Typegpt_neox
Model Files  2.9 GB
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseagpl-3.0
Context Length2048
Model Max Length2048
Transformers Version4.25.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50304
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than shapermindai/pygmalion-free.

Rank the Pygmalion Free Capabilities

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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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Release v20241227
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