Pygmalion 2 7B GGUF by TheBloke

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Pygmalion 2 7B GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pygmalion 2 7B GGUF (TheBloke/Pygmalion-2-7B-GGUF)

Pygmalion 2 7B GGUF Parameters and Internals

Model Type 
text generation, instruct
Use Cases 
Primary Use Cases:
Fictional writing for entertainment purposes
Limitations:
Not fine-tuned to be safe and harmless; may contain profanity and texts that are lewd or otherwise offensive., Might produce factually wrong or misleading text
Additional Notes 
The model is based on Llama-2 13B and is known as Metharme in its experimental phase.
Training Details 
Data Sources:
PygmalionAI/PIPPA, Open-Orca/OpenOrca, Norquinal/claude_multiround_chat_30k, jondurbin/airoboros-gpt4-1.4.1, databricks/databricks-dolly-15k
Methodology:
Supervised fine-tuning over a mixture of regular instruction data alongside roleplay, fictional stories, and conversations with synthetically generated instructions.
Model Architecture:
Instruction-tuned Llama-2 biased towards fiction writing and conversation.
Input Output 
Input Format:
Prompting using three tokens: `<|system|>`, `<|user|>`, and `<|model|>`
Accepted Modalities:
text
Output Format:
Text
LLM NamePygmalion 2 7B GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/Pygmalion-2-7B-GGUF 
Model NamePygmalion 2 7B
Model CreatorPygmalionAI
Base Model(s)  Pygmalion 2 7B   PygmalionAI/pygmalion-2-7b
Model Size7b
Required VRAM2.8 GB
Updated2025-04-28
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  2.8 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.1 GB   3.9 GB   4.7 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Pygmalion-2-7B-GGUF.

Rank the Pygmalion 2 7B GGUF 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227