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Pygmalion 2 7B GPTQ by TheBloke

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Pygmalion 2 7B GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 3.9GB, Context: 4K, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.09.

  4-bit Base model:pygmalionai/pygmali... Base model:quantized:pygmalion... Dataset:databricks/databricks-... Dataset:jondurbin/airoboros-gp... Dataset:norquinal/claude multi...   Dataset:open-orca/openorca   Dataset:pygmalionai/pippa   En   Gptq   Instruct   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Pygmalion-2-7B-GPTQ 

Pygmalion 2 7B GPTQ Benchmarks

LLME Score: 0.09402
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 GPTQ (TheBloke/Pygmalion-2-7B-GPTQ)
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Pygmalion 2 7B GPTQ Parameters and Internals

Model Type 
text generation, instruct, conversation, roleplaying, storywriting
Use Cases 
Areas:
Fictional writing, entertainment
Limitations:
Outputs may be factually wrong or misleading., Potential to produce socially unacceptable or undesirable text., May contain profanity and texts that are lewd or offensive.
Considerations:
Not fine-tuned to be safe and harmless.
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 attached.
Model Architecture:
Based on Llama-2 13B
Input Output 
Input Format:
Multi-role prompt format using `<|system|>`, `<|user|>`, and `<|model|>` tokens.
LLM NamePygmalion 2 7B GPTQ
Repository 🤗https://huggingface.co/TheBloke/Pygmalion-2-7B-GPTQ 
Model NamePygmalion 2 7B
Model CreatorPygmalionAI
Base Model(s)  Pygmalion 2 7B   PygmalionAI/pygmalion-2-7b
Model Size7b
Required VRAM3.9 GB
Updated2026-03-29
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  3.9 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.33.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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

Rank the Pygmalion 2 7B GPTQ 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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