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Pygmalion 13B Merged by TehVenom

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  1859   
  Autotrain compatible   Conversational   En   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/TehVenom/Pygmalion-13b-Merged 

Pygmalion 13B Merged Benchmarks

ARC: 56.48 vs 96.7 (so35)-41.6%
HellaSwag: 80.02 vs 95.3 (gpt4)-16%
MMLU: 42.93 vs 88.3 (so35)-51.4%
TruthfulQA: 35.86 vs 59 (gpt4)-39.2%
WinoGrande: 75.53 vs 87.5 (gpt4)-13.7%
GSM8K: 0.08 vs 96.4 (so35)-99.9%
LLME Score: 0.13302
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pygmalion 13B Merged (TehVenom/Pygmalion-13b-Merged)
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Pygmalion 13B Merged Parameters and Internals

Model Type 
conversational, text generation
Additional Notes 
The model includes XOR files pre-applied out of the box.
Training Details 
Data Sources:
Pygmalion-6B-v8-pt4
Methodology:
LoRA fine-tuning merged into base model
Input Output 
Input Format:
[CHARACTER]'s Persona: [A few sentences about the character you want the model to play] [DIALOGUE HISTORY] You: [User's input message here] [CHARACTER]:
Accepted Modalities:
text
Output Format:
Text-based responses ending with end-of-text token (~~) when judged complete.
Performance Tips:
Ensure correct prompt format to manage BOS token generation.
LLM NamePygmalion 13B Merged
Repository 🤗https://huggingface.co/TehVenom/Pygmalion-13b-Merged 
Model Size13b
Required VRAM26 GB
Updated2025-09-04
MaintainerTehVenom
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.30.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TehVenom/Pygmalion-13b-Merged.

Rank the Pygmalion 13B Merged 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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Release v20241124
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