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Pygmalion 350M by PygmalionAI

 »  All LLMs  »  PygmalionAI  »  Pygmalion 350M   URL Share it on

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  Autotrain compatible   Convai   Conversational   En   Opt   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/PygmalionAI/pygmalion-350m 

Pygmalion 350M Benchmarks

ARC: 25 vs 96.7 (so35)-74.1%
HellaSwag: 37.8 vs 95.3 (gpt4)-60.3%
MMLU: 25.68 vs 88.3 (so35)-70.9%
TruthfulQA: 40.41 vs 59 (gpt4)-31.5%
WinoGrande: 50.28 vs 87.5 (gpt4)-42.5%
GSM8K: 0.53 vs 96.4 (so35)-99.5%
LLME Score: 0.12719
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pygmalion 350M (PygmalionAI/pygmalion-350m)
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Pygmalion 350M Parameters and Internals

Model Type 
conversational
Additional Notes 
NSFW data was included in fine-tuning. SFW inputs may result in SFW outputs, but there's no guarantee.
Training Details 
Data Sources:
dialogue datasets from various sources
Data Volume:
273 KB
Methodology:
Fine-tuning using ColossalAI library
Training Time:
less than an hour
Hardware Used:
singular GPU with 6 GB of VRAM
LLM NamePygmalion 350M
Repository 🤗https://huggingface.co/PygmalionAI/pygmalion-350m 
Model Size350m
Required VRAM1.3 GB
Updated2025-07-31
MaintainerPygmalionAI
Model Typeopt
Model Files  1.3 GB
Supported Languagesen
Model ArchitectureOPTForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.20.0.dev0
Beginning of Sentence Token</s>
End of Sentence Token</s>
Unk Token</s>
Vocabulary Size50272
Torch Data Typefloat16
Activation Functionrelu
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than PygmalionAI/pygmalion-350m.

Rank the Pygmalion 350M Capabilities

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Instruction Following and Task Automation  
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Release v20241124
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