PolyCoder 160M by NinedayWang

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  Arxiv:2202.13169   Autotrain compatible   Endpoints compatible   Gpt neox   Pytorch   Region:us   Safetensors

PolyCoder 160M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
PolyCoder 160M (NinedayWang/PolyCoder-160M)
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PolyCoder 160M Parameters and Internals

Model Type 
text generation, code generation
Additional Notes 
Trained across 12 programming languages.
Training Details 
Data Sources:
code
Data Volume:
249 GB
LLM NamePolyCoder 160M
Repository ๐Ÿค—https://huggingface.co/NinedayWang/PolyCoder-160M 
Model Size160m
Required VRAM0.7 GB
Updated2025-07-30
MaintainerNinedayWang
Model Typegpt_neox
Model Files  0.7 GB   0.7 GB
Model ArchitectureGPTNeoXForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.23.1
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50304
Torch Data Typefloat32
Errorsreplace

Best Alternatives to PolyCoder 160M

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Pythia 160M C2s8K / 0.6 GB536
Pythia 160M Xsum Roya2K / 0.6 GB50
Pythia 160M2K / 0.4 GB15093632
Pythia 160m Sft2K / 0 GB90
Sheared Pythia 160M2K / 0.7 GB84
Pythia 160M Deduped2K / 0.4 GB391653
Pythia 160M Dolphin Extended2K / 0.3 GB190
Pythia 160M Storytelling2K / 0.3 GB110
Pythia160m Sft Tldr2K / 0.6 GB100
Pythia 160m Ft CookingRecipes2K / 0.6 GB70
Note: green Score (e.g. "73.2") means that the model is better than NinedayWang/PolyCoder-160M.

Rank the PolyCoder 160M 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 v20241124