Tiny Starcoder Py by bigcode

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Tiny Starcoder Py Benchmarks

Tiny Starcoder Py (bigcode/tiny_starcoder_py)

Tiny Starcoder Py Parameters and Internals

Model Type 
text generation
Use Cases 
Primary Use Cases:
Assisted Generation
Training Details 
Data Sources:
StarCoderData
Data Volume:
100 billion tokens
Context Length:
8000
Training Time:
18 hours
Hardware Used:
32 Tesla A100 GPUs
Model Architecture:
GPT-2 model with multi-query attention and Fill-in-the-Middle objective
Input Output 
Input Format:
text (Python code)
Output Format:
generated code
LLM NameTiny Starcoder Py
Repository ๐Ÿค—https://huggingface.co/bigcode/tiny_starcoder_py 
Model Size164.1m
Required VRAM0.7 GB
Updated2025-02-22
Maintainerbigcode
Model Typegpt_bigcode
Model Files  0.7 GB   0.7 GB
Generates CodeYes
Model ArchitectureGPTBigCodeForCausalLM
Licensebigcode-openrail-m
Transformers Version4.28.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49152
Torch Data Typefloat32
Activation Functiongelu_pytorch_tanh

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Rank the Tiny Starcoder Py 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