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MultiPL T StarCoderBase 1B by nuprl

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Model Card on HF 🤗: https://huggingface.co/nuprl/MultiPL-T-StarCoderBase_1b 

MultiPL T StarCoderBase 1b Benchmarks

LLME Score: 0.12775
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MultiPL T StarCoderBase 1B (nuprl/MultiPL-T-StarCoderBase_1b)

MultiPL T StarCoderBase 1B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, academic
Applications:
code generation in low-resource languages
Primary Use Cases:
text generation for Lua, Racket, and OCaml
Additional Notes 
Revision indices for best performing models are available.
Supported Languages 
Lua (high), Racket (high), OCaml (high)
Training Details 
Data Sources:
MultiPL-T dataset available at https://huggingface.co/datasets/nuprl/MultiPL-T
Methodology:
Finetuning
Model Architecture:
Based on StarCoder
Input Output 
Performance Tips:
The model's default configuration does not enable caching, therefore it is recommended to use the cache on generation.
LLM NameMultiPL T StarCoderBase 1b
Repository 🤗https://huggingface.co/nuprl/MultiPL-T-StarCoderBase_1b 
Model Size1b
Required VRAM2.3 GB
Updated2025-01-24
Maintainernuprl
Model Typegpt_bigcode
Model Files  2.3 GB   2.3 GB
Generates CodeYes
Model ArchitectureGPTBigCodeForCausalLM
Licensebigscience-openrail-m
Transformers Version4.40.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49152
Torch Data Typebfloat16
Activation Functiongelu_pytorch_tanh

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Note: green Score (e.g. "73.2") means that the model is better than nuprl/MultiPL-T-StarCoderBase_1b.

Rank the MultiPL T StarCoderBase 1B 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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Release v20241227
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