StarCoder Alpaca by V-YangXu

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  Autotrain compatible   Codegen   Endpoints compatible   Gpt bigcode   Pytorch   Region:us

StarCoder Alpaca Benchmarks

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

Training Details 
Data Sources:
The Stack (v1.2)
Data Volume:
1 trillion tokens
Methodology:
Multi Query Attention, Fill-in-the-Middle objective
Context Length:
8192
LLM NameStarCoder Alpaca
Repository ๐Ÿค—https://huggingface.co/V-YangXu/StarCoder-Alpaca 
Required VRAM31 GB
Updated2025-07-30
MaintainerV-YangXu
Model Typegpt_bigcode
Model Files  31.0 GB   0.0 GB
Generates CodeYes
Model ArchitectureGPTBigCodeForCausalLM
Licenseapache-2.0
Model Max Length1024
Transformers Version4.29.2
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49153
Torch Data Typefloat16
Activation Functiongelu

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Note: green Score (e.g. "73.2") means that the model is better than V-YangXu/StarCoder-Alpaca.

Rank the StarCoder Alpaca 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