Starcoderbase 1B by smallcloudai

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  Arxiv:1911.02150   Arxiv:2205.14135   Arxiv:2207.14255   Arxiv:2305.06161   Autotrain compatible   Code   Codegen Dataset:bigcode/the-stack-dedu...   Endpoints compatible   Gpt bigcode   Model-index   Pytorch   Region:us   Safetensors

Starcoderbase 1B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Starcoderbase 1B (smallcloudai/starcoderbase-1b)

Starcoderbase 1B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, technical assistance
Applications:
code generation
Primary Use Cases:
technical assistance with the Tech Assistant prompt
Limitations:
No guarantee of working code, potential bugs or exploits
Considerations:
Generated code may require attribution.
Additional Notes 
The model may output verbatim blocks of code or special tokens from the training data.
Supported Languages 
programming_languages (80+), natural_languages (English (predominant) and others)
Training Details 
Data Sources:
GitHub code
Data Volume:
1 trillion tokens
Methodology:
Fill-in-the-Middle objective
Context Length:
8192
Training Time:
11 days
Hardware Used:
128 Tesla A100 GPUs
Model Architecture:
GPT-2 with multi-query attention
Input Output 
Input Format:
text prompt
Accepted Modalities:
text
Output Format:
generated text
LLM NameStarcoderbase 1B
Repository ๐Ÿค—https://huggingface.co/smallcloudai/starcoderbase-1b 
Model Size1b
Required VRAM4.5 GB
Updated2025-02-05
Maintainersmallcloudai
Model Typegpt_bigcode
Model Files  4.5 GB   4.5 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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Note: green Score (e.g. "73.2") means that the model is better than smallcloudai/starcoderbase-1b.

Rank the Starcoderbase 1B Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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