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Starcoderbase 7B by smallcloudai

 »  All LLMs  »  smallcloudai  »  Starcoderbase 7B   URL Share it on

  10   
  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   Sharded
Model Card on HF 🤗: https://huggingface.co/smallcloudai/starcoderbase-7b 

Starcoderbase 7B Benchmarks

LLME Score: 0.11251
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Starcoderbase 7B (smallcloudai/starcoderbase-7b)
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Starcoderbase 7B Parameters and Internals

Model Type 
text-generation
Use Cases 
Primary Use Cases:
Generating code from GitHub source code
Limitations:
Not guaranteed to work as intended, Generated code can be inefficient, contain bugs, or exploits
Considerations:
Must respect licenses of the generated code, which may require attribution.
Additional Notes 
The model is not an instruction model and requires specific prompts to perform well, like the Tech Assistant prompt.
Supported Languages 
Programming Languages (80+ programming languages)
Training Details 
Data Sources:
The Stack (v1.2)
Data Volume:
1 trillion tokens
Methodology:
Fill-in-the-Middle objective
Context Length:
8192
Hardware Used:
512 Tesla A100 GPUs
Model Architecture:
GPT-2 model with multi-query attention
LLM NameStarcoderbase 7B
Repository 🤗https://huggingface.co/smallcloudai/starcoderbase-7b 
Model Size7b
Required VRAM30.2 GB
Updated2025-05-30
Maintainersmallcloudai
Model Typegpt_bigcode
Model Files  9.9 GB: 1-of-4   10.0 GB: 2-of-4   9.5 GB: 3-of-4   0.8 GB: 4-of-4
Generates CodeYes
Model ArchitectureGPTBigCodeForCausalLM
Licensebigcode-openrail-m
Transformers Version4.28.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49152
Torch Data Typefloat32
Activation Functiongelu

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Note: green Score (e.g. "73.2") means that the model is better than smallcloudai/starcoderbase-7b.

Rank the Starcoderbase 7B Capabilities

🆘 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! 🌟

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 v20241124
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