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OpenCodeInterpreter SC2 15B by m-a-p

 »  All LLMs  »  m-a-p  »  OpenCodeInterpreter SC2 15B   URL Share it on

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  Arxiv:2402.14658   Autotrain compatible   Code   En   Endpoints compatible   Region:us   Safetensors   Sharded   Starcoder2   Tensorflow
Model Card on HF 🤗: https://huggingface.co/m-a-p/OpenCodeInterpreter-SC2-15B 

OpenCodeInterpreter SC2 15B Benchmarks

LLME Score: 0.16325
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenCodeInterpreter SC2 15B (m-a-p/OpenCodeInterpreter-SC2-15B)

OpenCodeInterpreter SC2 15B Parameters and Internals

Model Type 
text generation, code generation
Use Cases 
Areas:
Research, Commercial Applications
Applications:
Code Generation, Code Interpretation
Primary Use Cases:
Generating new code from descriptions, Improving existing code with execution feedback
Limitations:
Not suitable for real-time critical systems without human oversight
Considerations:
The model's outputs should be reviewed by a human expert.
Additional Notes 
OpenCodeInterpreter enhances code generation by integrating feedback mechanisms to improve upon initial outputs over iterations.
LLM NameOpenCodeInterpreter SC2 15B
Repository 🤗https://huggingface.co/m-a-p/OpenCodeInterpreter-SC2-15B 
Model Size15b
Required VRAM31.9 GB
Updated2025-04-03
Maintainerm-a-p
Model Typestarcoder2
Model Files  4.9 GB: 1-of-7   5.0 GB: 2-of-7   5.0 GB: 3-of-7   5.0 GB: 4-of-7   5.0 GB: 5-of-7   5.0 GB: 6-of-7   2.0 GB: 7-of-7   0.0 GB
Supported Languagesen
Model ArchitectureStarcoder2ForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.39.0.dev0
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size49152
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than m-a-p/OpenCodeInterpreter-SC2-15B.

Rank the OpenCodeInterpreter SC2 15B 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 v20241227
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