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OpenCodeInterpreter SC2 3B by m-a-p

 »  All LLMs  »  m-a-p  »  OpenCodeInterpreter SC2 3B   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-SC2-3B 

OpenCodeInterpreter SC2 3B Benchmarks

LLME Score: 0.15484
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenCodeInterpreter SC2 3B (m-a-p/OpenCodeInterpreter-SC2-3B)

OpenCodeInterpreter SC2 3B 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 3B
Repository 🤗https://huggingface.co/m-a-p/OpenCodeInterpreter-SC2-3B 
Model Size3b
Required VRAM6.4 GB
Updated2025-05-31
Maintainerm-a-p
Model Typestarcoder2
Model Files  5.0 GB: 1-of-2   1.4 GB: 2-of-2   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

Best Alternatives to OpenCodeInterpreter SC2 3B

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Context / RAM
Downloads
Likes
Starcoder2 3B16K / 12.1 GB210769189
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NEAR StructTunedStarcoder216K / 6.1 GB190
NEARCoder 3B16K / 6.1 GB100
NEAR PreTrainedStarCoder216K / 6.1 GB130
Bigcode Starcoder2 3B 8bits16K / 3.2 GB130
Starcoder2 3B Instruct16K / 6.1 GB2254
Opencsg Starcoder2 3B V0.116K / 6.4 GB131
Note: green Score (e.g. "73.2") means that the model is better than m-a-p/OpenCodeInterpreter-SC2-3B.

Rank the OpenCodeInterpreter SC2 3B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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