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OpenCodeInterpreter CL 70B by m-a-p

 »  All LLMs  »  m-a-p  »  OpenCodeInterpreter CL 70B   URL Share it on

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  Arxiv:2402.14658   Autotrain compatible   Code   Conversational   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/m-a-p/OpenCodeInterpreter-CL-70B 

OpenCodeInterpreter CL 70B Benchmarks

LLME Score: 0.17001
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenCodeInterpreter CL 70B (m-a-p/OpenCodeInterpreter-CL-70B)

OpenCodeInterpreter CL 70B Parameters and Internals

Model Type 
code generation, code execution
Use Cases 
Areas:
research, software development
Applications:
automated coding assistance, code refinement
Primary Use Cases:
source code generation, code execution enhancement
LLM NameOpenCodeInterpreter CL 70B
Repository 🤗https://huggingface.co/m-a-p/OpenCodeInterpreter-CL-70B 
Model Size70b
Required VRAM138.7 GB
Updated2025-02-22
Maintainerm-a-p
Model Typellama
Model Files  4.7 GB: 1-of-29   4.7 GB: 2-of-29   5.0 GB: 3-of-29   5.0 GB: 4-of-29   4.7 GB: 5-of-29   4.7 GB: 6-of-29   4.7 GB: 7-of-29   5.0 GB: 8-of-29   5.0 GB: 9-of-29   4.7 GB: 10-of-29   4.7 GB: 11-of-29   4.7 GB: 12-of-29   5.0 GB: 13-of-29   5.0 GB: 14-of-29   4.7 GB: 15-of-29   4.7 GB: 16-of-29   4.7 GB: 17-of-29   5.0 GB: 18-of-29   5.0 GB: 19-of-29   4.7 GB: 20-of-29   4.7 GB: 21-of-29   4.7 GB: 22-of-29   5.0 GB: 23-of-29   5.0 GB: 24-of-29   4.7 GB: 25-of-29   4.7 GB: 26-of-29   4.7 GB: 27-of-29   5.0 GB: 28-of-29   3.8 GB: 29-of-29   0.0 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32016
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than m-a-p/OpenCodeInterpreter-CL-70B.

Rank the OpenCodeInterpreter CL 70B 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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