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CodeQwen1.5 7B OpenDevin by OpenDevin

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  Autotrain compatible   Conversational   En   Endpoints compatible   Pytorch   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/OpenDevin/CodeQwen1.5-7B-OpenDevin 

CodeQwen1.5 7B OpenDevin Benchmarks

LLME Score: 0.19112
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeQwen1.5 7B OpenDevin (OpenDevin/CodeQwen1.5-7B-OpenDevin)

CodeQwen1.5 7B OpenDevin Parameters and Internals

Model Type 
text-generation, code understanding, code generation
Use Cases 
Primary Use Cases:
rapid development, debugging, iteration
Limitations:
Performance behind GPT-4
Additional Notes 
This is a finetuning experiment with plans for future updates to datasets and models.
Training Details 
Methodology:
Finetuned from CodeQwen1.5-7B
Context Length:
65536
LLM NameCodeQwen1.5 7B OpenDevin
Repository 🤗https://huggingface.co/OpenDevin/CodeQwen1.5-7B-OpenDevin 
Model Size7b
Required VRAM14.5 GB
Updated2024-09-12
MaintainerOpenDevin
Model Typeqwen2
Model Files  14.5 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Context Length65536
Model Max Length65536
Transformers Version4.39.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<fim_pad>
Vocabulary Size92416
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than OpenDevin/CodeQwen1.5-7B-OpenDevin.

Rank the CodeQwen1.5 7B OpenDevin 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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