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SWE Llama 7B by princeton-nlp

 »  All LLMs  »  princeton-nlp  »  SWE Llama 7B   URL Share it on

  1282   
  Arxiv:2308.12950   Arxiv:2310.06770   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/princeton-nlp/SWE-Llama-7b 

SWE Llama 7B Benchmarks

LLME Score: 0.12987
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SWE Llama 7B (princeton-nlp/SWE-Llama-7b)
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SWE Llama 7B Parameters and Internals

Model Type 
transformer
Additional Notes 
Model focuses on generating patches to resolve GitHub issues, conditioned on issue description and code context.
Supported Languages 
Python (Proficient)
Training Details 
Data Sources:
37 popular Python code repositories
Data Volume:
19,000 issues and pull requests
Methodology:
Fine-tuned only the attention matrices using LoRA method
Model Architecture:
Transformer, based on CodeLlama
LLM NameSWE Llama 7B
Repository 🤗https://huggingface.co/princeton-nlp/SWE-Llama-7b 
Model Size7b
Required VRAM13.5 GB
Updated2025-08-23
Maintainerprinceton-nlp
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length16384
Model Max Length16384
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than princeton-nlp/SWE-Llama-7b.

Rank the SWE Llama 7B Capabilities

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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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