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SWE Agent LM 32B by SWE-bench

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  Arxiv:2504.21798   Agent   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Codegen   Conversational   Dataset:swe-bench/swe-smith   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Software engineering   Tensorflow
Model Card on HF 🤗: https://huggingface.co/SWE-bench/SWE-agent-LM-32B 

SWE Agent LM 32B Benchmarks

LLME Score: 0.3638
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SWE Agent LM 32B (SWE-bench/SWE-agent-LM-32B)

SWE Agent LM 32B Parameters and Internals

LLM NameSWE Agent LM 32B
Repository 🤗https://huggingface.co/SWE-bench/SWE-agent-LM-32B 
Base Model(s)  Qwen/Qwen2.5-Coder-32B-Instruct   Qwen/Qwen2.5-Coder-32B-Instruct
Model Size32b
Required VRAM65.8 GB
Updated2025-05-16
MaintainerSWE-bench
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14
Supported Languagesen
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB42
Qwen2.5 Coder 32B YOYO128K / 65.8 GB222
Qwen2.5 32B YOYO MIX128K / 65.7 GB62
QwQ Qwen2.5 Coder Instruct 32B128K / 65.8 GB430
QwQenSeek Coder128K / 65.7 GB195
Rombos Coder V2.5 Qwen 32B128K / 65.8 GB1918
Tessa T1 32B117K / 65.8 GB7720
UIGEN T1.5 32B117K / 65.8 GB8511
Qwen2.5 Coder 32B Instruct32K / 65.8 GB1568351828
Openhands Lm 32B V0.132K / 65.8 GB368630368
Note: green Score (e.g. "73.2") means that the model is better than SWE-bench/SWE-agent-LM-32B.

Rank the SWE Agent LM 32B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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