SWE BENCH 500 Set Claude Related Localization With Reasoning Qwen Code 7B Test Swe by secmlr

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Codegen   Conversational   Endpoints compatible   Full   Generated from trainer   Instruct   Llama-factory   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

SWE BENCH 500 Set Claude Related Localization With Reasoning Qwen Code 7B Test Swe Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SWE BENCH 500 Set Claude Related Localization With Reasoning Qwen Code 7B Test Swe (secmlr/SWE-BENCH-500-set-claude-related-localization-with-reasoning_qwen_code_7B_test_swe)
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SWE BENCH 500 Set Claude Related Localization With Reasoning Qwen Code 7B Test Swe Parameters and Internals

LLM NameSWE BENCH 500 Set Claude Related Localization With Reasoning Qwen Code 7B Test Swe
Repository ๐Ÿค—https://huggingface.co/secmlr/SWE-BENCH-500-set-claude-related-localization-with-reasoning_qwen_code_7B_test_swe 
Base Model(s)  Qwen/Qwen2.5-Coder-7B-Instruct   Qwen/Qwen2.5-Coder-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2025-04-15
Maintainersecmlr
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   0.0 GB
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than secmlr/SWE-BENCH-500-set-claude-related-localization-with-reasoning_qwen_code_7B_test_swe.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124