SWE-bench is a benchmark for evaluating Language Models and AI Systems on their ability resolve real world GitHub Issues.
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a model
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Lugha-Llama/Lugha-Llama-8B-wura_math_
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a model
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Lugha-Llama/Lugha-Llama-8B-wura_
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a model
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Lugha-Llama/Lugha-Llama-8B-wura_edu_
Organizations
models
259
princeton-nlp/Llama-3-8B-ProLong-512k-Instruct
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princeton-nlp/Llama-3-8B-ProLong-512k-Base
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princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
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princeton-nlp/Llama-3-8B-ProLong-64k-Base
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princeton-nlp/Mistral-7B-Base-SFT-CPO
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princeton-nlp/Mistral-7B-Base-SFT-RRHF
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princeton-nlp/gemma-2-9b-it-SimPO
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princeton-nlp/gemma-2-9b-it-DPO
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princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2
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2.87k
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princeton-nlp/Llama-3-Instruct-8B-RDPO-v0.2
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2.61k
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datasets
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princeton-nlp/fineweb_edu-swahili-translated
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137k
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princeton-nlp/SWE-bench_Verified
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500
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46.5k
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princeton-nlp/SWE-bench
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21.5k
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22.8k
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princeton-nlp/prolong-ultrachat-64K
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45
princeton-nlp/HELMET
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516
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172
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princeton-nlp/SWE-bench_Multimodal
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619
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219
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princeton-nlp/prolong-data-64K
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12.7k
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princeton-nlp/prolong-data-512K
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7.59k
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princeton-nlp/CharXiv
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2.32k
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517
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princeton-nlp/gemma2-ultrafeedback-armorm
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61.5k
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629
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