Coding with Llama 3.1, New DeepSeek Coder and Mistral Large
Five new AI models for code editing have been released, with Claude 3.5 Sonnet leading at 77%. DeepSeek Coder V2 0724 excels in SEARCH/REPLACE operations, outperforming others.
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Recently, five new AI models have been released, showcasing various code editing capabilities. The results from aider's code editing leaderboard indicate that Claude 3.5 Sonnet leads with a score of 77%, followed closely by DeepSeek Coder V2 0724 at 73%. The Llama 3.1 405B instruct model scored 66%, while Mistral Large 2 (2407) achieved 60%. The Llama 3.1 70B model scored 59%, and the 8B variant lagged significantly at 38%.
DeepSeek Coder V2 0724 stands out as the most surprising and effective model, particularly due to its enhanced ability to perform SEARCH/REPLACE operations, allowing for efficient editing of large files. In contrast, the Llama 3.1 models, while performing well in evaluations, showed limitations in their ability to use SEARCH/REPLACE effectively, particularly the smaller 70B and 8B models, which are restricted to editing smaller files due to output token limits.
Mistral Large 2 (2407) also struggled with SEARCH/REPLACE functionality, limiting its application to small source files. Overall, while the new models demonstrate promising capabilities, their effectiveness varies significantly, with DeepSeek Coder V2 0724 emerging as a strong contender in the code editing space.
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2 comments 77% claude-3.5-sonnet
73% DeepSeek Coder V2 0724
66% llama-3.1-405b-instruct
60% Mistral Large 2 (2407)
59% llama-3.1-70b-instruct
58% gpt-3.5-turbo-0301
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