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Yi Coder 9b Small But Mighty Coding Models Match Deepseek Coder 33b

Yi Coder 9b Small But Mighty Coding Models Match Deepseek Coder 33b
Yi Coder 9b Small But Mighty Coding Models Match Deepseek Coder 33b

Yi Coder 9b Small But Mighty Coding Models Match Deepseek Coder 33b As illustrated in the figure below, yi coder 9b chat achieved an impressive 23% pass rate in livecodebench, making it the only model with under 10b parameters to surpass 20%. it also outperforms deepseekcoder 33b ins at 22.3%, codegeex4 9b all at 17.8%, codellama 34b ins at 13.3%, and codeqwen1.5 7b chat at 12%. Yi 9b is almost the best among a range of similar sized open source models (including mistral 7b, solar 10.7b, gemma 7b, deepseek coder 7b base v1.5 and more), particularly excelling in code, math, common sense reasoning, and reading comprehension.

Deepseek Ai Deepseek Coder 33b Instruct A Hugging Face Space By
Deepseek Ai Deepseek Coder 33b Instruct A Hugging Face Space By

Deepseek Ai Deepseek Coder 33b Instruct A Hugging Face Space By Yi coder : series of open source code llms with state of the art coding performance with fewer than 10 billion parameters ๐—ž๐—ฒ๐˜† ๐—ณ๐—ฒ๐—ฎ๐˜๐˜‚๐—ฟ๐—ฒ๐˜€: excelling in long context. Despite their compact size, yi coder models deliver exceptional performance. choose from the 1.5b or 9b parameter version, each with base and chat options. The video discusses the emergence of smaller open source coding models, particularly focusing on yi coder, which has been released in two sizes: 1.5 billion and 9 billion parameters. This allows developers to maintain privacy, speed up development and coding time, and work without relying on a constant internet connection. this article explores three open source coding models: deepseek coder v2 lite, yi coder 9b chat, and qwen 2.5 coder 7b, which support local coding.

Deepseek Coder 33b
Deepseek Coder 33b

Deepseek Coder 33b The video discusses the emergence of smaller open source coding models, particularly focusing on yi coder, which has been released in two sizes: 1.5 billion and 9 billion parameters. This allows developers to maintain privacy, speed up development and coding time, and work without relying on a constant internet connection. this article explores three open source coding models: deepseek coder v2 lite, yi coder 9b chat, and qwen 2.5 coder 7b, which support local coding. Yi coder 9b is 01 aiโ€™s dedicated coding model, released in august 2024 as part of the yi model family. at ~8.8b parameters with an apache 2.0 license, it sits in the competitive mid range coding model tier โ€” fighting for space alongside qwen2.5 coder 7b and deepseek coder 6.7b. Learn how yi coder 9b chat is revolutionizing code generation, completion, and debugging. with a maximum context length of 128k tokens and support for 52 major programming languages, this open source model outperforms larger models like deepseek coder 33b instruct and codellama 34b instruct. In this technical report, we introduce a series of specialized large language models (llms) for coding, named deepseek coder, available in three distinct scales: 1.3b, 6.7b, and 33b parameters. We evaluate deepseek coder on various coding related benchmarks. the result shows that deepseek coder base 33b significantly outperforms existing open source code llms.

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