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Deepseek Ai Deepseek Coder 7b Instruct V1 5 Coding Scores

Deepseek Ai Deepseek Coder 7b Instruct V1 5 Adding Evaluation Results
Deepseek Ai Deepseek Coder 7b Instruct V1 5 Adding Evaluation Results

Deepseek Ai Deepseek Coder 7b Instruct V1 5 Adding Evaluation Results Deepseek coder 7b instruct v1.5 is continue pre trained from deepseek llm 7b on 2t tokens by employing a window size of 4k and next token prediction objective, and then fine tuned on 2b tokens of instruction data. Massive training data: trained from scratch on 2t tokens, including 87% code and 13% linguistic data in both english and chinese languages. highly flexible & scalable: offered in model sizes of 1b, 5.7b, 6.7b and 33b, enabling users to choose the setup most suitable for their requirements.

Deepseek Ai Deepseek Coder 7b Instruct V1 5 Coding Scores Eroppa
Deepseek Ai Deepseek Coder 7b Instruct V1 5 Coding Scores Eroppa

Deepseek Ai Deepseek Coder 7b Instruct V1 5 Coding Scores Eroppa Deepseek coder 7b instruct v1.5 represents a specialized coding assistant built upon the deepseek llm 7b foundation. the model underwent training on 2t tokens with a 4k window size, followed by fine tuning on 2b tokens of instruction data. Deepseek coder 7b instruct v1.5 is pre trained from deepseek llm 7b on 2t tokens by employing a window size of 4k and next token prediction objective, and then fine tuned on 2b tokens of instruction data. To address this, we introduce the deepseek coder series, a range of open source code models with sizes from 1.3b to 33b, trained from scratch on 2 trillion tokens. these models are pre trained on a high quality project level code corpus and employ a fill in the blank task with a 16k window to enhance code generation and infilling. Enter deepseek coder 7b instruct v1.5—a cutting edge language model that's pushing the boundaries of automated code generation and transforming the way programmers write, debug, and optimize their code.

Commits Prunaai Deepseek Ai Deepseek Coder 7b Instruct V1 5 Bnb 8bit
Commits Prunaai Deepseek Ai Deepseek Coder 7b Instruct V1 5 Bnb 8bit

Commits Prunaai Deepseek Ai Deepseek Coder 7b Instruct V1 5 Bnb 8bit To address this, we introduce the deepseek coder series, a range of open source code models with sizes from 1.3b to 33b, trained from scratch on 2 trillion tokens. these models are pre trained on a high quality project level code corpus and employ a fill in the blank task with a 16k window to enhance code generation and infilling. Enter deepseek coder 7b instruct v1.5—a cutting edge language model that's pushing the boundaries of automated code generation and transforming the way programmers write, debug, and optimize their code. Welcome to your comprehensive guide on utilizing the deepseek coder 7b base v1.5! this ai model is a powerhouse for generating code, and today, we’ll walk you through how to leverage its capabilities precisely. Deepseek coder 7b instruct v1.5 is continue pre trained from deepseek llm 7b on 2t tokens by employing a window size of 4k and next token prediction objective, and then fine tuned on 2b tokens of instruction data. Deepseek coder 7b instruct v1.5 is an advanced language model specifically designed for code generation and understanding. built upon the deepseek llm 7b foundation, this model has undergone extensive pre training on 2t tokens with a 4k token context window, followed by fine tuning on 2b tokens of instruction data. Deepseek ai deepseek coder 7b instruct v1 5 at main the result shows that deepseek coder base 33b significantly outperforms existing open source code llms. compared with codellama 34b, it leads by 7.9%, 9.3%, 10.8% and 5.9% respectively on humaneval python, humaneval multilingual, mbpp and ds 1000. surprisingly, our deepseek coder base 7b.

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 Welcome to your comprehensive guide on utilizing the deepseek coder 7b base v1.5! this ai model is a powerhouse for generating code, and today, we’ll walk you through how to leverage its capabilities precisely. Deepseek coder 7b instruct v1.5 is continue pre trained from deepseek llm 7b on 2t tokens by employing a window size of 4k and next token prediction objective, and then fine tuned on 2b tokens of instruction data. Deepseek coder 7b instruct v1.5 is an advanced language model specifically designed for code generation and understanding. built upon the deepseek llm 7b foundation, this model has undergone extensive pre training on 2t tokens with a 4k token context window, followed by fine tuning on 2b tokens of instruction data. Deepseek ai deepseek coder 7b instruct v1 5 at main the result shows that deepseek coder base 33b significantly outperforms existing open source code llms. compared with codellama 34b, it leads by 7.9%, 9.3%, 10.8% and 5.9% respectively on humaneval python, humaneval multilingual, mbpp and ds 1000. surprisingly, our deepseek coder base 7b.

Deepseek Ai Deepseek Coder 7b Instruct V1 5 At Main Eroppa
Deepseek Ai Deepseek Coder 7b Instruct V1 5 At Main Eroppa

Deepseek Ai Deepseek Coder 7b Instruct V1 5 At Main Eroppa Deepseek coder 7b instruct v1.5 is an advanced language model specifically designed for code generation and understanding. built upon the deepseek llm 7b foundation, this model has undergone extensive pre training on 2t tokens with a 4k token context window, followed by fine tuning on 2b tokens of instruction data. Deepseek ai deepseek coder 7b instruct v1 5 at main the result shows that deepseek coder base 33b significantly outperforms existing open source code llms. compared with codellama 34b, it leads by 7.9%, 9.3%, 10.8% and 5.9% respectively on humaneval python, humaneval multilingual, mbpp and ds 1000. surprisingly, our deepseek coder base 7b.

Deepseek Ai Deepseek Coder 7b Instruct V1 5 At Main Eroppa
Deepseek Ai Deepseek Coder 7b Instruct V1 5 At Main Eroppa

Deepseek Ai Deepseek Coder 7b Instruct V1 5 At Main Eroppa

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