I want to implement code completion based on the company's self-developed component source code fine-tuning model. How should I build the dataset? Is instruction based dialogue generation code built in this form? { "input":"#write a quick sort algorithm" "output":"your quick sort algorithm ...
Clone the repo:git clone https://github.com/YOUR_USERNAME/deepseek-coder Create a.envfile and add yourDeepSeek API key:DEEPSEEK_API_KEY= Runnpm installandnpm run devto install dependencies and run locally This is a personal project and not affiliated with DeepSeek ...
Large-Scale Training: DeepSeek-V2 was trained on 8.1 trillion tokens from a diverse, high-quality dataset. Advanced Fine-Tuning: After pretraining, the model underwent Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) to enhance its capabilities. Proven Performance: Evaluation results sho...
After a sufficient number of steps our trained algorithm converges to some reward value. We can finish training or try to fine-tune the parameters and continue training. Note, that the number of training steps needed to reach the maximum possible reward strongly depends on your problem, reward ...
It means twice, of seek us the swannit suits. Is there ESP? For those aver disloca – I need Pound, I need Kate. I need more than a weapon. This is sharp, so get headed downhill. Clippin’ lower helt. What you’re keepin’ to yourself; why you in such a hurry, nervous? I...
Hi everyone, I was wondering how the following completion demo was done in VSCode? I didn't see any information on the readme about it? Maybe I missed it somewhere? https://github.com/deepseek-ai/DeepSeek-Coder/blob/main/pictures/completion_demo.gif...
Thanks for such great work, the article mentions continuing pre-training in 6T of data, how many tokens have been trained approximately corresponding to the loaded checkpoint?
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence - How to evaluate on defects4j? · Issue #39 · deepseek-ai/DeepSeek-Coder-V2