DeepSeek Coder is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese. deepseek-coder-1.3b-base is a 1.3B parameter model with Multi-Head Attention trained on 1 trillion tokens.
DeepSeek Coder 1.3B Base can be customized with your data to improve responses. Fireworks uses LoRA to efficiently train and deploy your personalized model
Learn MoreOn-demand deployments give you dedicated GPUs for DeepSeek Coder 1.3B Base using Fireworks' reliable, high-performance system with no rate limits.
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