an open-source Mixture-of-Experts (MoE) code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks. Specifically, DeepSeek-Coder-V2 is further pre-trained from an intermediate checkpoint of DeepSeek-V2 with additional 6 trillion tokens. DeepSeek-Coder-V2 expands its support for programming languages from 86 to 338, while extending the context length from 16K to 128K.
DeepSeek Coder V2 Lite 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 V2 Lite Base using Fireworks' reliable, high-performance system with no rate limits.
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