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DeepSeek Coder V2 Instruct

Ready

DeepSeek Coder V2 Instruct is a 236-billion-parameter open-source Mixture-of-Experts (MoE) code language model with 21 billion active parameters, developed by DeepSeek AI. Fine-tuned for instruction following, it achieves performance comparable to GPT4-Turbo on code-specific tasks. Pre-trained on an additional 6 trillion tokens, it enhances coding and mathematical reasoning capabilities, supports 338 programming languages, and extends context length from 16K to 128K while maintaining strong general language performance.

DeepSeek Coder V2 Instruct API Features

Fine-tuning

Docs

DeepSeek Coder V2 Instruct can be customized with your data to improve responses. Fireworks uses LoRA to efficiently train and deploy your personalized model

On-demand Deployment

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On-demand deployments give you dedicated GPUs for DeepSeek Coder V2 Instruct using Fireworks' reliable, high-performance system with no rate limits.

Metadata

State
Ready
Created on
11 JUL, 2024
Kind
Base model
Provider
Fireworks

Specifications

Calibrated
No
Mixture-of-Experts
Yes
Parameters
235B

Supporting Functionality

Fine-tuning
Supported
Serverless
Not Supported
Context Length
32.7k tokens
Function Calling
Not Supported
Embeddings
Not Supported
Rerankers
Not Supported
Supporting image input
Not Supported

DeepSeek Coder V2 Instruct FAQs

DeepSeek Coder V2 Instruct is a 236B-parameter Mixture-of-Experts (MoE) instruction-tuned code model developed by DeepSeek AI. It is fine-tuned for instruction-following behavior and achieves performance comparable to GPT-4 Turbo on code and math tasks.