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DeepSeek Coder V2 Instruct by deepseek-ai

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  Arxiv:2401.06066   Autotrain compatible Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a...   Codegen   Conversational   Custom code   Deepseek v2   Endpoints compatible   Instruct   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Instruct 

DeepSeek Coder V2 Instruct Benchmarks

LMSys ELO: 1193 vs 1272 (so35)-6.2%
LLME Score: 0.36521
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepSeek Coder V2 Instruct (deepseek-ai/DeepSeek-Coder-V2-Instruct)
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DeepSeek Coder V2 Instruct Parameters and Internals

Model Type 
Mixture-of-Experts, code language model
Use Cases 
Areas:
code intelligence, mathematical reasoning
Applications:
OpenAI-Compatible API, DeepSeek Platform
Supported Languages 
programming_languages_supported (86-338)
Training Details 
Data Volume:
6 trillion tokens
Methodology:
Continued pre-training
Context Length:
128000
Model Architecture:
DeepSeekMoE framework
Input Output 
Input Format:
Code and chat prompts
Accepted Modalities:
text
Output Format:
Generated codes or chat responses
Release Notes 
Version:
V2
Notes:
Expanded support for programming languages from 86 to 338, context length from 16K to 128K, enhanced coding and mathematical reasoning capabilities.
LLM NameDeepSeek Coder V2 Instruct
Repository 🤗https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Instruct 
Base Model(s)  DeepSeek Coder V2 Base   deepseek-ai/DeepSeek-Coder-V2-Base
Model Size235.7b
Required VRAM387 GB
Updated2025-10-20
Maintainerdeepseek-ai
Model Typedeepseek_v2
Instruction-BasedYes
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Generates CodeYes
Model ArchitectureDeepseekV2ForCausalLM
Licenseother
Context Length163840
Model Max Length163840
Transformers Version4.39.3
Vocabulary Size102400
Torch Data Typebfloat16

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Rank the DeepSeek Coder V2 Instruct Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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