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DeepSeek Coder V2 Lite Base by deepseek-ai

 »  All LLMs  »  deepseek-ai  »  DeepSeek Coder V2 Lite Base   URL Share it on

  9458   
  Arxiv:2401.06066   Autotrain compatible   Codegen   Conversational   Custom code   Deepseek v2   Endpoints compatible   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Lite-Base 

DeepSeek Coder V2 Lite Base Benchmarks

LLME Score: 0.27258
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 Lite Base (deepseek-ai/DeepSeek-Coder-V2-Lite-Base)

DeepSeek Coder V2 Lite Base Parameters and Internals

Model Type 
Mixture-of-Experts (MoE), code language model
Use Cases 
Areas:
code-specific tasks, math and reasoning, programming languages extension
Applications:
AI code assistance, software development, research in code intelligence
Primary Use Cases:
Code completion, Code insertion, Chatbot assistance for coding queries
Limitations:
Optimal performance requires specified hardware, Compatibility with certain APIs necessary
Additional Notes 
Supported languages expanded to 338 from 86. Allows for commercial use.
Supported Languages 
languages_supported (, programming languages: 338, extended from 86), competence_level (high proficiency in code-specific tasks)
Training Details 
Data Sources:
DeepSeekMoE framework, intermediate checkpoint of DeepSeek-V2, additional 6 trillion tokens
Data Volume:
6 trillion tokens
Methodology:
Mixture-of-experts mechanism for enhanced coding and reasoning
Context Length:
128000
Hardware Used:
BF16 format inference requires 8*80GB GPUs
Model Architecture:
Mixture-of-Experts with active parameters
Input Output 
Input Format:
Prompt-based input
Accepted Modalities:
text
Output Format:
Model-generated text responses
Performance Tips:
Use of specified HF or vLLM frameworks for optimal inference.
LLM NameDeepSeek Coder V2 Lite Base
Repository 🤗https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Lite-Base 
Model Size15.7b
Required VRAM31.4 GB
Updated2024-12-14
Maintainerdeepseek-ai
Model Typedeepseek_v2
Model Files  8.6 GB: 1-of-4   8.6 GB: 2-of-4   8.6 GB: 3-of-4   5.6 GB: 4-of-4
Generates CodeYes
Model ArchitectureDeepseekV2ForCausalLM
Licenseother
Context Length163840
Model Max Length163840
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizerFast
Beginning of Sentence Token<｜begin▁of▁sentence｜>
End of Sentence Token<｜end▁of▁sentence｜>
Vocabulary Size102400
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than deepseek-ai/DeepSeek-Coder-V2-Lite-Base.

Rank the DeepSeek Coder V2 Lite Base 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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Release v20241124
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