LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

DeepSeek Coder V2 Base by deepseek-ai

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

  1260   
  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-Base 

DeepSeek Coder V2 Base Benchmarks

LLME Score: 0.18646
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 Base (deepseek-ai/DeepSeek-Coder-V2-Base)
🌟 Advertise your project 🚀

DeepSeek Coder V2 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 Base
Repository 🤗https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Base 
Model Size235.7b
Required VRAM387 GB
Updated2025-09-23
Maintainerdeepseek-ai
Model Typedeepseek_v2
Model Files  8.6 GB: 1-of-55   8.6 GB: 2-of-55   8.6 GB: 3-of-55   8.6 GB: 4-of-55   8.6 GB: 5-of-55   8.6 GB: 6-of-55   8.6 GB: 7-of-55   8.6 GB: 8-of-55   8.6 GB: 9-of-55   8.6 GB: 10-of-55   8.6 GB: 11-of-55   8.6 GB: 12-of-55   8.6 GB: 13-of-55   8.6 GB: 14-of-55   8.6 GB: 15-of-55   8.6 GB: 16-of-55   8.6 GB: 17-of-55   8.6 GB: 18-of-55   8.6 GB: 19-of-55   8.6 GB: 20-of-55   8.6 GB: 21-of-55   8.6 GB: 22-of-55   8.6 GB: 23-of-55   8.6 GB: 24-of-55   8.6 GB: 25-of-55   8.6 GB: 26-of-55   8.6 GB: 27-of-55   8.6 GB: 28-of-55   8.6 GB: 29-of-55   8.6 GB: 30-of-55   8.6 GB: 31-of-55   8.6 GB: 32-of-55   8.6 GB: 33-of-55   8.6 GB: 34-of-55   8.6 GB: 35-of-55   8.6 GB: 36-of-55   8.6 GB: 37-of-55   8.6 GB: 38-of-55   8.6 GB: 39-of-55   8.6 GB: 40-of-55   8.6 GB: 41-of-55   8.6 GB: 42-of-55   8.6 GB: 43-of-55   8.6 GB: 44-of-55   8.6 GB: 45-of-55
Generates CodeYes
Model ArchitectureDeepseekV2ForCausalLM
Licenseother
Context Length163840
Model Max Length163840
Transformers Version4.39.3
Vocabulary Size102400
Torch Data Typebfloat16

Best Alternatives to DeepSeek Coder V2 Base

Best Alternatives
Context / RAM
Downloads
Likes
DeepSeek Coder V2 Instruct160K / 387 GB12551663
...eepSeek Coder V2 Instruct 0724160K / 378.4 GB1276111
Note: green Score (e.g. "73.2") means that the model is better than deepseek-ai/DeepSeek-Coder-V2-Base.

Rank the DeepSeek Coder V2 Base Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 51544 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
  Support LLM Explorer