KwaiCoder DS V2 Lite Base by Kwaipilot

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  Autotrain compatible   Code-generation   Conversational   Custom code   Deepseek v2   Endpoints compatible   Multilingual   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

KwaiCoder DS V2 Lite Base Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

KwaiCoder DS V2 Lite Base Parameters and Internals

LLM NameKwaiCoder DS V2 Lite Base
Repository 🤗https://huggingface.co/Kwaipilot/KwaiCoder-DS-V2-Lite-Base 
Model Size15.7b
Required VRAM31.4 GB
Updated2025-08-22
MaintainerKwaipilot
Model Typedeepseek_v2
Model Files  10.0 GB: 1-of-4   10.0 GB: 2-of-4   10.0 GB: 3-of-4   1.4 GB: 4-of-4   10.0 GB: 1-of-4   10.0 GB: 2-of-4   10.0 GB: 3-of-4   1.4 GB: 4-of-4
Model ArchitectureDeepseekV2ForCausalLM
Licensemit
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 Kwaipilot/KwaiCoder-DS-V2-Lite-Base.

Rank the KwaiCoder DS 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124