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DeepSeek V2.5 by deepseek-ai

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DeepSeek V2.5 is an open-source language model by deepseek-ai. Features: 235.7b LLM, VRAM: 378.4GB, Context: 160K, License: other, LLM Explorer Score: 0.38, ELO: 1307.

  Arxiv:2405.04434   Conversational   Custom code   Deepseek v2   Endpoints compatible   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/deepseek-ai/DeepSeek-V2.5 

DeepSeek V2.5 Benchmarks

LMSys ELO: 1307 vs 1272 (so35)2.8%
LLME Score: 0.37574
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepSeek V2.5 (deepseek-ai/DeepSeek-V2.5)
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DeepSeek V2.5 Parameters and Internals

Model Type 
general, coding
Additional Notes 
Supports function calling, JSON output, and FIM completion.
Input Output 
Input Format:
Chat-based template format using user-assistant roles.
Accepted Modalities:
text
Performance Tips:
Inference can be performed with Huggingface's Transformers or vLLM.
LLM NameDeepSeek V2.5
Repository 🤗https://huggingface.co/deepseek-ai/DeepSeek-V2.5 
Model Size235.7b
Required VRAM378.4 GB
Updated2026-04-10
Maintainerdeepseek-ai
Model Typedeepseek_v2
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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

Best Alternatives to DeepSeek V2.5

Best Alternatives
Context / RAM
Downloads
Likes
DeepSeek V2.5 1210160K / 378.4 GB1388256
DeepSeek Coder V2 Instruct160K / 387 GB8374682
DeepSeek Coder V2 Base160K / 387 GB18881
...eepSeek Coder V2 Instruct 0724160K / 378.4 GB15520115
DeepSeek V2 Chat160K / 378.4 GB16871460
DeepSeek V2160K / 378.4 GB16802333
DeepSeek V2 Chat 0628160K / 369.8 GB236177

Rank the DeepSeek V2.5 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  

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