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DeepSeek V3.1 by deepseek-ai

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DeepSeek V3.1 is an open-source language model by deepseek-ai. Features: 684.5b LLM, VRAM: 180.4GB, Context: 160K, License: mit, LLM Explorer Score: 0.41.

  Arxiv:2412.19437 Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-...   Conversational   Custom code   Deepseek v3   Endpoints compatible   Fp8   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/deepseek-ai/DeepSeek-V3.1 

DeepSeek V3.1 Benchmarks

LLME Score: 0.40904
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepSeek V3.1 (deepseek-ai/DeepSeek-V3.1)
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DeepSeek V3.1 Parameters and Internals

LLM NameDeepSeek V3.1
Repository 🤗https://huggingface.co/deepseek-ai/DeepSeek-V3.1 
Base Model(s)  deepseek-ai/DeepSeek-V3.1-Base   deepseek-ai/DeepSeek-V3.1-Base
Model Size684.5b
Required VRAM180.4 GB
Updated2026-03-30
Maintainerdeepseek-ai
Model Typedeepseek_v3
Model Files  5.2 GB: 1-of-163   4.3 GB: 2-of-163   4.3 GB: 3-of-163   4.3 GB: 4-of-163   4.3 GB: 5-of-163   4.4 GB: 6-of-163   4.3 GB: 7-of-163   4.3 GB: 8-of-163   4.3 GB: 9-of-163   4.3 GB: 10-of-163   4.3 GB: 11-of-163   1.3 GB: 12-of-163   4.3 GB: 13-of-163   4.3 GB: 14-of-163   4.3 GB: 15-of-163   4.3 GB: 16-of-163   4.3 GB: 17-of-163   4.3 GB: 18-of-163   4.3 GB: 19-of-163   4.3 GB: 20-of-163   4.3 GB: 21-of-163   4.3 GB: 22-of-163   4.3 GB: 23-of-163   4.3 GB: 24-of-163   4.3 GB: 25-of-163   4.3 GB: 26-of-163   4.3 GB: 27-of-163   4.3 GB: 28-of-163   4.3 GB: 29-of-163   4.3 GB: 30-of-163   4.3 GB: 31-of-163   4.3 GB: 32-of-163   4.3 GB: 33-of-163   1.8 GB: 34-of-163   4.3 GB: 35-of-163   4.3 GB: 36-of-163   4.3 GB: 37-of-163   4.3 GB: 38-of-163   4.3 GB: 39-of-163   4.3 GB: 40-of-163   4.3 GB: 41-of-163   4.3 GB: 42-of-163   4.3 GB: 43-of-163
Model ArchitectureDeepseekV3ForCausalLM
Licensemit
Context Length163840
Model Max Length163840
Transformers Version4.44.2
Vocabulary Size129280
Torch Data Typebfloat16

Quantized Models of the DeepSeek V3.1

Model
Likes
Downloads
VRAM
DeepSeek V3.1 4bit628555190 GB
DeepSeek V3.1 8bit315544177 GB
DeepSeek V3.1 AWQ5919119 GB

Best Alternatives to DeepSeek V3.1

Best Alternatives
Context / RAM
Downloads
Likes
Kimi K2 Thinking NVFP4256K / 210 GB1508630
Kimi K2 Thinking BF16256K / 220 GB866
Kimi K2 Thinking256K / 383.2 GB304
Kimi K2 Instruct 0905 BF16256K / 1399.1 GB1564
DeepSeek V3.1 Terminus160K / 171.8 GB7034
DeepSeek V3.1 Base160K / 180.4 GB106441010
DeepSeek V3.1160K / 176.1 GB443
DeepSeek V3.0324160K / 376 GB248
DeepSeek R1160K / 358.8 GB8251
DeepSeek V3 Base160K / 171.8 GB23451684

Rank the DeepSeek V3.1 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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