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DeepSeek V3.1 Terminus by unsloth

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DeepSeek V3.1 Terminus is an open-source language model by unsloth. Features: LLM, VRAM: 171.8GB, Context: 160K, License: mit, LLM Explorer Score: 0.39, ELO: 1416.

  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/unsloth/DeepSeek-V3.1-Terminus 

DeepSeek V3.1 Terminus Benchmarks

LMSys ELO: 1416 vs 1272 (so35)11.3%
LLME Score: 0.38955
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 Terminus (unsloth/DeepSeek-V3.1-Terminus)
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DeepSeek V3.1 Terminus Parameters and Internals

LLM NameDeepSeek V3.1 Terminus
Repository 🤗https://huggingface.co/unsloth/DeepSeek-V3.1-Terminus 
Base Model(s)  deepseek-ai/DeepSeek-V3.1-Terminus   deepseek-ai/DeepSeek-V3.1-Terminus
Required VRAM171.8 GB
Updated2026-03-29
Maintainerunsloth
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
Model ArchitectureDeepseekV3ForCausalLM
Licensemit
Context Length163840
Model Max Length163840
Transformers Version4.56.2
Vocabulary Size129280
Torch Data Typebfloat16

Best Alternatives to DeepSeek V3.1 Terminus

Best Alternatives
Context / RAM
Downloads
Likes
Kimi K2 Thinking NVFP4256K / 210 GB482029
Kimi K2 Thinking BF16256K / 220 GB866
Kimi K2 Thinking256K / 383.2 GB304
DeepSeek V3.1160K / 180.4 GB150107819
DeepSeek V3.1 Base160K / 180.4 GB106441010
DeepSeek V3.1160K / 176.1 GB443
DeepSeek V3.0324160K / 376 GB358
DeepSeek R1160K / 358.8 GB7751
DeepSeek V3 Base160K / 171.8 GB23451684
DeepSeek R1 0528 FP4160K / 107 GB7299136
Note: green Score (e.g. "73.2") means that the model is better than unsloth/DeepSeek-V3.1-Terminus.

Rank the DeepSeek V3.1 Terminus 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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