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DeepSeek V3.1 Base Int4 Mixed AutoRound by Intel

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DeepSeek V3.1 Base Int4 Mixed AutoRound is an open-source language model by Intel. Features: LLM, VRAM: 220GB, Context: 160K, LLM Explorer Score: 0.22.

  Arxiv:2309.05516   4-bit   Auto-round Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-...   Conversational   Custom code   Deepseek v3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Intel/DeepSeek-V3.1-Base-int4-mixed-AutoRound 

DeepSeek V3.1 Base Int4 Mixed AutoRound Benchmarks

LLME Score: 0.21871
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 Base Int4 Mixed AutoRound (Intel/DeepSeek-V3.1-Base-int4-mixed-AutoRound)
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DeepSeek V3.1 Base Int4 Mixed AutoRound Parameters and Internals

LLM NameDeepSeek V3.1 Base Int4 Mixed AutoRound
Repository 🤗https://huggingface.co/Intel/DeepSeek-V3.1-Base-int4-mixed-AutoRound 
Base Model(s)  deepseek-ai/DeepSeek-V3.1-Base   deepseek-ai/DeepSeek-V3.1-Base
Required VRAM220 GB
Updated2025-09-12
MaintainerIntel
Model Typedeepseek_v3
Model Files  5.0 GB: 1-of-72   5.0 GB: 2-of-72   5.0 GB: 3-of-72   5.0 GB: 4-of-72   5.0 GB: 5-of-72   5.0 GB: 6-of-72   5.0 GB: 7-of-72   5.0 GB: 8-of-72   5.0 GB: 9-of-72   5.0 GB: 10-of-72   5.0 GB: 11-of-72   5.0 GB: 12-of-72   5.0 GB: 13-of-72   5.0 GB: 14-of-72   5.0 GB: 15-of-72   5.0 GB: 16-of-72   5.0 GB: 17-of-72   5.0 GB: 18-of-72   5.0 GB: 19-of-72   5.0 GB: 20-of-72   5.0 GB: 21-of-72   5.0 GB: 22-of-72   5.0 GB: 23-of-72   5.0 GB: 24-of-72   5.0 GB: 25-of-72   5.0 GB: 26-of-72   5.0 GB: 27-of-72   5.0 GB: 28-of-72   5.0 GB: 29-of-72   5.0 GB: 30-of-72   5.0 GB: 31-of-72   5.0 GB: 32-of-72   5.0 GB: 33-of-72   5.0 GB: 34-of-72   5.0 GB: 35-of-72   5.0 GB: 36-of-72   5.0 GB: 37-of-72   5.0 GB: 38-of-72   5.0 GB: 39-of-72   5.0 GB: 40-of-72   5.0 GB: 41-of-72   5.0 GB: 42-of-72   5.0 GB: 43-of-72   5.0 GB: 44-of-72
Model ArchitectureDeepseekV3ForCausalLM
Context Length163840
Model Max Length163840
Transformers Version4.55.2
Vocabulary Size129280
Torch Data Typebfloat16

Best Alternatives to DeepSeek V3.1 Base Int4 Mixed AutoRound

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 Terminus160K / 171.8 GB11934
DeepSeek V3.1 Base160K / 180.4 GB106441010
DeepSeek V3.1160K / 176.1 GB443
DeepSeek V3.0324160K / 376 GB358
DeepSeek R1160K / 358.8 GB8251
DeepSeek V3 Base160K / 171.8 GB23451684
Note: green Score (e.g. "73.2") means that the model is better than Intel/DeepSeek-V3.1-Base-int4-mixed-AutoRound.

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