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DeepSeek V3.1 Int4 Mixed AutoRound by Intel

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  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-int4-mixed-AutoRound 

DeepSeek V3.1 Int4 Mixed AutoRound Benchmarks

LLME Score: 0.35122
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 Int4 Mixed AutoRound (Intel/DeepSeek-V3.1-int4-mixed-AutoRound)
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DeepSeek V3.1 Int4 Mixed AutoRound Parameters and Internals

LLM NameDeepSeek V3.1 Int4 Mixed AutoRound
Repository 🤗https://huggingface.co/Intel/DeepSeek-V3.1-int4-mixed-AutoRound 
Base Model(s)  deepseek-ai/DeepSeek-V3.1   deepseek-ai/DeepSeek-V3.1
Required VRAM225 GB
Updated2025-08-23
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   5.0 GB: 45-of-72
Model ArchitectureDeepseekV3ForCausalLM
Context Length163840
Model Max Length163840
Transformers Version4.56.0.dev0
Vocabulary Size129280
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Intel/DeepSeek-V3.1-int4-mixed-AutoRound.

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