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DeepSeek V3.1 Int4 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-AutoRound 

DeepSeek V3.1 Int4 AutoRound Benchmarks

LLME Score: 0.27565
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 AutoRound (Intel/DeepSeek-V3.1-int4-AutoRound)
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DeepSeek V3.1 Int4 AutoRound Parameters and Internals

LLM NameDeepSeek V3.1 Int4 AutoRound
Repository 🤗https://huggingface.co/Intel/DeepSeek-V3.1-int4-AutoRound 
Base Model(s)  deepseek-ai/DeepSeek-V3.1   deepseek-ai/DeepSeek-V3.1
Required VRAM225 GB
Updated2025-09-23
MaintainerIntel
Model Typedeepseek_v3
Model Files  5.0 GB: 1-of-71   5.0 GB: 2-of-71   5.0 GB: 3-of-71   5.0 GB: 4-of-71   5.0 GB: 5-of-71   5.0 GB: 6-of-71   5.0 GB: 7-of-71   5.0 GB: 8-of-71   5.0 GB: 9-of-71   5.0 GB: 10-of-71   5.0 GB: 11-of-71   5.0 GB: 12-of-71   5.0 GB: 13-of-71   5.0 GB: 14-of-71   5.0 GB: 15-of-71   5.0 GB: 16-of-71   5.0 GB: 17-of-71   5.0 GB: 18-of-71   5.0 GB: 19-of-71   5.0 GB: 20-of-71   5.0 GB: 21-of-71   5.0 GB: 22-of-71   5.0 GB: 23-of-71   5.0 GB: 24-of-71   5.0 GB: 25-of-71   5.0 GB: 26-of-71   5.0 GB: 27-of-71   5.0 GB: 28-of-71   5.0 GB: 29-of-71   5.0 GB: 30-of-71   5.0 GB: 31-of-71   5.0 GB: 32-of-71   5.0 GB: 33-of-71   5.0 GB: 34-of-71   5.0 GB: 35-of-71   5.0 GB: 36-of-71   5.0 GB: 37-of-71   5.0 GB: 38-of-71   5.0 GB: 39-of-71   5.0 GB: 40-of-71   5.0 GB: 41-of-71   5.0 GB: 42-of-71   5.0 GB: 43-of-71   5.0 GB: 44-of-71   5.0 GB: 45-of-71
Model ArchitectureDeepseekV3ForCausalLM
Context Length163840
Model Max Length163840
Transformers Version4.56.0.dev0
Vocabulary Size129280
Torch Data Typebfloat16

Best Alternatives to DeepSeek V3.1 Int4 AutoRound

Best Alternatives
Context / RAM
Downloads
Likes
Kimi K2 Instruct 0905256K / 667.4 GB42883424
Kimi K2 Instruct 0905256K / 667.4 GB2355
DeepSeek R1 0528 FP4160K / 107 GB7299136
DeepSeek R1 FP4160K / 232 GB9178263
DeepSeek V3.0324 FP4160K / 242.8 GB998412
...Seek V3.1 Int4 Mixed AutoRound160K / 225 GB20010
...V3.1 Base Int4 Mixed AutoRound160K / 220 GB1032
R1 1776160K / 243.4 GB138
Kimi K2 Instruct128K / 652.7 GB3203572164
Kimi K2 Base128K / 669.8 GB4155269
Note: green Score (e.g. "73.2") means that the model is better than Intel/DeepSeek-V3.1-int4-AutoRound.

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Release v20241124
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