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DeepSeek V3.1 4bit by mlx-community

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DeepSeek V3.1 4bit is an open-source language model by mlx-community. Features: 671b LLM, VRAM: 190.1GB, Context: 160K, License: mit, Quantized, LLM Explorer Score: 0.29.

  4-bit   4bit Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-...   Conversational   Custom code   Deepseek v3   Mlx   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/DeepSeek-V3.1-4bit 

DeepSeek V3.1 4bit Benchmarks

LLME Score: 0.28515
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 4bit (mlx-community/DeepSeek-V3.1-4bit)
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DeepSeek V3.1 4bit Parameters and Internals

LLM NameDeepSeek V3.1 4bit
Repository 🤗https://huggingface.co/mlx-community/DeepSeek-V3.1-4bit 
Base Model(s)  deepseek-ai/DeepSeek-V3.1   deepseek-ai/DeepSeek-V3.1
Model Size671b
Required VRAM190.1 GB
Updated2026-03-21
Maintainermlx-community
Model Typedeepseek_v3
Model Files  3.7 GB: 1-of-88   4.4 GB: 2-of-88   4.2 GB: 3-of-88   4.4 GB: 4-of-88   4.4 GB: 5-of-88   4.2 GB: 6-of-88   4.4 GB: 7-of-88   4.4 GB: 8-of-88   4.2 GB: 9-of-88   4.4 GB: 10-of-88   4.4 GB: 11-of-88   4.2 GB: 12-of-88   4.4 GB: 13-of-88   4.4 GB: 14-of-88   4.2 GB: 15-of-88   4.4 GB: 16-of-88   4.4 GB: 17-of-88   4.2 GB: 18-of-88   4.4 GB: 19-of-88   4.4 GB: 20-of-88   4.2 GB: 21-of-88   4.4 GB: 22-of-88   4.4 GB: 23-of-88   4.2 GB: 24-of-88   4.4 GB: 25-of-88   4.4 GB: 26-of-88   4.2 GB: 27-of-88   4.4 GB: 28-of-88   4.4 GB: 29-of-88   4.2 GB: 30-of-88   4.4 GB: 31-of-88   4.4 GB: 32-of-88   4.2 GB: 33-of-88   4.4 GB: 34-of-88   4.4 GB: 35-of-88   4.2 GB: 36-of-88   4.4 GB: 37-of-88   4.4 GB: 38-of-88   4.2 GB: 39-of-88   4.4 GB: 40-of-88   4.4 GB: 41-of-88   4.2 GB: 42-of-88   4.4 GB: 43-of-88   4.4 GB: 44-of-88
Quantization Type4bit
Model ArchitectureDeepseekV3ForCausalLM
Licensemit
Context Length163840
Model Max Length163840
Transformers Version4.44.2
Vocabulary Size129280
Torch Data Typebfloat16

Best Alternatives to DeepSeek V3.1 4bit

Best Alternatives
Context / RAM
Downloads
Likes
DeepSeek V3.0324 4bit160K / 198.7 GB157638
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 V3.1160K / 180.4 GB150107819
DeepSeek V3.1 Terminus160K / 171.8 GB7034
DeepSeek V3.1 Base160K / 180.4 GB106441010
DeepSeek V3.1160K / 176.1 GB443
DeepSeek V3 AWQ160K / 351.9 GB180934
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/DeepSeek-V3.1-4bit.

Rank the DeepSeek V3.1 4bit Capabilities

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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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