What are the hardware requirements for DeepSeek V3 Base?

DeepSeek V3 Base requires approximately 171.8 GB of VRAM and supports a context window of 160K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DeepSeek V3 Base and how large is it?

DeepSeek V3 Base is developed by deepseek-ai, a model with 684.5b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does DeepSeek V3 Base perform on standard benchmarks?

DeepSeek V3 Base has the following published scores: LMSYS ELO 1433. Compare against reference models on this page or on the LLM Explorer leaderboards.

DeepSeek V3 Base by deepseek-ai — VRAM 171.8GB, 160K context

Name: DeepSeek V3 Base
Author: deepseek-ai

DeepSeek V3 Base is an open-source language model by deepseek-ai. Features: 684.5b LLM, VRAM: 171.8GB, Context: 160K, LLM Explorer Score: 0.41, ELO: 1433.

Arxiv:2412.19437 Custom code Deepseek v3 Fp8 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/deepseek-ai/DeepSeek-V3-Base

DeepSeek V3 Base Benchmarks

LMSys ELO 1433 vs 1272 (so35) 12.7%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

DeepSeek V3 Base Parameters and Internals

LLM Name	DeepSeek V3 Base
Repository 🤗	https://huggingface.co/deepseek-ai/DeepSeek-V3-Base
Model Size	684.5b
Required VRAM	171.8 GB
Updated	2026-07-29
Maintainer	deepseek-ai
Model Type	deepseek_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 Architecture	DeepseekV3ForCausalLM
Context Length	163840
Model Max Length	163840
Transformers Version	4.33.1
Vocabulary Size	129280
Torch Data Type	bfloat16

Rank the DeepSeek V3 Base capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to DeepSeek V3 Base

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek R1 0528	160K / 180.4 GB	244573	2457
DeepSeek V3	160K / 171.8 GB	1155192	4102
DeepSeek R1	160K / 180.4 GB	8739585	13461
DeepSeek V3.0324	160K / 184.7 GB	835522	3148
DeepSeek V3	160K / 171.8 GB	20952	13
DeepSeek V3.1 Terminus	160K / 171.8 GB	15	4
DeepSeek V3.1	160K / 176.1 GB	16	3
DeepSeek V3.1	160K / 180.4 GB	307929	826
DeepSeek R1 Block INT8	160K / 176.1 GB	171	50
DeepSeek R1	160K / 358.8 GB	444	52

Note: green Score (e.g. "73.2") means that the model is better than deepseek-ai/DeepSeek-V3-Base.