DeepSeek V3 Specs, Benchmarks & Downloads

DeepSeek V3

DeepSeek foundation MoE model

Status
active
Parameters

671.00

Context Window

131072

Modality

Text

Release Date

Dec 26, 2024

About

Explore DeepSeek V3, a text AI model developed by DeepSeek. View specifications, context window, architecture, license, supported platforms, features, benchmarks, official downloads, and related articles.

DeepSeek V3 is a large mixture-of-experts model for reasoning and coding.

Family
DeepSeek
Developer
DeepSeek
Architecture
Mixture of Experts
License
DeepSeek License
Hardware Requirements
Minimum:
Use Case: Distributed inference GPU Minimum: 2x RTX 4090 GPU VRAM: 48GB System RAM: 128GB Storage: 200GB Operating System: Linux DeepSeek V3 large model
Recommended:
Use Case: Server inference GPU Minimum: 4x A100 GPU VRAM: 320GB System RAM: 512GB Storage: 500GB Operating System: Linux Large scale deployment
High Performance:
Use Case: Enterprise serving GPU Minimum: 8x H100 GPU VRAM: 640GB System RAM: 1024GB Storage: 1TB Operating System: Linux Maximum performance
Model Deployment Readiness
Model Ecosystem Support

12%

Platforms
17%
Features
0%
Downloads
20%
Platform Compatibility

17%

Supported across 2 of 12 platforms
Context Window
Industry-standard context window comparison

131,072

tokens
128K
4K 32K 128K 1M 2M

Database Rank
#1
Percentile
Top 100%
Capacity
Very High
Benchmark Performance
Evaluation profile across publicly reported benchmarks
HumanEval
Coding 65.2 % 2024
LiveCodeBench
Coding 40.5 % 2024
SWE-Bench
Software Engineering 42.0 % 2024
Highest Benchmark
HumanEval 65.2%
Benchmarks Available
3
Latest Evaluation
Dec 2024

Platforms (2)

PLATFORM NAME SUPPORTED NOTES Date
vLLM Yes No notes available. Jul 30, 6:40 PM
Hugging Face Transformers Yes No notes available. Jul 30, 6:40 PM

    Features (0)

    NAME SUPPORTED VALUE Date
    No features available.

      Downloads (1)

      PROVIDER TYPE LINK Date
      Hugging Face Model Repository N/A

        Articles (0)

        TITLE CATEGORY TAGS PUBLISHED ON
        No articles available.

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