DeepSeek-V3-0324
DeepSeek-V3-0324 publishes its weights, but at 671B parameters (37B active per token) no consumer machine holds the checkpoint. This page covers the access paths that work and the open models that actually run locally.
Why you can't run DeepSeek-V3-0324 locally
At 671B parameters (37B active per token), a Q4-class build of DeepSeek-V3-0324 would need roughly 403 GB — only a maxed-out 512GB Mac Studio could even hold the weights, with no real headroom. That figure is arithmetic, not opinion: 0.6 GB per billion parameters is the standard Q4 rule we apply across the whole catalog. The weights themselves are public (official source linked below); capacity, not licensing, is the wall.
What works instead: the hosted API. For most workloads, the open models below deliver the same job on hardware that fits under a desk.
Cloud/API only DeepSeek-V3-0324, March 2025 update with enhanced reasoning capabilities.
What to run locally instead of DeepSeek-V3-0324
More DeepSeek models
Frequently asked questions
Can I run DeepSeek-V3-0324 locally?
Not on hardware you can buy. The weights are public, but DeepSeek-V3-0324 is a 671B-parameter model (37B active), and a Q4-class build would need roughly 403 GB — only a maxed-out 512GB Mac Studio could even hold the weights, with no real headroom. Until the ecosystem ships a smaller official build, the API or a smaller open model is the practical path.
How do I access DeepSeek-V3-0324?
Through the vendor's hosted API. The official source is linked on this page.
What is the best local alternative to DeepSeek-V3-0324?
Qwen3 235B A22B is the strongest local model we track (235B, from 192 GB machines), with Qwen3.5 122B-A10B Instruct close behind. Both run on a single high-memory Mac or GPU — see their pages for exact hardware.
Cite this page
ModelFit: DeepSeek-V3-0324 — specs, memory math and hardware verdicts. https://modelfit.io/models/deepseek-v3-0324/ (dataset updated 2026-09-03, CC BY 4.0).