DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 publishes its weights, but at 284B parameters (13B 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 V4 Flash 0731 locally
At 284B parameters (13B active per token), a Q4-class build of DeepSeek V4 Flash 0731 would need roughly 170 GB — a 256GB Mac Studio could hold the weights in principle, but no registry-verified local build exists today. 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.
Official 0731 release (Jul 31, 2026, MIT), superseding the April preview: same architecture, re-post-trained with far stronger agent skills. 284B total, 13B active MoE, 1M context. Community 2-bit dynamic quants fit 128GB Macs via MLX, llama.cpp and the ds4 engine. No Ollama library tag yet.
What to run locally instead of DeepSeek V4 Flash 0731
More DeepSeek models
Frequently asked questions
Can I run DeepSeek V4 Flash 0731 locally?
Not on hardware you can buy. The weights are public, but DeepSeek V4 Flash 0731 is a 284B-parameter model (13B active), and a Q4-class build would need roughly 170 GB — a 256GB Mac Studio could hold the weights in principle, but no registry-verified local build exists today. Until the ecosystem ships a smaller official build, the API or a smaller open model is the practical path.
How do I access DeepSeek V4 Flash 0731?
Through the vendor's hosted API. The official source is linked on this page.
What is the best local alternative to DeepSeek V4 Flash 0731?
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 V4 Flash 0731 — specs, memory math and hardware verdicts. https://modelfit.io/models/deepseek-v4-flash/ (dataset updated 2026-09-03, CC BY 4.0).