About DeepSeek V4 Flash
DeepSeek V4 Flash is DeepSeek's 284B-parameter model released in April 2026, with a 1024K-token context window. It is a mixture-of-experts model: all 284B parameters must sit in memory, but only ~13B are active per token, which is what makes it fast for its size. It uses a latent-attention (MLA) design that compresses its KV cache, keeping even very long contexts cheap in memory: its KV cache is about 0.4 GB at an 8K context, 6.5 GB at 128K, and 51.9 GB at the full 1024K window (FP16 cache).
For most people Q4_K_M is the sweet spot — the most popular quality/size trade-off — while Q8 is near-lossless if you have the memory. Totals above include the KV cache and a realistic framework overhead, so they are what you should expect to see in practice rather than just the download size. Weight sizes are calibrated against real GGUF files — see themethodology.
Frequently asked questions
How much VRAM does DeepSeek V4 Flash need?
At Q4_K_M with an 8K context, DeepSeek V4 Flash needs about 192 GB (weights 173 GB + KV cache + overhead). The smallest common hardware that fits is a Apple Silicon 512GB unified.
Can an RTX 4090 (24GB) run DeepSeek V4 Flash?
Not fully in VRAM. DeepSeek V4 Flash needs about 192 GB even at Q4_K_M, so a 24 GB card would have to offload layers to system RAM at a large speed penalty.
Can a Mac run DeepSeek V4 Flash?
Yes — Apple Silicon with 512 GB of unified memory or more (macOS lets the GPU use ~75% of it, ~384 GB) runs DeepSeek V4 Flash at Q4_K_M.
Related
VRAM calculator for any model ·Token counter · DeepSeek V4 Flash API pricing
Last updated 2026-08-03. Architecture figures from the model's published config.json; see themethodology.