How much VRAM does DeepSeek-V4-Flash-Q8_0-GGUF need?

Q4_K_M is exactly 172,037,991,008 bytes (160.22 GiB) in weights. Add the KV cache, which depends on context length, plus roughly half a gigabyte of runtime overhead.

Preyazz · text

DeepSeek-V4-Flash-Q8_0-GGUF

Preyazz/DeepSeek-V4-Flash-Q8_0-GGUF

DeepSeek-V4-Flash-Q8_0-GGUF at Q4_K_M is exactly 172,037,991,008 bytes (160.22 GiB / 172.04 GB) — an effective 4.840 bits per weight, not the nominal 4.

From the file· summed from 1 file(s)

Parameters

284B

Architecture

deepseek4

Context

—

native (config.json)

License

mit

Shipped quantizations

● exact bytes, summed from published files

Quant	Size●	Exact bytes●	Effective bpw●	Tensors●	Publisher
Q2_K	96.19 GiB	103,283,751,520	2.906	—	Preyazz
Q3_K_M	126.23 GiB	135,535,174,240	3.813	—	Preyazz
Q4_K_M	160.22 GiB	172,037,991,008	4.840	—	Preyazz

Compare with

same modality, comparable size

vs Qwen3-Coder-30B-A3B-Instruct vs Qwen3.6-27B vs Qwen3.8-27B vs DeepSeek-V4-Flash vs Qwen3-30B-A3B-Thinking-2507 vs Laguna-XS-2.1 All alternatives →Will it fit on my card? →

Why other calculators give a different number

A parameters × bits ÷ 8 estimate puts Q4_K_M at roughly 148.95 GiB. The real file is 160.22 GiB, because a quantization is a mixture and some tensors are always kept at higher precision.

Architecture

Architecture unavailable — this repository is gated and no ungated mirror was found. Exact file sizes above are still authoritative; only the KV math needs the config.

Questions people ask

How much VRAM does DeepSeek-V4-Flash-Q8_0-GGUF need?: Q4_K_M is exactly 172,037,991,008 bytes (160.22 GiB) in weights. Add the KV cache, which depends on your context length, plus roughly half a gigabyte of runtime overhead.
Which quantization of DeepSeek-V4-Flash-Q8_0-GGUF should I use?: Q4_K_M is the usual default. Pick the largest quantization that fits your card at the context you actually need — the table above gives exact sizes for every one published.