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DeepSeek V4 Flash — VRAM requirements & what it costs to run

Bottom line: at q4_k_m with 8k context you need ≈ 181.6 GiB; smallest single accelerator in our catalog: Mac 256GB unified.

Open the full calculator with DeepSeek V4 Flash pre-loaded →

Quantization table (GiB)

quantweightstotal @8kneed @8ksmallest fit
native148.66164.76164.8Mac 256GB unified
bf16541.93597.36597.4needs multi-GPU / offload
fp8270.96299.3299.3needs multi-GPU / offload
q8_0287.9317.93317.9needs multi-GPU / offload
q6_k222.19245.65245.7needs multi-GPU / offload
q5_k_m192.05212.49212.5needs multi-GPU / offload
q4_k_m163.93181.57181.6Mac 256GB unified
q3_k_m132.43146.92146.9Mac 256GB unified
q2_k113.47126.05126.0H200 141GB

Dataset: modelvram.com open dataset (CC BY 4.0 / MIT), retrieved 2026-10-20. "total @8k" already includes KV cache + runtime overhead per dataset methodology; we extrapolate KV linearly by context (formula).

KV-cache scaling at q4_k_m (total GiB)

contexttotal
4k181.2
8k181.6
16k182.2
32k183.6
128k191.6

Cost: rent vs buy vs API

Needs ≥181.6 GiB — no single listed rental instance fits (multi-GPU / offload only). modelvram.com public table (self-stated check 2026-09-29, retrieved 2026-10-20). Partial re-verify 2026-10-20: Lambda A100 40GB $1.99/h CONFIRMED on lambda.ai/pricing (fetched directly); Lambda H100 rows ambiguous on-page ($3.99 vs $4.09 configs) → not adopted; RunPod & Vast pricing pages are JS-rendered, no extractable static figures — verify rates visually before spending.

Cross-check on record for this family: vLLM official recipes, retrieved 2026-10-20: FP8 ≈ 200 GB, NVFP4 ≈ 170 GB; Thunder Compute blog, 2026-08-12: native checkpoint ≈ 175 GB, 3-bit GGUF ≈ 131 GB. Datasets differ by quantisation bookkeeping — see method.

Running DeepSeek V4 Flash with Ollama

Typical q4_k_m GGUF download ≈ 163.93 GiB (weights, dataset figure); expect ≥ 181.6 GiB resident at 8k context. Find tags: ollama.com/search (we do not mirror tag lists — sizes on Ollama are their numbers, ours are dataset-sourced).

FAQ

How much VRAM does DeepSeek V4 Flash need?

At q4_k_m with an 8k context it needs about 181.6 GiB including KV cache and runtime overhead; the smallest card in our catalog that fits is Mac 256GB unified. Numbers come from the modelvram.com open dataset (CC BY 4.0, retrieved 2026-10-20) and our published formula (https://llmbudgetlab.com/method/).

Can I run DeepSeek V4 Flash on a Mac?

Use the calculator: macOS caps GPU-usable memory well below your spec-sheet unified RAM. We count 2/3 of unified (3/4 above 36GB) as a deliberately conservative rule of ours, not an Apple constant — compare required GiB against usable memory, then confirm on your own machine with sysctl iogpu.wired_limit_mb (why).

Is renting a GPU cheaper than buying one for DeepSeek V4 Flash?

Rental requires multi-GPU — plug both into the calculator's break-even field; buy price and electricity are yours to enter because we refuse to guess market prices.

Copy this into a README / model card (backlink engine v1):
**DeepSeek V4 Flash** needs ~181.6 GiB VRAM at q4_k_m (8k context) → minimum Mac 256GB unified. Check & cost-compare: [LLM Budget Lab](https://llmbudgetlab.com/models/deepseek-v4-flash/)
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