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DeepSeek V4 Flash 0731 — VRAM requirements & what it costs to run

Bottom line: at q4_k_m with 8k context you need ≈ 189.8 GiB; smallest single accelerator in our catalog: Mac 256GB unified.

Open the full calculator with DeepSeek V4 Flash 0731 pre-loaded →

Quantization table (GiB)

quantweightstotal @8kneed @8ksmallest fit
native155.43172.21172.2Mac 256GB unified
bf16566.58624.48624.5needs multi-GPU / offload
fp8283.29312.86312.9needs multi-GPU / offload
q8_0301.0332.33332.3needs multi-GPU / offload
q6_k232.3256.77256.8needs multi-GPU / offload
q5_k_m200.78222.1222.1needs multi-GPU / offload
q4_k_m171.39189.77189.8Mac 256GB unified
q3_k_m138.46153.54153.5Mac 256GB unified
q2_k118.63131.73131.7H200 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
4k189.4
8k189.8
16k190.4
32k191.8
128k199.8

Cost: rent vs buy vs API

Needs ≥189.8 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 0731 with Ollama

Typical q4_k_m GGUF download ≈ 171.39 GiB (weights, dataset figure); expect ≥ 189.8 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 0731 need?

At q4_k_m with an 8k context it needs about 189.8 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 0731 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 0731?

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 0731** needs ~189.8 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-0731/)
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