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Can You Run DeepSeek V4 Flash (304B MoE)? VRAM Requirements

DeepSeek V4 Flash (304B MoE) has 304B total parameters (MoE, 15B active per token). Running it at Q4_K_M (GGUF) with 16K context takes roughly 187 GB of memory (173 GB weights + 0.8 GB KV cache + runtime overhead). The minimum viable hardware is about Mac M3 Ultra 512GB. All numbers are planning estimates, verified 2026-09-05.

⚠ Some architecture details of this model are estimated — treat results as ballpark figures.

VRAM by quantization (16K context)

QuantizationWeightsTotal neededMinimum hardware
FP16 / BF16566 GB612 GB4× B200 192GB
FP8283 GB307 GBMac M3 Ultra 512GB
Q8_0 (GGUF)300 GB325 GBMac M3 Ultra 512GB
Q6_K (GGUF)232 GB251 GBMac M3 Ultra 512GB
Q5_K_M (GGUF)201 GB218 GBMac M3 Ultra 512GB
MXFP4150 GB163 GBAMD MI300X 192GB
NVFP4150 GB163 GBAMD MI300X 192GB
Q4_K_M (GGUF)recommended173 GB187 GBMac M3 Ultra 512GB
Q3_K_M (GGUF)133 GB144 GBAMD MI300X 192GB
Q2_K (GGUF)99.1 GB108 GBMac 128GB unified

How context length changes memory (Q4_K_M (GGUF))

ContextKV cacheTotal needed
4K0.2 GB187 GB
16K0.8 GB187 GB
64K3.0 GB190 GB
128K6.0 GB193 GB
256K12.1 GB199 GB
1M46.1 GB233 GB

KV cache grows linearly with context; FP8 KV cache halves it again (try it in the calculator below).

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LLM VRAM Calculator — Can I Run It?

Estimate how much GPU memory (VRAM) you need to run open-weight LLMs like Kimi K3, DeepSeek R1, Qwen3, or Llama locally. Pick a model, quantization, and context length — the calculator adds up weights, KV cache, and runtime overhead, then shows which GPUs or Macs can fit it. Runs entirely in your browser: no upload, no signup.

304B total params · 15B active (MoE) · max 1M context · specs partially estimated

Recommended balance · ~0.61 bytes/param

Estimated memory needed

193 GB

Model weights173 GB
KV cache (131,072 tokens)6.0 GB
Runtime overhead13.8 GB

Architecture details for this model are estimated — treat results as a ballpark.

Will it fit?

RTX 3060 12GB18× needed
RTX 4060 Ti 16GB14× needed
RTX 3090 / 4090 24GB9× needed
RTX 5090 32GB7× needed
A100 40GB6× needed
A100 / H100 80GB3× needed
H200 141GB2× needed
AMD MI300X 192GB2× needed
B200 192GB2× needed
Mac 24GB unified✗ too big
Mac 36GB unified✗ too big
Mac 64GB unified✗ too big
Mac 128GB unified✗ too big
Mac M3 Ultra 512GB✓ fits

Assumes ~92% of device memory is usable. Multi-GPU counts are for tensor/pipeline parallel serving (vLLM, SGLang); Apple Silicon uses unified memory via llama.cpp or MLX.

FAQ

How much VRAM does DeepSeek V4 Flash (304B MoE) need?

About 187 GB at the recommended Q4_K_M (GGUF) quantization with 16K context: 173 GB for weights, 0.8 GB for KV cache, plus runtime overhead. Longer context grows the KV cache.

What is the minimum hardware for DeepSeek V4 Flash (304B MoE)?

Roughly Mac M3 Ultra 512GB, assuming 92% of device memory is usable. Lower-end setups can try more aggressive quantization (Q3/Q2) at a noticeable quality cost.

Can I run DeepSeek V4 Flash (304B MoE) on a Mac?

Yes. At Q4_K_M (GGUF) with 16K context it needs about 187 GB, which fits the unified memory of a Mac M3 Ultra 512GB via llama.cpp or MLX.

Which quantization should I use for DeepSeek V4 Flash (304B MoE)?

Q4_K_M is the recommended balance of size and quality; with headroom, Q6_K or Q8_0 reduce quality loss further.

VRAM requirements for other models