Can I Run Muse Spark Open on NVIDIA GeForce RTX 5090?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 15 października 2026

No — Muse Spark Open 816B at Q4_K_M needs 499.2 GB at 8K context (496.3 GB weights + 2.9 GB KV cache/overhead), and the NVIDIA GeForce RTX 5090's 32 GB leaves it ~467.2 GB short.

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NVIDIA GeForce RTX 5090 Specs

VRAM32 GB
Memory Bandwidth1792 GB/s

Muse Spark Open 816B on the NVIDIA GeForce RTX 5090: VRAM by quantization

QuantVRAM neededFits 32 GB?Max contextWhole PC
F161647 GB✗ No——
Q8_0876.3 GB✗ No——
Q6_K677 GB✗ No——
Q5_K_M585.5 GB✗ No——
Q4_K_M499.2 GB✗ No——
Q3_K_M353.3 GB✗ No——
Q2_K273.1 GB✗ No——

Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 32 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 5090: 8K 499.2 GB ✗ · 32K 505.4 GB ✗ · 128K 530.4 GB ✗. Past 8K it no longer fits 32 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

Why It Does Not Fit

Every Muse Spark Open variant requires more VRAM than the NVIDIA GeForce RTX 5090 provides (32 GB).

Won't fit — rent Muse Spark Open instead

Muse Spark Open needs ~499 GB but this GPU has 32 GB. Rent a 8× H100 (640 GB)-class GPU by the hour instead of buying one:

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FAQ

Muse Spark Open on the NVIDIA GeForce RTX 5090 — does it fit?

No — Muse Spark Open 816B at Q4_K_M needs 499.2 GB at 8K context (496.3 GB weights + 2.9 GB KV cache/overhead), and the NVIDIA GeForce RTX 5090's 32 GB leaves it ~467.2 GB short.

Popular Models on the NVIDIA GeForce RTX 5090

VRAM Tier

Troubleshooting

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← Can I Run It? | Muse Spark Open Model Page | NVIDIA GeForce RTX 5090 GPU Page | VRAM calculator | Check Your Hardware