Can I Run Meta Muse Spark Open (816B-A42B MoE) on NVIDIA GeForce RTX 5070 (12GB GDDR7)?
Full VRAM footprint analysis, tokens/sec generation benchmark, and copy-paste Ollama & vLLM runtime commands for running Meta Muse Spark Open (816B-A42B MoE) (816B) on NVIDIA GeForce RTX 5070 (12GB GDDR7) (12 GB).
✕ Out of Memory — Exceeds VRAM Capacity
OLLAMA_FLASH_ATTENTION=1 OLLAMA_KV_CACHE_TYPE=q8_0 ollama run muse-spark:816bLocal Hardware Configurations & Pricing
⚠️ Out of VRAM: High-Capacity Hardware Upgrades2x NVIDIA RTX 3090 Dual Rig (48GB Total VRAM)
Best price-to-VRAM homelab rig for 70B Q4_K_M & Qwen 3.8 27B Q8
Apple Mac Studio M4 Max (128GB Unified Memory)
Running Llama 4 Scout 109B & 70B Q8 locally with 128K+ context
NVIDIA GeForce RTX 5070 (12GB GDDR7)
High-efficiency 12GB entry point with FP4 tensor acceleration
⚠️ Out of VRAM? Don't downgrade model quality.
Out of VRAMSpin up an on-demand cloud GPU instance in 60 seconds with pre-installed Ollama and vLLM. (Meta Muse Spark Open (816B-A42B MoE) @ 512.86 GB VRAM)
Quantization Precision Matrix
32K ctx • KV: Q8_0| Quantization | Weights | KV Cache | Total VRAM | Est. Speed | Fit Status |
|---|---|---|---|---|---|
| FP1616 bpw | 1632 GB | 5.37 GB | 1695.24 GB (14127%) | 0 t/s | OOM |
| Q8_08.5 bpw | 864.96 GB | 5.37 GB | 901.35 GB (7511%) | 0 t/s | OOM |
| Q6_K6.56 bpw | 669.12 GB | 5.37 GB | 698.66 GB (5822%) | 0 t/s | OOM |
| Q5_K_M5.68 bpw | 579.36 GB | 5.37 GB | 605.76 GB (5048%) | 0 t/s | OOM |
| Q4_K_M4.8 bpw | 489.6 GB | 5.37 GB | 512.86 GB (4274%) | 0 t/s | OOM |
| FP44.25 bpw | 432.48 GB | 5.37 GB | 453.74 GB (3781%) | 0 t/s | OOM |
| IQ3_XS3.3 bpw | 334.56 GB | 5.37 GB | 352.39 GB (2937%) | 0 t/s | OOM |
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Frequently Asked Questions: Meta Muse Spark Open (816B-A42B MoE) on NVIDIA GeForce RTX 5070 (12GB GDDR7)
How much VRAM does Meta Muse Spark Open (816B-A42B MoE) need on NVIDIA GeForce RTX 5070 (12GB GDDR7)?
At standard 4-bit quantization (Q4_K_M) with 32K context, Meta Muse Spark Open (816B-A42B MoE) requires 512.86 GB of total VRAM (weights + KV cache + CUDA runtime overhead).
What inference speed will Meta Muse Spark Open (816B-A42B MoE) achieve on NVIDIA GeForce RTX 5070 (12GB GDDR7)?
Based on NVIDIA GeForce RTX 5070 (12GB GDDR7)'s 672 GB/s memory bandwidth, expected decode speed is approximately 0 tokens per second.
Can I expand context beyond 32K tokens?
Each additional 32K tokens of context requires additional KV cache memory. For longer context windows, consider 8-bit or 4-bit KV cache quantization.