Can the RTX 4060 Ti 16GB run deepseek-v4-flash-0731-spark?
No. deepseek-v4-flash-0731-spark needs about 36.8 GB at Q4_K_M (weights plus 1.8 GB runtime overhead), and the RTX 4060 Ti 16GB has 16 GB, so it won't fit without offloading layers to system RAM, which is far slower.
Every quantization
deepseek-v4-flash-0731-spark (60.3B) on 16 GB
| Quant | Weights | Needs | Fit | Est. speed |
|---|---|---|---|---|
| Q4_K_M | 35 GB | 36.8 GB | Too big | - |
| Q5_K_M | 43 GB | 44.8 GB | Too big | - |
| Q8_0 | 65 GB | 66.8 GB | Too big | - |
| FP16 | 121 GB | 122.8 GB | Too big | - |
Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the RTX 4060 Ti 16GB's 288 GB/s bandwidth (Estimated from memory bandwidth (llama.cpp decode)). Long contexts need more memory and run slower.
What to do instead
Two ways forward
Cheapest cards that run it
- NVIDIA RTX A6000 - 48 GB, ~$3,299
- Mac Studio M4 Ultra - 192 GB, ~$4,699
- NVIDIA RTX 6000 Ada Generation - 48 GB, ~$5,800
- NVIDIA L40S - 48 GB, ~$8,500
Models that fit the RTX 4060 Ti 16GB
- Muse Glimmer - 18.1B, 10 GB at Q4
- Nemotron 3.5 Lightning - 17.8B, 10 GB at Q4
- Qwen3 14B - 14B, 8 GB at Q4
- Ornith-1.5-9B - 9.7B, 6 GB at Q4
Compare
Same model, other hardware - and other models on this card
deepseek-v4-flash-0731-spark on other hardware
- RTX 6000D~26 tok/s
- MacBook Pro 16" M4 Max~8.9 tok/s
- DGX Spark (GB10)~4.5 tok/s
- RTX Spark N1X (128 GB)~4.5 tok/s
Also runs on the RTX 4060 Ti 16GB
- Muse Glimmer~17 tok/s
- Nemotron 3.5 Lightning~17 tok/s
- Qwen3 14B~21 tok/s
- Ornith-1.5-9B~28 tok/s
- Ornith-1.5-9B-OBLITERATED~28 tok/s
- Qwen3.5 9B~28 tok/s
- Llama 3.1 8B~30 tok/s
- Qwen3.5 4B~55 tok/s
Frequently asked
Quick answers
Can the NVIDIA RTX 4060 Ti 16GB run deepseek-v4-flash-0731-spark?
No. deepseek-v4-flash-0731-spark needs about 36.8 GB at Q4_K_M (weights plus 1.8 GB runtime overhead), and the RTX 4060 Ti 16GB has 16 GB, so it won't fit without offloading layers to system RAM, which is far slower.
How much VRAM does deepseek-v4-flash-0731-spark need?
About 35 GB of weights at Q4_K_M, 65 GB at Q8_0 and 121 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.
How fast is deepseek-v4-flash-0731-spark on the RTX 4060 Ti 16GB?
It doesn't fit in the RTX 4060 Ti 16GB's memory, so speed depends on how many layers you offload to system RAM - typically single-digit tokens per second or lower.