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// RUN — FITS
Can the NVIDIA GeForce RTX 4060 Ti 16GB run DEQ-Transformer (Post-LN) + Jacobian Regularisation?
Yes — here's how fast and up to what context, with real measured numbers.
DEQ-Transformer (Post-LN) + Jacobian Regularisation on the NVIDIA GeForce RTX 4060 Ti 16GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 199k | 1072.7-1278.4 t/s | ~149-177.6 (slow) |
| Q8 | yes | 200k | 2145.3-2556.7 t/s | ~298-355.1 (slow) |
| Q4 | yes | 201k | 3830.9-4565.6 t/s | ~532.1-634.1 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to system RAM offload (depends on your system RAM) and speed drops to the "beyond" figure.
→ All models on the NVIDIA GeForce RTX 4060 Ti 16GB
→ DEQ-Transformer (Post-LN) + Jacobian Regularisation specs
→ Other hardware
FAQ
Can the NVIDIA GeForce RTX 4060 Ti 16GB run DEQ-Transformer (Post-LN) + Jacobian Regularisation?▶
Yes. At Q4 it generates ~3830.9-4565.6 tok/s and fits up to 201k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~532.1-634.1 tok/s.
How much context fits?▶
At Q4, up to about 201k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.