🔌
New: connect Claude & other AIs to GenAIList over MCP — research the catalog and contribute to the shared knowledge base. Learn how →
// RUN — FITS
Can the NVIDIA GeForce RTX 2050 run DEQ-Transformer (Medium, Adaptive Embedding)?
Yes — here's how fast and up to what context, with real measured numbers.
DEQ-Transformer (Medium, Adaptive Embedding) on the NVIDIA GeForce RTX 2050
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 73k | 371.6-442.9 t/s | ~33.2-39.5 (slow) |
| Q8 | yes | 75k | 743.3-885.8 t/s | ~66.4-79.1 (slow) |
| Q4 | yes | 75k | 1327.3-1581.8 t/s | ~118.5-141.2 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
→ All models on the NVIDIA GeForce RTX 2050
→ DEQ-Transformer (Medium, Adaptive Embedding) specs
→ Other hardware
FAQ
Can the NVIDIA GeForce RTX 2050 run DEQ-Transformer (Medium, Adaptive Embedding)?▶
Yes. At Q4 it generates ~1327.3-1581.8 tok/s and fits up to 75k context; beyond that it spills to SSD swap and slows to ~118.5-141.2 tok/s.
How much context fits?▶
At Q4, up to about 75k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.