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// RUN — FITS
Can the NVIDIA GeForce RTX 3080 10GB run Transformer (Adaptive Input Embeddings) WT103?
Yes — here's how fast and up to what context, with real measured numbers.
Transformer (Adaptive Input Embeddings) WT103 on the NVIDIA GeForce RTX 3080 10GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 110k | 1123.1-1338.5 t/s | ~59.1-70.4 (slow) |
| Q8 | yes | 114k | 2246.2-2676.9 t/s | ~118.2-140.9 (slow) |
| Q4 | yes | 115k | 4011-4780.2 t/s | ~211.1-251.6 (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 3080 10GB
→ Transformer (Adaptive Input Embeddings) WT103 specs
→ Other hardware
FAQ
Can the NVIDIA GeForce RTX 3080 10GB run Transformer (Adaptive Input Embeddings) WT103?▶
Yes. At Q4 it generates ~4011-4780.2 tok/s and fits up to 115k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~211.1-251.6 tok/s.
How much context fits?▶
At Q4, up to about 115k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.