Card × model estimate
Llama 3.1 8B on RTX 4080 Laptop GPU Q4_K_M
should fitOn an RTX 4080 Laptop GPU (12 GB), Llama 3.1 8B in Q4_K_M needs about 6,1 Go of video memory: it should fit.
Not measured yet: the figures below are estimates, computed from the models already measured on this card. Measure my card
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Generation (estimated)
≥ 6,1 Go
Recommended VRAM (12 GB avail.)
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Power (ref. model)
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Electricity / M tokens · 0,25 €/kWh
No model has been measured on the RTX 4080 Laptop GPU yet: no speed estimate possible.
What about a longer context?
| Context | KV cache | Estimated VRAM | Fits in 12 GB? | Estimated speed |
|---|---|---|---|---|
| 4 096 | 0,5 Go | 5,6 Go | yes | — |
| 8 192 | 1,0 Go | 6,1 Go | yes | — |
| 16 384 | 2,0 Go | 7,1 Go | yes | — |
| 32 768 | 4,0 Go | 9,1 Go | yes | — |
| 65 536 | 8,0 Go | 13,1 Go | no | — |
| 131 072 | 16,0 Go | 21,1 Go | no | — |
Estimated VRAM = file + KV cache (full-attention layers, f16) + ~0,5 Go of buffers, excluding memory used by the system — hence the slightly higher “recommended VRAM”, which keeps that margin. Speed ≈ estimated speed × weights read ÷ (weights read + added KV cache).
Llama 3.1 8B on other cards
Estimates based on real measurements of other models on this card and on the model's public data (Meta Llama). As soon as a measurement exists, this page shows the real figures.