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Yes. Jais 3 0.9B fits in fast memory on RTX 4080 16GB at BF16 (2.8 GB needed, 15.5 GB usable), about 199 tok/s (estimate).
Hardware: RTX 4080 16GB · Model: Jais 3 0.9B
RTX 4080 16GB has 16 GB of VRAM and 717 GB/s of memory bandwidth. The checker holds back 0.5 GB of VRAM for the driver and assumes 16 GB of system RAM, so fast memory usable by Ollama is 15.5 GB. Partial offload may also use 60% of that system RAM. Jais 3 0.9B (1.08B, IFM) at BF16 is a 2.16 GB download and needs 2.8 GB with headroom for about 8k tokens.
| Best quant | BF16 |
|---|---|
| Download size | 2.16 GB |
| Memory needed | 2.8 GB |
| Usable fast memory | 15.5 GB |
| Fit | fits in fast memory |
| Estimated speed | ~199 tok/s (estimate) |
| Command | ollama run hf.co/IFM/Jais-3-0.9B-GGUF:BF16 |
Estimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-23.
A project by OnDevice Labs · llms.txt