Can I run it?
Can I run LFM2.5 2.6B on GeForce RTX 4090?
Runs great
Runs great fully on your GeForce RTX 4090 at BF16, 8K context, about 94–128 tok/s. Weights 5.03 GB plus 0.47 GB of KV cache — 5.85 GB of 22.3 GB usable. Up to 128K context still fits.
Best quantBF16
Working context8K
Max that fits128K
Speed94–128 tok/s
Weights5.03 GB
KV cache0.47 GB
Total5.85 GB
Usable22.3 GB
LFM2.5 2.6B details · GeForce RTX 4090 page · How this estimate is made
Run commands
llama.cpp
llama-server -hf LiquidAI/LFM2.5-2.6B-GGUF:BF16 -c 8192 -ngl 30
Ollama
ollama run lfm2.5
LM Studio
lms get LiquidAI/LFM2.5-2.6B-GGUF # Then load quant BF16
Assumptions
- Estimate, not a benchmark. Decode speed uses a memory-bandwidth model at 55–75% of peak.
- KV cache is FP16. Engine overhead assumes llama.cpp (0.3 GB + 1% of the weights). Ollama is closer to 0.9 GB + 3%, LM Studio closer to 1 GB + 3%.
- BF16 size is the real GGUF file size from Hugging Face.
- 0.5 GB is reserved because this GPU also drives a display, then 5% of the rest is left free.
- Speed is quoted at 8K context, not at the maximum context that still fits.
Larger models that also fit
- Can I run Qwen3.8 27B on GeForce RTX 4090? — Tight fit, UD-Q6_K, 25–34 tok/s
- Can I run gemma 4 12b it on GeForce RTX 4090? — Runs, UD-Q8_K_XL, 33–45 tok/s
- Can I run Qwen3.5 9B on GeForce RTX 4090? — Runs, BF16, 30–42 tok/s
Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.