Benchmark result
LiquidAI/LFM2.5-350M-GGUF:F16 on NVIDIA GeForce RTX 3080 Ti +1 more — 665.0 tok/s
Measured with llama.cpp b10639-5e6a37cb1 on August 26, 2026.
What the model built
Open full screen →The coding scenario asks for a playable game in a single HTML file. This is exactly what the model returned, unedited; the frame only adds a line that tells this page how tall it is.
How this run compares
1st fastest of 2 runs of this model on NVIDIA GeForce RTX 3080 Ti +1 more · Multi-GPU · median 635.1 tok/s.
sort
- 1665.0tok/s15.5llama.cppthis run
- 2605.2tok/s19.2llama.cpp
Reproduce this run
toolllama.cpp b10639-5e6a37cb1
modelLiquidAI/LFM2.5-350M-GGUF:F16
context65,536
thinkingon
clientv0.4.44+97
Set those in llama.cpp, then:
llm-benchmark benchmark --model "LiquidAI/LFM2.5-350M-GGUF:F16" --tool "llama.cpp"The client prompts for context length and thinking mode, and for the KV cache dtype on Unsloth Studio. Sampling is left at the model default — the values above are what the tool reported using, not overrides the client sent.