Benchmark result
LFM3-1.7B-BF16 on NVIDIA GeForce RTX 4060 Laptop GPU — 35.5 tok/s
Measured with llama.cpp b11985-6d194531e on November 2, 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 4060 Laptop GPU · median 33.9 tok/s.
sort
- 135.5tok/s57.1llama.cppthis run
- 232.2tok/s60.4llama.cpp
LFM3-1.7B-BF16 on other hardware
Reproduce this run
toolllama.cpp b11985-6d194531e
modelLFM3-1.7B-BF16
context32,768
think limit8,192 tokens
samplingtemperature 0.800000011920929 · top_p 0.949999988079071 · top_k 40 · min_p 0.05000000074505806 · presence_penalty 0 · repeat_penalty 1.100000023841858
clientv0.4.98+102
Set those in llama.cpp, then:
llm-benchmark benchmark --model "LFM3-1.7B-BF16" --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.