This model looks quite spectacular. According to LiquidAI's own benchmarks, it scores higher than MiniCPM5-2B across the board, while offering 2x the context and taking up half the space in VRAM (3.6 GiB vs. 7.1 GiB for a quasi-lossless quant). Read the report: https://github.com/crusaderky/pixi-llm-recipes/blob/main/perplexity/LFM3-1.7B/README.md Raw plots as interactive HTML: https://htmlpreview.github.io/?https://raw.githubusercontent.com/crusaderky/pixi-llm-recipes/main/perplexity/LFM3-1.7B/report.html   submitted by   /u/crusaderky [link]   [comments]