Hugging Face's logo
R's picture

R PRO

Twu31
13
mihailgribov's profile picture masterset-ai's profile picture ErenAta00's profile picture
·

AI & ML interests

None yet

Recent Activity

reacted to sergiopaniego's post with 👍 about 12 hours ago
how do you post-train an agent? we laid it out as a 5-step curriculum, from SFT to RL through a real harness, with livestreams, code and docs for each step https://huggingface.co/blog/huggingface/train-agents
repliedto sergiopaniego's post about 12 hours ago
how do you post-train an agent? we laid it out as a 5-step curriculum, from SFT to RL through a real harness, with livestreams, code and docs for each step https://huggingface.co/blog/huggingface/train-agents
reacted to alphabell-research's post with 👍 about 12 hours ago
One number missing from LFM3's on-device story: memory at 256K context. Liquid AI reports 1.90 GB peak on iPhone 17 Pro at 32K. From the pinned config, f16 K/V cache alone would be 0.41 GB at 32K, 1.61 GB at 128K and 3.22 GB at 256K, before weights and runtime buffers. The chart shows the calculation, not a phone measurement. If you have run longer contexts on-device, share peak memory and time to first token here: https://huggingface.co/LiquidAI/LFM3-1.7B/discussions/5 Model: https://huggingface.co/LiquidAI/LFM3-1.7B
View all activity

Organizations

None yet