MiniCPM4 edge series - 0.5B & 8B variants | 8T/1T tokens - Trainable sparse InfLLM-v2 attention → each token attends to ~5% of others at 128K ctx - FP8 pipeline + multi‑token prediction; UltraClean/UltraChat‑v2 data - BitCPM ternary quant (−1/0/+1, ~90% weight drop), Eagle speculative heads draft-ahead for fast decoding (vLLM / FRSpec) - Jetson AGX Orin: ~7× faster than Qwen3-8B, strong 128K “needle-in-haystack” retrieval - Apache‑2.0 𝑻𝑯𝑰𝑵𝑲 𝑺𝑴𝑶𝑳 HF: TR: