--- license: apache-2.0 base_model: LiquidAI/LFM2.5-8B-A1B tags: - liquid-ai - lfm2.5 - terminal-agent - rlvr - echo - grpo - lora - adapter --- # LFM2.5-8B-A1B-Terminal-ECHO-RLVR-GRPO-Adapters LoRA adapter checkpoints from an ECHO-style terminal RLVR run. ## Training Setup - Base model: `LiquidAI/LFM2.5-8B-A1B` - Resume adapter: `` - Run ID: `run_20260612T113238Z_echo_raw_lfm25_vllm4_train2_g4_t4_tok256_save25_wm005_2k` - vLLM GPUs: `0,1,2,3` - Training GPUs: `4,5` - No-Docker sandbox: `true` - World-model coefficient: `0.05` - Learning rate: `` - Save interval: every `25` train steps ## Latest Snapshot - Synced at UTC: `2026-06-13T00:16:06.252887+00:00` - Latest uploaded checkpoint: `checkpoint-1350` - Uploaded checkpoints: `checkpoint-25, checkpoint-50, checkpoint-75, checkpoint-100, checkpoint-125, checkpoint-150, checkpoint-175, checkpoint-200, checkpoint-225, checkpoint-250, checkpoint-275, checkpoint-300, checkpoint-325, checkpoint-350, checkpoint-375, checkpoint-400, checkpoint-425, checkpoint-450, checkpoint-475, checkpoint-500, checkpoint-525, checkpoint-550, checkpoint-575, checkpoint-600, checkpoint-625, checkpoint-650, checkpoint-675, checkpoint-700, checkpoint-725, checkpoint-750, checkpoint-775, checkpoint-800, checkpoint-825, checkpoint-850, checkpoint-875, checkpoint-900, checkpoint-925, checkpoint-950, checkpoint-975, checkpoint-1000, checkpoint-1025, checkpoint-1050, checkpoint-1075, checkpoint-1100, checkpoint-1125, checkpoint-1150, checkpoint-1175, checkpoint-1200, checkpoint-1225, checkpoint-1250, checkpoint-1275, checkpoint-1300, checkpoint-1325, checkpoint-1350` ## Layout - `checkpoints/checkpoint-*`: PEFT/LoRA adapter checkpoint directories. - `manifest.json`: sync metadata. - `run.env.redacted`: training configuration with secret-like values redacted. The paired rollout dataset is: `LLM-OS-Models/LFM2.5-8B-A1B-Terminal-ECHO-RLVR-Rollouts` That dataset stores the terminal actions, observations, verifier outcomes, and train-step metrics that produced these adapter checkpoints.
