Fix torch bfloat16 errors on T4 GPUs by enabling Unsloth dtype auto-detection and explicitly wrapping forward passes in autocast

Add mandatory Unsloth inference state toggles around generation for RL pipeline

Capture and display exact Unsloth import exception

Update with existing environment

Fix GRPO group-loss training and align UI defaults.

Migrate LLM pipeline to custom GRPO with robust rewards

Multi-model benchmark pipeline: VRAM cleanup + EMA graph + detailed output

Fix truncation: 80 tokens, regex safety net, strict prompt

Hackathon speedrun: max_new_tokens=32, seq_len=512 for 4-8x faster iterations

Replace flash-attn with PyTorch built-in SDPA (no CUDA compile needed)

Max GPU utilization: flash-attn2 + grad accumulation + 15 steps/ep + 1024 seq len

Switch to Llama 3.1 8B + fix low-timestep crash (min 5000)

Add LLM RL training with Gemma 7B + LoRA

Add Cloud Arena Mathematical Model RL environment