Harden HF job token wiring and persist full training outputs

Fix TRL 0.18 compatibility: remove unsupported generation_kwargs; set safety flags on model.generation_config.

Harden GRPO generation stability on CUDA: bf16 + eager attention + invalid-logit guards.

Fix GRPO batch/generation mismatch: auto-adjust num_generations; set launcher default to 2.

Simplify HF training stack: remove unsloth/vllm path, use plain transformers AutoModel + single OpenEnv reward.

Fix Unsloth startup: avoid pre-importing trl/transformers; mock vllm as real package modules.

Fix HF job startup: import unsloth first and shim vllm package metadata check.

Fix HF Job bootstrap: transformers>=4.51 for trl 0.18, datasets<4; simplify to colab-style OpenEnv SQL reward.

Fix HF Jobs bootstrap (pin transformers/trl, drop torchao stack); add reward and trainer JSONL logging; stabilize launch_job.

changes in ultimate sota

Fix: Mock vllm and llm_blender to stabilize GRPOTrainer in HF Jobs environment

Downgrade TRL to 0.22.2 to natively bypass experimental vllm dependencies

Fix vllm error cleanly by creating fake python module structure

Add vllm to dependencies to fix TRL's hard import requirement

Remove vllm mock to fix importlib find_spec crash in TRL 0.23

Mock vllm to bypass TRL missing module error

Downgrade TRL to <0.24.0 to fix missing dependency chain

Add TRANSFORMERS_CACHE mock to fix TRL/llm_blender crash

Fix llm-blender ModuleNotFoundError

Ensure TRL GRPO imports by installing mergekit

Prevent torchvision import crashes in HF Jobs

Make OpenEnv training+API judge-proof

Add --break-system-packages for Ubuntu 24.04 (PEP-668)

Fix TRL and Torchao dependency conflicts

Deploy: SOTA RL Cartesian Task and Unsloth Scripts