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brysgo
Available on FriendliAI
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Model Details
Model Provider
brysgo
Model Tree
Input Modalities
Output Modalities
Supported Functionality
grpo_training_data.jsonl: prompt, thought, action, reward, and observed state trajectories.rl_trajectories_with_cot.jsonl: environment-side trajectory log with chain-of-thought separated from action JSON.logs/collection_summary.json: aggregate data-collection metrics.logs/grpo_reward_100_fixed.jsonl: reward log from the 100-step GRPO run.logs/train_grpo_100_fixed.log: training log for the completed fixed GRPO run.gol-grpo-100-fixed/: trainer metadata/config. Large model weights are included only when uploaded with --include-model and present locally.unknownunknownunknownunknownunknownunknownThe first 100-step GRPO run completed, but generated completions were clipped at the configured maximum length. Later local code changes tightened prompt formatting, added format penalties, and hardened reward logic against detector/entity-count exploits.