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upvoted an article about 4 hours ago
Decision Models in Hugging Face
posted an update about 4 hours ago
New post-training example: SFT on agent traces with TRL → A large model works as a coding agent in OpenCode, run through OpenEnv → The tasks it solves become the training data → A 2B model goes from 5.5% to 34.4% on held-out tasks About 500 traces get most of the gain. Five times more add only 3 to 4 points, so SFT gets the agent working and RL has to do the rest Full guide, with the models, traces and every rollout open: https://github.com/huggingface/trl/tree/main/examples/sft_agent_traces
updated a dataset about 9 hours ago
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