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open-instruct 0.3.0

This is a big one, as I haven't released since March. Whoops! Also my last release as maintainer, as today is my last day at Ai2. I'll miss you all. Added - Add minimax-m3 to PRICE_PER_MILLION_TOKENS in open_instruct/judge_utils.py for cost tracking on the latest MiniMax flagship model.

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open-instruct 0.2.0

Notable changelog items: 1. Fixed a major but where ZeRO-2 was discarding gradients. 2. We now support training with a RLEnvironment abstraction, including code execution sandboxing. 3. The Olmo-core DPO is ready to go, with support for TP, packing, and torch.compile. This should be much faster than the previous HF implementation. 4.

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open-instruct 0.1.0

We have made the following changes to open-instruct: Added - Added OLMo-core based DPO training script (). - Added SLURM scripts for OLMo SFT training with checkpoint resume support and configurable shuffle seed. - Added retry logic with exponential backoff to make_api_request for tool API calls (retries on timeouts, connection errors, 429, and 5xx).

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Ships open-instruct as open source on GitHub.

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