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slime
@slime_framework
The LLM post-training framework for RL Scaling.
加入 September 2025
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🚀 slime v0.3.0 is out! This release is a major step toward agent-first RL. We turned slime’s existing multi-turn / agentic capabilities into a more coherent foundation: - slime/agent with reusable sandbox-agent components - OpenAI / Anthropic-compatible adapters - black-box coding-agent RL example - variable global batch-size training - fully async training as a first-class path - lower host-memory usage for more flexible rollout-inference setups - PPO refactor with actor-critic colocation - delta weight sync, FlashQLA for Qwen GDN, --save-hf, and more CI coverage slime is moving closer to a practical open-source framework for large-scale agentic RL. Release note:
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