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Projects Blog About Donations Contact Projects Blog About Donations Contact About LMSYS Large Model Systems (LMSYS Corp.) is a 501(c)(3) non-profit focused on incubating open-source projects and research.
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Miles v0.1: Production-level Post-training
We present Miles v0.1, a full-stack production-ready system for frontier post-training, the successor to our first Miles release. Building upon slime's clean design, Miles optimizes every stage in the...
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Agent-Assisted SGLang Development: An Initial Exploration
SGLang development increasingly goes beyond isolated code changes. The same repository now spans LLM serving, distributed runtime, GPU kernels, diffusion pipelines, model-specific execution paths, and...
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The next generation of speculative decoding: DFlash and Spec V2
Using Modal and Z Lab's DFlash speculative decoding models with SGLang's newly default Spec V2 engine, you can achieve state-of-the-art latencies for LLM inference serving. Our new, jointly-released D...
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No Token Left Behind: Demystifying Token-In-Token-Out in Miles
In agentic RL, a rollout is not a single generation. It is a chain of model calls, tool outputs, harness messages, and resumed generations. Token-In-Token-Out (TITO) is a design principle that address...
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DeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Miles
We are thrilled to announce Day-0 support for DeepSeek-V4 across both inference and RL training. SGLang and Miles form the first open-source stack to serve and train DeepSeek-V4 on launch day - with s...
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