[Research] 2,788 tokens/s on a single RTX 5090 with a diffusion LLM — Introducing ORL (fully open source)
英文标题:[Research] 2,788 tokens/s on a single RTX 5090 with a diffusion LLM — Introducing ORL (fully open source)
Hey r/LocalLLaMA! We're excited to share ORL (On-Policy Residual Learning), our new research on making diffusion language models (dLLMs) significantly faster without sacrificing generation quality. With ORL and our custom inference engine dlmrt, we've achieved: 2,788 tokens/s on a single RTX
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中文
Hey r/LocalLLaMA! We're excited to share ORL (On-Policy Residual Learning), our new research on making diffusion language models (dLLMs) significantly faster without sacrificing generation quality. With ORL and our custom inference engine dlmrt, we've achieved: 2,788 tokens/s on a single RTX
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English / 原文
Hey r/LocalLLaMA! We're excited to share ORL (On-Policy Residual Learning), our new research on making diffusion language models (dLLMs) significantly faster without sacrificing generation quality. With ORL and our custom inference engine dlmrt, we've achieved: 2,788 tokens/s on a single RTX