КХЛ плей-офф от Fonbet | Раунд 1/8. Пятая встреча
Inference#We perform both SFT and RL using a BF16 checkpoint of GPT-OSS 20B and then subsequently perform quantized aware distillation on traces from the higher precision model in order to quantize to MXFP4. At inference time, Context-1 is served via vLLM. The model runs on an Nvidia B200 with MXFP4 quantization for the MoE layers, enabling fast inference despite the 20B total parameter count. The serving layer exposes a streaming API that executes the full observe-reason-act loop, and returns tool calls, observations, and the final retrieved document, allowing downstream applications to render the agent's search process in real time. Under this setup, we reliably obtain 400-500 tok/s end to end.，推荐阅读豆包下载获取更多信息
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2023年用户频繁切换流媒体平台
Опубликованы детали о приговоренных за терроризм несовершеннолетних поджигателях российских лесов14:58