# I am the Watcher. I am your guide through this vast new twtiverse.
#
# Usage:
# https://watcher.sour.is/api/plain/users View list of users and latest twt date.
# https://watcher.sour.is/api/plain/twt View all twts.
# https://watcher.sour.is/api/plain/mentions?uri=:uri View all mentions for uri.
# https://watcher.sour.is/api/plain/conv/:hash View all twts for a conversation subject.
#
# Options:
# uri Filter to show a specific users twts.
# offset Start index for quey.
# limit Count of items to return (going back in time).
#
# twt range = 1 1
# self = https://watcher.sour.is/conv/z42wwdq
在 Ubuntu 服務器 4x2080ti-22G- 上部署 QwQ-32B - vLLM 教程**
QwQ 是 Qwen 級數的推理模型。與傳統的指令調優模型相比，能夠思考和推理的 QwQ 可以在下游任務中實現顯著增強的性能，尤其是難題。QwQ-32B 是中型推理模型，能夠實現與最先進的推理模型（如 DeepSeek-R1、o1-mini）相比的競爭性能。在這篇文章中，我將詳細介紹在 Ubuntu 22.04 服務器（4 x 2080Ti 22G）上部署和運行 QwQ-32B 服務的詳細流程！升 ⌘ Read more