HTTP/1.1 200 OK Date: Wed, 28 Feb 2024 02:02:31 GMT Content-Type: text/event-stream;charset=utf-8 Cache-Control: no-cache Statement: AI-generated X-Ratelimit-Limit-Requests: 300 X-Ratelimit-Limit-Tokens: 300000 X-Ratelimit-Remaining-Requests: 299 X-Ratelimit-Remaining-Tokens: 299994 ...
HTTP/1.1 200 OK Date: Mon, 12 Apr 2021 06:27:55 GMT Content-Type: text/event-stream;charset=utf-8 Cache-Control: no-cache Statement: AI-generated data: {"id":"as-ywwpgx4dt7","object":"chat.completion","created":1680166793,"sentence_id":0,"is_end":false,"is_truncated":false,"re...
necessary interactions with ModelScope backend services, particularly with the Model-Hub and Dataset-Hub. Such interactions facilitate management of various entities (models and datasets) to be performed seamlessly under-the-hood, including entity lookup, version control, cache management, and many ...
我们设计ModelCache为类redis结构,提供了开放式的数据查询、数据回写、数据管理等API,同时解耦了大模型调用,可作为一个独立模块嵌入到大模型产品。通过ModelCache,产品侧能够更加灵活地管理和使用大模型,提高系统的可维护性和可扩展性。 3.1.2 核心模块 在ModelCache中,包含了一系列核心模块,包括adapter、embedding、ran...
如何提高这个排序的过程,我觉得在这里指令集是有最大的优势的,他有两个好处,一是一次性处理多个字节,比如SSE处理16个字节,这样我也就可以一次性加载16个字节,整体而言就少了很多次cache miss,第二,如果我需要利用指令集,则我需要尽量的避免条件判断,因此,很多稍微显得高级一点的排序都不太合适,我需要找到那种固定...
cache:enabled:trueexpiration:3600# 缓存过期时间storage_path:"/path/to/cache" 1. 2. 3. 4. 类图 配置项关联的类图可以帮助理解不同配置项之间的相互作用。 managesCacheManager+bool isEnabled+int expiration+path storagePathCache+key+value 实战应用 ...
sh脚本推理的时候显存占用47%，但是再启一个推理进程的话，就阻塞不动了，能一个卡同时启动2个同样...
which are owned by their contributors and licensed under the 3BSD license. Any copy of that license in this repository applies only to those contributions. Redis releases all Redis Community Edition versions from 7.4.x and thereafter under the RSALv2/SSPL dual-license as described in theLICENSE...
NUMA node(s): 2 Vendor ID: GenuineIntel CPU family: 6 Model: 143 Model name: Intel(R) Xeon(R) Platinum 8462Y+ Stepping: 8 CPU MHz: 3947.072 CPU max MHz: 4100.0000 CPU min MHz: 800.0000 BogoMIPS: 5600.00 Virtualization: VT-x L1d cache: 48K L1i cache: 32K L2 ...
您在使用文本生成模型时,不同的推理请求之间可能会有重合的输入内容(如多轮对话、针对一本书的多次提问等),Context Cache 技术可以将这些请求的公共前缀内容进行缓存,在推理时减少重复的运算量,提升响应速度,在不影响回复效果的情况下降低您的使用成本。 支持的模型 当前支持qwen-max、 qwen-plus、qwen-turbo模型。