binary-husky bdd46c5dd1
Version 3.74: Merge latest updates on dev branch (frontier) (#1621)
* Update version to 3.74

* Add support for Yi Model API (#1635)

* 更新以支持零一万物模型

* 删除newbing

* 修改config

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Co-authored-by: binary-husky <qingxu.fu@outlook.com>

* Refactor function signatures in bridge files

* fix qwen api change

* rename and ref functions

* rename and move some cookie functions

* 增加haiku模型,新增endpoint配置说明 (#1626)

* haiku added

* 新增haiku,新增endpoint配置说明

* Haiku added

* 将说明同步至最新Endpoint

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Co-authored-by: binary-husky <qingxu.fu@outlook.com>

* private_upload目录下进行文件鉴权 (#1596)

* private_upload目录下进行文件鉴权

* minor fastapi adjustment

* Add logging functionality to enable saving
conversation records

* waiting to fix username retrieve

* support 2rd web path

* allow accessing default user dir

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Co-authored-by: binary-husky <qingxu.fu@outlook.com>

* remove yaml deps

* fix favicon

* fix abs path auth problem

* forget to write a return

* add `dashscope` to deps

* fix GHSA-v9q9-xj86-953p

* 用户名重叠越权访问patch (#1681)

* add cohere model api access

* cohere + can_multi_thread

* fix block user access(fail)

* fix fastapi bug

* change cohere api endpoint

* explain version

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Co-authored-by: Menghuan1918 <menghuan2003@outlook.com>
Co-authored-by: Skyzayre <120616113+Skyzayre@users.noreply.github.com>
Co-authored-by: XIao <46100050+Kilig947@users.noreply.github.com>
2024-04-08 11:49:30 +08:00
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P.S. 如果您按照以下步骤成功接入了新的大模型欢迎发Pull Requests如果您在自己接入新模型的过程中遇到困难欢迎加README底部QQ群联系群主

如何接入其他本地大语言模型

  1. 复制request_llms/bridge_llama2.py,重命名为你喜欢的名字

  2. 修改load_model_and_tokenizer方法加载你的模型和分词器去该模型官网找demo复制粘贴即可

  3. 修改llm_stream_generator方法定义推理模型去该模型官网找demo复制粘贴即可

  4. 命令行测试

    • 修改tests/test_llms.py(聪慧如您,只需要看一眼该文件就明白怎么修改了)
    • 运行python tests/test_llms.py
  5. 测试通过后,在request_llms/bridge_all.py中做最后的修改,把你的模型完全接入到框架中(聪慧如您,只需要看一眼该文件就明白怎么修改了)

  6. 修改LLM_MODEL配置,然后运行python main.py,测试最后的效果

如何接入其他在线大语言模型

  1. 复制request_llms/bridge_zhipu.py,重命名为你喜欢的名字

  2. 修改predict_no_ui_long_connection

  3. 修改predict

  4. 命令行测试

    • 修改tests/test_llms.py(聪慧如您,只需要看一眼该文件就明白怎么修改了)
    • 运行python tests/test_llms.py
  5. 测试通过后,在request_llms/bridge_all.py中做最后的修改,把你的模型完全接入到框架中(聪慧如您,只需要看一眼该文件就明白怎么修改了)

  6. 修改LLM_MODEL配置,然后运行python main.py,测试最后的效果