Comments (2)
I've added Ollama support via a provider plugin: https://github.com/llm-workflow-engine/lwe-plugin-provider-chat-ollama
Also Anyscale support: https://github.com/llm-workflow-engine/lwe-plugin-provider-chat-anyscale
This now gives access to a wide range of OSS LLMs.
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Besides the default OpenAI Chat plugin, these are the following provider plugins that have been implemented:
I suspect https://github.com/llm-workflow-engine/lwe-plugin-provider-huggingface-hub could run local custom models, but I've only tried it with a few of the more popular hosted models on Hugging Face.
Writing a new provider plugin is fairly simple, if someone wanted to, for example, run Llama locally. Best documentation for how to do that is reading the code of existing plugins, and asking here.
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Related Issues (20)
- I would like to reference a previous answer HOT 1
- Support passing metadata when used via Unix pipes HOT 1
- Option to disable the metadata after chat response? HOT 1
- Discard history before a certain point? HOT 4
- Add support for max_submission_tokens to presets HOT 3
- Failed to Read Response HOT 5
- iteratively increasing openai api usage? HOT 4
- How to change default model? HOT 3
- OpenAI SDK update to v1.x breaks LWE HOT 2
- /examples not found in path when I try to install examples (on windows) HOT 3
- lwe config leads to error HOT 7
- bard support? HOT 2
- No module named 'lwe.core.constants' HOT 2
- ERROR: Invalid pattern is specified in "path:pattern" HOT 11
- No Windows console found. Are you running cmd.exe? HOT 9
- Setup lwe with non-default provider HOT 4
- `__call__` was deprecated in LangChain 0.1.7
- Improve lwe startup time HOT 2
- How do i change the model? HOT 2
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