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30 lines
2.1 KiB
Markdown
30 lines
2.1 KiB
Markdown
# LM Studio
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:::info
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This is only helpful for self-hosted users. If you're using [Khoj Cloud](https://app.khoj.dev), you're limited to our first-party models.
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:::
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:::info
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Khoj natively supports local LLMs [available on HuggingFace in GGUF format](https://huggingface.co/models?library=gguf). Using an OpenAI API proxy with Khoj maybe useful for ease of setup, trying new models or using commercial LLMs via API.
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:::
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[LM Studio](https://lmstudio.ai/) is a desktop app to chat with open-source LLMs on your local machine. LM Studio provides a neat interface for folks comfortable with a GUI.
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LM Studio can expose an [OpenAI API compatible server](https://lmstudio.ai/docs/local-server). This makes it possible to turn chat models from LM Studio into your personal AI agents with Khoj.
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## Setup
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1. Install [LM Studio](https://lmstudio.ai/) and download your preferred Chat Model
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2. Go to the Server Tab on LM Studio, Select your preferred Chat Model and Click the green Start Server button
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3. Create a new [OpenAI Processor Conversation Config](http://localhost:42110/server/admin/database/openaiprocessorconversationconfig/add) on your Khoj admin panel
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- Name: `proxy-name`
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- Api Key: `any string`
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- Api Base Url: `http://localhost:1234/v1/` (default for LMStudio)
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4. Create a new [Chat Model Option](http://localhost:42110/server/admin/database/chatmodeloptions/add) on your Khoj admin panel.
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- Name: `llama3` (replace with the name of your local model)
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- Model Type: `Openai`
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- Openai Config: `<the proxy config you created in step 3>`
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- Max prompt size: `2000` (replace with the max prompt size of your model)
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- Tokenizer: *Do not set for OpenAI, mistral, llama3 based models*
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5. Create a new [Server Chat Setting](http://localhost:42110/server/admin/database/serverchatsettings/add/) on your Khoj admin panel
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- Default model: `<name of chat model option you created in step 4>`
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- Summarizer model: `<name of chat model option you created in step 4>`
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6. Go to [your config](http://localhost:42110/configure) and select the model you just created in the chat model dropdown.
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