Update docs to mention using Llama 3.1 and 20K max prompt size for it

Update stale credits to better reflect bigger open source dependencies
This commit is contained in:
Debanjum Singh Solanky
2024-08-22 20:27:58 -07:00
parent 238bc11a50
commit bdb81260ac
5 changed files with 13 additions and 12 deletions

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@@ -26,11 +26,11 @@ Using LiteLLM with Khoj makes it possible to turn any LLM behind an API into you
- Api Key: `any string`
- Api Base Url: **URL of your Openai Proxy API**
4. Create a new [Chat Model Option](http://localhost:42110/server/admin/database/chatmodeloptions/add) on your Khoj admin panel.
- Name: `llama3` (replace with the name of your local model)
- Name: `llama3.1` (replace with the name of your local model)
- Model Type: `Openai`
- Openai Config: `<the proxy config you created in step 3>`
- Max prompt size: `2000` (replace with the max prompt size of your model)
- Tokenizer: *Do not set for OpenAI, mistral, llama3 based models*
- Max prompt size: `20000` (replace with the max prompt size of your model)
- Tokenizer: *Do not set for OpenAI, Mistral, Llama3 based models*
5. Create a new [Server Chat Setting](http://localhost:42110/server/admin/database/serverchatsettings/add/) on your Khoj admin panel
- Default model: `<name of chat model option you created in step 4>`
- Summarizer model: `<name of chat model option you created in step 4>`

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@@ -19,10 +19,10 @@ LM Studio can expose an [OpenAI API compatible server](https://lmstudio.ai/docs/
- Api Key: `any string`
- Api Base Url: `http://localhost:1234/v1/` (default for LMStudio)
4. Create a new [Chat Model Option](http://localhost:42110/server/admin/database/chatmodeloptions/add) on your Khoj admin panel.
- Name: `llama3` (replace with the name of your local model)
- Name: `llama3.1` (replace with the name of your local model)
- Model Type: `Openai`
- Openai Config: `<the proxy config you created in step 3>`
- Max prompt size: `2000` (replace with the max prompt size of your model)
- Max prompt size: `20000` (replace with the max prompt size of your model)
- Tokenizer: *Do not set for OpenAI, mistral, llama3 based models*
5. Create a new [Server Chat Setting](http://localhost:42110/server/admin/database/serverchatsettings/add/) on your Khoj admin panel
- Default model: `<name of chat model option you created in step 4>`

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@@ -17,17 +17,17 @@ Ollama exposes a local [OpenAI API compatible server](https://github.com/ollama/
1. Setup Ollama: https://ollama.com/
2. Start your preferred model with Ollama. For example,
```bash
ollama run llama3
ollama run llama3.1
```
3. Create a new [OpenAI Processor Conversation Config](http://localhost:42110/server/admin/database/openaiprocessorconversationconfig/add) on your Khoj admin panel
- Name: `ollama`
- Api Key: `any string`
- Api Base Url: `http://localhost:11434/v1/` (default for Ollama)
4. Create a new [Chat Model Option](http://localhost:42110/server/admin/database/chatmodeloptions/add) on your Khoj admin panel.
- Name: `llama3` (replace with the name of your local model)
- Name: `llama3.1` (replace with the name of your local model)
- Model Type: `Openai`
- Openai Config: `<the ollama config you created in step 3>`
- Max prompt size: `1000` (replace with the max prompt size of your model)
- Max prompt size: `20000` (replace with the max prompt size of your model)
5. Create a new [Server Chat Setting](http://localhost:42110/server/admin/database/serverchatsettings/add/) on your Khoj admin panel
- Default model: `<name of chat model option you created in step 4>`
- Summarizer model: `<name of chat model option you created in step 4>`