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👍 @sjy

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@sjy A great PR! 👏👏

I think there is two issue we should discuss:

1. Ollama only support local LLM, it means that we shouldn't display it when user deploy with Docker/Vercel or other platform.So I think we should hide Ollama setttings when there is no ENV of Ollama. Or we need to implement this feature: [RFC] 024 - 浏览器端请求方式改造 #1257 , call LLM from browser.
2. I find that ollama has it's own dev kit: ollama-js. why not use this?

I have tried with my MacBook Pro, the speed is really amazing. cc @cocobeach

@sjy A great PR! 👏👏

I think there is two issue we should discuss:

1. Ollama only support local LLM, it means that we shouldn't display it when user deploy with Docker/Vercel or other platform.So I think we should hide Ollama setttings when there is no ENV of Ollama. Or we need to implement this feature: [RFC] 024 - 浏览器端请求方式改造 #1257 , call LLM from browser.
2. I find that ollama has it's own dev kit: ollama-js. why not use this?

1. A really good point. I will add some visible logic then. For the 1257 feat, I think I need more context
2. We can use ths js sdk either. But the latest version introduced the opai compatible feature and when looking around the existing implemention of existing none-openai modle providers are also implemented with the openai js sdk, I dont know if we need to follow some guiline when add provider which can implemented by multiple ways just like such case here. BTW. the curent ollama api are only partial compatible with openai api, bit the js dev kit is announced containing all features

I have tried with my MacBook Pro, the speed is really amazing. cc @cocobeach

Ollama.mp4

That is truly impressive, can't wait to test it, I only have a i9 8 cores and 32gb or ram so I doubt it will run that fast, I can run Solar reasonably well, I find the open source models less "lazy" than gpt4 that seems unbothered to write code without placeholders. What spec is your MacBook, it is indeed mighty fast?
Well done thanks!!! 🙏

For the 1257 feat, I think I need more context

I think this PR doesn't need to consider #1257, I will do it later. This PR just need to focus on the Ollama Provider.

Beside the visible control, I think there should be another field for the custome models in Ollama. It may be the same as OpenAI's custom models. So then users can add their own local models.

As for the ollama sdk, I prefer your current implement after investigating the ollama js sdk, it current don't support browser by now. So we can't use it when working on #1257.
Besides, the all LLM providers are working on the way to be compatible with OpenAI's API schema. Beside Ollama, there are Zhipu AI（智谱)、 Moonshot Ai(月之暗面) and so on. So we can support them very fast.

Therefore, I think it's better to just use OpenAI sdk.

What spec is your MacBook, it is indeed mighty fast?

My Macbook Pro is a M1 Max 16", 64GB RAM.

What spec is your MacBook, it is indeed mighty fast?

My Macbook Pro is a M1 Max 16", 64GB RAM.

It's is impressive in speed, the x86 is a bit slower.
Well done!
Thanks for implementing Ollama so quickly! 😀😀😀

Looking forward to this new feature to be able to use Ollama local models.

💻 变更类型 | Change Type

• ✨ feat support local llm via ollama (openai compatible)
• 🐛 fix
• ♻️ refactor
• 💄 style
• 🔨 chore
• ⚡️ perf
• 📝 docs

🔀 变更说明 | Description of Change

Support Ollama as an AI Model Provider

• close [Request] Local LLM SUPPORT #1281
• close [Request] local models #1048
• close [Request] LLM 适配 #151

📝 补充信息 | Additional Information

Refs #1283

• Need to wait for the ollma PR merged this https://github.com/ollama/ollama/pull/2376/files
• Update i18n translation
• Which open source models are listed under Ollama by default ( currently is Mistral and Llama2, add Qwen to the default list)

For the 1257 feat, I think I need more context

I think this PR doesn't need to consider #1257, I will do it later. This PR just need to focus on the Ollama Provider.

Beside the visible control, I think there should be another field for the custome models in Ollama. It may be the same as OpenAI's custom models. So then users can add their own local models.

As for the ollama sdk, I prefer your current implement after investigating the ollama js sdk, it current don't support browser by now. So we can't use it when working on #1257. Besides, the all LLM providers are working on the way to be compatible with OpenAI's API schema. Beside Ollama, there are Zhipu AI（智谱)、 Moonshot Ai(月之暗面) and so on. So we can support them very fast.

Therefore, I think it's better to just use OpenAI sdk.

@arvinxx, updated, BTW, Qwen model is added to the default list when enable Ollam, please help review the changes ~

@sjy It's great 👍. And let me take over the rest task~

❤️ Great PR @sjy ❤️

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