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Show HN: LoraLand – 25 fine-tuned LLMs that beat GPT-4

predibase.com

24 points by abhaym 2 years ago · 3 comments · 1 min read

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Hi all, today we're excited to launch LoraLand: 25 fine-tuned mistral-7b models that outperform #gpt4 on task-specific applications ranging from sentiment detection to question answering.

All 25 fine-tuned models… - Outperform GPT-4, GPT-3.5-turbo, and mistral-7b-instruct for specific tasks - Are cost-effectively served from a single GPU through LoRAX - Were trained for less than $8 each on average

You can prompt all of the fine-tuned models today and compare their results to mistral-7b-instruct in real time!

We'd love to hear comments and feedback from the community

michaelortega01 2 years ago

Here's the blog: https://predibase.com/blog/lora-land-fine-tuned-open-source-...

magdyks 2 years ago

Can you please explain how you were able to fine-tune these models for less than $8?

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