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Show HN: LoraLand – 25 fine-tuned LLMs that beat GPT-4 (predibase.com)
24 points by abhaym 9 months ago | hide | past | favorite | 3 comments
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





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


We fine-tuned all of these adapters using Predibase. You can take a look at the pricing here: https://predibase.com/pricing




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