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

24 pointsby abhaymover 1 year ago
Hi all, today we&#x27;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.<p>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<p>You can prompt all of the fine-tuned models today and compare their results to mistral-7b-instruct in real time!<p>We&#x27;d love to hear comments and feedback from the community

2 comments

michaelortega01over 1 year ago
Here&#x27;s the blog: <a href="https:&#x2F;&#x2F;predibase.com&#x2F;blog&#x2F;lora-land-fine-tuned-open-source-llms-that-outperform-gpt-4" rel="nofollow">https:&#x2F;&#x2F;predibase.com&#x2F;blog&#x2F;lora-land-fine-tuned-open-source-...</a>
magdyksover 1 year ago
Can you please explain how you were able to fine-tune these models for less than $8?
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