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Hey, engineer at Oxen.ai here. Glad the fine-tuning worked well for this project! If anyone has questions on that part of it we would be happy to answer. We ha

Hey, engineer at Oxen.ai here. Glad the fine-tuning worked well for this project! If anyone has questions on that part of it we would be happy to answer. We have a blog post on a similar workflow here: https://www.oxen.ai/blog/how-we-cut-inference-costs-from-46k-to-7-5k-fine-tuning-qwen-image-edit https://www.oxen.ai/blog/how-we-cut-inference-costs-from-46k... On the inference cost and speed: we're actively working on that and have a pretty massive upgrade there coming soon.

cannoneyed 9mo ago
Hell yeah oxen.ai is awesome, made my life so much easier
skerit 9mo ago
I didn't know Oxen.ai. I took a look at your docs on how to fine-tune LLMs: > Oxen.ai supports datasets in a variety of file formats. The only requirement is that you have a column where each row is a list of messages. Each message is an dictionary with a role and content key. The role can be “system”, “user”, or “assistant”. The content is the message content. Oh, so you're forced to use the ChatML multi-turn conversation format.