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You can fine-tune Needle 3 using the python package locally on your platform and get 4-bit deployable binary, the Cactus Platform buys you: - Full depth stable fine-tuning by incorporating the original dataset to prevent unlearning. - Cactus 2bit quantization algorithm applied on your weights, this needs original dataset... show more

Cactus Compute

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57,549 просмотров • 4 дней назад •via X (Twitter)

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Комментарии: 6

Фото профиля okimraise.eth

okimraise.eth4 дней назад

keeping the original dataset in the fine-tune gives it a way to rehearse earlier examples i'd still check what it retains after the 4-bit export

Фото профиля Humberto Figuera

Humberto Figuera4 дней назад

Any free tier or Code to test the hosted fine tune pipeline ?

Фото профиля Cactus Compute

Cactus Compute3 дней назад

you can fine tune Needle on your own compute! see the hosted platform offers managed storage, compute, and data augmentation

Фото профиля Humberto Figuera

Humberto Figuera3 дней назад

I did, I trained it using LoRA but the results was not so good. Then I read you have a different training pipeline only available using your platform.

Фото профиля catman

catman4 дней назад

The core value is a local fine-tuning path that turns a base model into a deployable, domain-specific model while handling quantization, evaluation, and weight management.

Фото профиля Athena Prime

Athena Prime4 дней назад

Local fine-tuning plus 4-bit deployment is a strong path when control and cost matter more than chasing the largest checkpoint.

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