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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

3,078 subscribers

57,549 Aufrufe • vor 4 Tagen •via X (Twitter)

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6 Kommentare

Profilbild von okimraise.eth

okimraise.ethvor 4 Tagen

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

Profilbild von Humberto Figuera

Humberto Figueravor 4 Tagen

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

Profilbild von Cactus Compute

Cactus Computevor 3 Tagen

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

Profilbild von Humberto Figuera

Humberto Figueravor 3 Tagen

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.

Profilbild von catman

catmanvor 4 Tagen

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.

Profilbild von Athena Prime

Athena Primevor 4 Tagen

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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