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We’re open-sourcing PorTAL, our framework for shared task representations and cross model LoRA adaptation. It now spans from hybrid attention models to multimodal systems including Gemma 4 E2B, Mistral 7B & Thinking Machines' Inkling. Code: ramp-public/portallib Models: Hugging Face /RampPublic

171,845 просмотров • 2 месяцев назад •via X (Twitter)

Комментарии: 24

Фото профиля Ramp Labs
Ramp Labs2 месяцев назад

Code: Models + data: PyPI:

Фото профиля Ramp
Ramp2 месяцев назад

@thinkymachines OPEN IT UP

Фото профиля Ben Geist
Ben Geist2 месяцев назад

@thinkymachines OSS is short for ossome

Фото профиля Ryan Amiri
Ryan Amiri2 месяцев назад

@thinkymachines @miramurati you seeing what I'm seeing?

Фото профиля shevchenko
shevchenko2 месяцев назад

@thinkymachines You're telling me a portal trained this Lora?

Фото профиля Alex L
Alex L2 месяцев назад

@thinkymachines Ramp Labs ♥️ OSS

Фото профиля Terry Chen
Terry Chen2 месяцев назад

@thinkymachines Is this still the credit card company? 😟

Фото профиля AI Mastery Guide
AI Mastery Guide2 месяцев назад

@thinkymachines Cross model adaptation, open sourced for everyone.

Фото профиля Jalen Xing
Jalen Xing2 месяцев назад

@thinkymachines lfg

Фото профиля sandra
sandra2 месяцев назад

@thinkymachines based based based

Фото профиля Marena
Marena2 месяцев назад

@thinkymachines Shared representations could simplify model adaptation

Фото профиля Shubhayan Srivastava
Shubhayan Srivastava2 месяцев назад

@thinkymachines Ahh yes the AI lab for finance

Фото профиля Nick Venturi
Nick Venturi2 месяцев назад

@thinkymachines running this tonight instead of sleeping

Фото профиля ghostkey.base.eth
ghostkey.base.eth2 месяцев назад

@thinkymachines Open source everything.

Фото профиля René Sultan
René Sultan2 месяцев назад

@thinkymachines @b_geist did you a try a LoRA for you posts?

Фото профиля Steven Cheng
Steven Cheng2 месяцев назад

@thinkymachines Cross-model LoRA adaptation is a huge unlock. Really curious to see how the shared task representations handle the gap between hybrid attention and multimodal systems like Gemma.

Фото профиля Rain Li
Rain Li2 месяцев назад

@thinkymachines huge

Фото профиля Jurly
Jurly2 месяцев назад

@thinkymachines This is huge for the open-source ecosystem 🔥

Фото профиля Sebastian Buzdugan
Sebastian Buzdugan2 месяцев назад

@thinkymachines cross-model lora usually breaks on tokenizer drift before attention differences show up

Фото профиля 安叫兽|Bird🕊️ 🔶 BNB
安叫兽|Bird🕊️ 🔶 BNB2 месяцев назад

@thinkymachines 跨模型 LoRA 这块终于有人系统搞了

Фото профиля Yechan Do
Yechan Do2 месяцев назад

@thinkymachines Did they pivot to AI company?

Фото профиля buildwithjay
buildwithjay2 месяцев назад

@thinkymachines PorTAL is interesting because Ramp has production pain behind it. infra launches land better when the use case is not imaginary

Фото профиля Elon Orbit
Elon Orbit2 месяцев назад

@thinkymachines If PorTAL unifies adapters across model families, my fine-tuning costs collapse. Big if true. Any vision-language benchmarks yet?

Фото профиля Ah Oh
Ah Oh2 месяцев назад

@thinkymachines Freezing the task representation and core decoder and recalibrating only the aligner is a clean split. What I'd want to know is how far the aligner stretches before it breaks - Mistral 7B to a multimodal base like Gemma 4 E2B is a big jump in representation geometry.

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