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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 次观看 • 2 个月前 •via X (Twitter)

24 条评论

Ramp Labs 的头像
Ramp Labs2 个月前

Code: Models + data: PyPI:

Ramp 的头像
Ramp2 个月前

@thinkymachines OPEN IT UP

Ben Geist 的头像
Ben Geist2 个月前

@thinkymachines OSS is short for ossome

Ryan Amiri 的头像
Ryan Amiri2 个月前

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

shevchenko 的头像
shevchenko2 个月前

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

Alex L 的头像
Alex L2 个月前

@thinkymachines Ramp Labs ♥️ OSS

Terry Chen 的头像
Terry Chen2 个月前

@thinkymachines Is this still the credit card company? 😟

AI Mastery Guide 的头像
AI Mastery Guide2 个月前

@thinkymachines Cross model adaptation, open sourced for everyone.

Jalen Xing 的头像
Jalen Xing2 个月前

@thinkymachines lfg

sandra 的头像
sandra2 个月前

@thinkymachines based based based

Marena 的头像
Marena2 个月前

@thinkymachines Shared representations could simplify model adaptation

Shubhayan Srivastava 的头像
Shubhayan Srivastava2 个月前

@thinkymachines Ahh yes the AI lab for finance

Nick Venturi 的头像
Nick Venturi2 个月前

@thinkymachines running this tonight instead of sleeping

ghostkey.base.eth 的头像
ghostkey.base.eth2 个月前

@thinkymachines Open source everything.

René Sultan 的头像
René Sultan2 个月前

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

Steven Cheng 的头像
Steven Cheng2 个月前

@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.

Rain Li 的头像
Rain Li2 个月前

@thinkymachines huge

Jurly 的头像
Jurly2 个月前

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

Sebastian Buzdugan 的头像
Sebastian Buzdugan2 个月前

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

安叫兽|Bird🕊️ 🔶 BNB 的头像
安叫兽|Bird🕊️ 🔶 BNB2 个月前

@thinkymachines 跨模型 LoRA 这块终于有人系统搞了

Yechan Do 的头像
Yechan Do2 个月前

@thinkymachines Did they pivot to AI company?

buildwithjay 的头像
buildwithjay2 个月前

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

Elon Orbit 的头像
Elon Orbit2 个月前

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

Ah Oh 的头像
Ah Oh2 个月前

@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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