Bagel: Open-source unified multimodal model

by tosh • 1 year ago

221 33 1 year ago

mnky9800n• 1 year ago

I couldn’t find it, what are the hardware expectations for bagel?

gunalx• 1 year ago

If you follow the hugginface link at the bottom you get to te actual model. Here https://huggingface.co/ByteDance-Seed/BAGEL-7B-MoT

It seems to be 7b, but like with other new architectures expect to not be able to run it quantizised.

tonii141• 1 year ago

If the model uses FP16 precision and has 7 billion active parameters, it would require approximately 14 GB of VRAM. I didn't read the paper.

sfphoton2• 1 year ago

How can you calculate required VRAM from precision and parameter number?

LourensT• 1 year ago

These days, papers come with an advertisement video

jxjnskkzxxhx2• 1 year ago

As someone who used to be in the academia, I think is isn't bad in itself, I just worry that by comparison it raises the burden of effort that one has to make in order to get their work noticed.

kleiba• 1 year ago

Compared to the effort required to play in that field at all, making a video is almost negligible.

lern_too_spel• 1 year ago

This has been common for CG papers for two decades. Image generation is CG.

charcircuit• 1 year ago

The demo shows pretty weak performance compared to other small models. It misunderstood my question due to picking an uncommon way to interpret it. After clarifying what I wanted it lost all context I had provided in the previous message. My benchmark query intentionally ambiguous and I use it to see how models handle ambiguity, handle information which can be outdated, and handle avoiding hallucination. Usually weak models will just hallucinate an answer, but this model was the first who want able to understand the question.

saretup• 1 year ago

Scalable Perceptual Generative Model

If you wanna call it Bagel, just call it Bagel. No need to make up a justification.

spuz2• 1 year ago

I'm interested in potential alternatives to ChatGPT's advanced voice mode. When I see the word "multimodal" I'm hopeful the model understands text + voice but instead it almost always seems to refer to text + images. Is there a keyword that I can use to look for models that work with voice similar to ChatGPT's advanced voice mode?

amrrs• 1 year ago

Google Gemini Live is pretty good.

If you want to try only voice, Try unmute.sh by Kyutai which will be eventually open-sourced

spuz2• 1 year ago

Thanks - it seems that Gemini Live is pretty far behind advanced voice mode at the moment. For example, I can't get it to speak slower when I want to understand what it is saying.

I'm still interested in what keyword I could use to search for the latest research in voice models.

cjbprime• 1 year ago

I don't know that ChatGPT's voice mode is using audio as a transformer input directly.

It could just be using speech to text (e.g. Whisper) on your input, and then using its text model on the text of your words. Or has OpenAI said that they aren't doing this?

mrshu• 1 year ago

OpenAI does not provide many details about their models these days but they do mention that the "Advanced voice" within ChatGPT operates on audio input directly:

Advanced voice uses natively multimodal models, such as GPT-4o, which means that it directly “hears” and generates audio, providing for more natural, real-time conversations that pick up on non-verbal cues, such as the speed you’re talking, and can respond with emotion.

From https://help.openai.com/en/articles/8400625-voice-mode-faq

moffkalast• 1 year ago

Oh no it's The Everything Bagel.

gregjw• 1 year ago

bagel

pleone• 1 year ago

Is it from ByteDance Team, right? The team behind TikTok, CapCut, BuzzVideo and more. Any thoughts on that?

rvnx• 1 year ago

Like BYD vs Tesla. US is getting more and more late and more closed than ever (e.g. Chinese Qwen LLM versus LLaMA). So long-term, China may emerge as the dominating force in tech.

mdrzn• 1 year ago

A quick test in the "demo" link doesn't show it to be "as smart" as it appeared in the demos on the page. I really hope it does all it's promising to do, but I'm skeptic so far.

mrec• 1 year ago

I found it surprising that even one of the demos on the page appeared to get it wrong. (Chat example #5, explaining the "My Handwriting In Exams" meme.) Not horribly wrong, but still an odd example to cherry-pick for publicity material.

ETA: oof, and it's still getting hands wrong. (Editing demo #12)

sandra_vu• 1 year ago

Hi good job, team. Any plans to commercialize the model?

wsintra2022• 1 year ago

https://news.ycombinator.com/item?id=44063602

jjrv2• 1 year ago

I found a losslessly compressed version: https://github.com/LeanModels/Bagel-DFloat11

It works following readme instructions at least on Ubuntu, on my RTX 3090 GPU with 24 gigs of memory, just barely. Have to close most other windows and lower screen resolution to be able to load the model. Then it generates or edits images in 2-3 minutes. I only have this one GPU and am using Chrome to use the browser interface on the same machine.

The original release won't run on this hardware, but the compressed one is supposed to give identical results.

jjrv2• 1 year ago

I also asked it to explain what's funny in some newspaper comic strips in Finnish. It misunderstands some words and makes up nutty explanations, but most phrases still get translated correctly and its explanations do fit the drawn scenes once you factor in those misunderstandings. For such a small model that seemed impressive.

GrantMoyer• 1 year ago

Nice, it's really an open source model, Apache 2.0.

akacrobat• 1 year ago

This looks exciting! There is a serious dearth of high-quality open-source models with multimodal capabilities. So, really looking forward to playing with this one.

Has anyone here experimented with fine-tuning this for domain-specific applications?

akoculu• 1 year ago

Good summary of the paper: https://x.com/build__ship/status/1926930191185580176

Bagel: Open-source unified multimodal model

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