Loading video...

Video Failed to Load

Go Home

Molmo by Ai2 - Open source SoTA Multimodal (Vision) Language model, beating Claude 3.5 Sonnet, GPT4V and comparable to GPT4o 🔥 They release four model checkpoints: 1. MolmoE-1B, a mixture of experts model with 1B (active) 7B (total) 2. Molmo-7B-O, most open 7B model 3. Molmo-7B-D, demo model 4....

80,474 views • 2 years ago •via X (Twitter)

10 Comments

Vaibhav (VB) Srivastav's profile picture
Vaibhav (VB) Srivastav2 years ago

Check out their model checkpoints on the Hub:

Gene Sh's profile picture
Gene Sh2 years ago

@allen_ai Great to see advancements in open source multimodal models!

Carlos Rene | DEGA.org's profile picture
Carlos Rene | DEGA.org2 years ago

@allen_ai Paul Allen really left an impressive legacy.

CrytpoBro 🇮🇨's profile picture
CrytpoBro 🇮🇨2 years ago

@allen_ai @ollama

Everyday AI Lab's profile picture
Everyday AI Lab2 years ago

@EMostaque @allen_ai Heartening to see the how much open source models are progressing.

ppaanngggg's profile picture
ppaanngggg2 years ago

@allen_ai amazing

Yorkie's profile picture
Yorkie2 years ago

@allen_ai Nice! New vision model that will need support in llama.cpp!

Alex Reichenbach's profile picture
Alex Reichenbach2 years ago

@allen_ai Any idea why they didn’t use rlhf/dpo?

iamrobotbear (bk)'s profile picture
iamrobotbear (bk)2 years ago

@allen_ai Wait, @allen_ai Did I miss something, what is the main difference between 7b-o and d? I know the 7B-D is the version on your demo, but in terms of the model or capabilities, I'm a bit confused.

Abdelhamid Mokhtar's profile picture
Abdelhamid Mokhtar2 years ago

@allen_ai domain name for sale

Related Videos

We’re excited to announce the release and open-source of HunyuanImage 3.0 — the largest and most powerful open-source text-to-image model to date, with over 80 billion total parameters, of which 13 billion are activated per token during inference.The effect is completely comparable to the industry’s flagship closed-source model.🚀🚀🚀 HunyuanImage 3.0 originates from our internally developed native multimodal large language model, with fine-tuning and post-training focused on text-to-image generation. This unique foundation gives the model a powerful set of capabilities: ✅Reason with world knowledge ✅Understand complex, thousand-word prompts ✅Generate precise text within images Different from traditional DiT architecture image generation models, HunyuanImage 3.0’s MoE architecture uses a Transfusion-based approach to deeply couple Diffusion and LLM training for a single, powerful system. Built on Hunyuan-A13B, HunyuanImage 3.0 was trained on a massive dataset: 5 billion image-text pairs, video frames, interleaved image-text data, and 6 trillion tokens of text corpora. This hybrid training across multimodal generation, understanding, and LLM capabilities allows the model to seamlessly integrate multiple tasks. Whether you're an illustrator, designer, or creator, this is built to slash your workflow from hours to minutes. HunyuanImage 3.0 can generate intricate text, detailed comics, expressive emojis, and lively, engaging illustrations for educational content. The current release focuses solely on text-to-image generation and future updates will include image-to-image, image editing, multi-turn interaction, and more. 👉🏻Try it now: 🔗GitHub: 🤗Hugging Face:

Tencent Hy

413,296 views • 1 year ago