ANanneta·Nov 20, 2024Submission
Show HN: AnyModal – A Flexible Multimodal Language Model Framework for PyTorch
1 points · Open discussionritabratamaiti
AnyModal
Python2024–2024
ritabratamaiti / AnyModal
AnyModal
AnyModal is a Flexible Multimodal Language Model Framework for PyTorch
2Distinct people
3Mentions
0Explicit recommenders
105GitHub stars
What to know before exploring
What it is
AnyModal is a Flexible Multimodal Language Model Framework for PyTorch
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
No other repository is repeatedly linked in the same discussions.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by 3-hour interval3 dated mentions
Observed mentions: 2024-11-17 12:45:09 UTC to 2024-11-20 16:41:25 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Nov 17, 12:00 | 2024-11-17 12:00:00 UTC | 2024-11-17 15:00:00 UTC | 1 | 1 | 0 |
| Nov 17, 15:00 | 2024-11-17 15:00:00 UTC | 2024-11-17 18:00:00 UTC | 0 | 0 | 0 |
| Nov 17, 18:00 | 2024-11-17 18:00:00 UTC | 2024-11-17 21:00:00 UTC | 0 | 0 | 0 |
| Nov 17, 21:00 | 2024-11-17 21:00:00 UTC | 2024-11-18 00:00:00 UTC | 0 | 0 | 0 |
| Nov 18, 00:00 | 2024-11-18 00:00:00 UTC | 2024-11-18 03:00:00 UTC | 0 | 0 | 0 |
| Nov 18, 03:00 | 2024-11-18 03:00:00 UTC | 2024-11-18 06:00:00 UTC | 0 | 0 | 0 |
| Nov 18, 06:00 | 2024-11-18 06:00:00 UTC | 2024-11-18 09:00:00 UTC | 0 | 0 | 0 |
| Nov 18, 09:00 | 2024-11-18 09:00:00 UTC | 2024-11-18 12:00:00 UTC | 0 | 0 | 0 |
| Nov 18, 12:00 | 2024-11-18 12:00:00 UTC | 2024-11-18 15:00:00 UTC | 0 | 0 | 0 |
| Nov 18, 15:00 | 2024-11-18 15:00:00 UTC | 2024-11-18 18:00:00 UTC | 0 | 0 | 0 |
| Nov 18, 18:00 | 2024-11-18 18:00:00 UTC | 2024-11-18 21:00:00 UTC | 0 | 0 | 0 |
| Nov 18, 21:00 | 2024-11-18 21:00:00 UTC | 2024-11-19 00:00:00 UTC | 0 | 0 | 0 |
| Nov 19, 00:00 | 2024-11-19 00:00:00 UTC | 2024-11-19 03:00:00 UTC | 0 | 0 | 0 |
| Nov 19, 03:00 | 2024-11-19 03:00:00 UTC | 2024-11-19 06:00:00 UTC | 0 | 0 | 0 |
| Nov 19, 06:00 | 2024-11-19 06:00:00 UTC | 2024-11-19 09:00:00 UTC | 1 | 0 | 1 |
| Nov 19, 09:00 | 2024-11-19 09:00:00 UTC | 2024-11-19 12:00:00 UTC | 0 | 0 | 0 |
| Nov 19, 12:00 | 2024-11-19 12:00:00 UTC | 2024-11-19 15:00:00 UTC | 0 | 0 | 0 |
| Nov 19, 15:00 | 2024-11-19 15:00:00 UTC | 2024-11-19 18:00:00 UTC | 0 | 0 | 0 |
| Nov 19, 18:00 | 2024-11-19 18:00:00 UTC | 2024-11-19 21:00:00 UTC | 0 | 0 | 0 |
| Nov 19, 21:00 | 2024-11-19 21:00:00 UTC | 2024-11-20 00:00:00 UTC | 0 | 0 | 0 |
| Nov 20, 00:00 | 2024-11-20 00:00:00 UTC | 2024-11-20 03:00:00 UTC | 0 | 0 | 0 |
| Nov 20, 03:00 | 2024-11-20 03:00:00 UTC | 2024-11-20 06:00:00 UTC | 0 | 0 | 0 |
| Nov 20, 06:00 | 2024-11-20 06:00:00 UTC | 2024-11-20 09:00:00 UTC | 0 | 0 | 0 |
| Nov 20, 09:00 | 2024-11-20 09:00:00 UTC | 2024-11-20 12:00:00 UTC | 0 | 0 | 0 |
| Nov 20, 12:00 | 2024-11-20 12:00:00 UTC | 2024-11-20 15:00:00 UTC | 0 | 0 | 0 |
| Nov 20, 15:00 | 2024-11-20 15:00:00 UTC | 2024-11-20 18:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
3 sourcesLooks quite interesting! I’ve been working on AnyModal, a framework for integrating different data types (like images and audio) with LLMs: https://github.com/ritabratamaiti/AnyModal. It seems that voyage-multimodal-3 would be quite promising in developing multimodal LLMs, but I am not sure if that is the intended use case.
In All-in-one embedding model for interleaved text, images, and screenshotsShow HN: AnyModal – Train Your Own Multimodal LLMs
I’ve been working on AnyModal, a framework for integrating different data types (like images and audio) with LLMs. Existing tools felt too limited or task-specific, so I wanted something more flexible. AnyModal makes it easy to combine modalities with minimal setup—whether it’s LaTeX OCR, image captioning, or chest X-ray interpretation.
You can plug in models like ViT for image inputs, project them into a token space for your LLM, and handle tasks like visual question answering or audio captioning. It’s still a work in progress, so feedback or contributions would be great.
GitHub: https://github.com/ritabratamaiti/AnyModal
8 points · Open discussion