Next GPT
Implementation of "NExT-GPT: Any-to-Any Multimodal LLM",
Paper Link
Appreciation
- Lucidrains
- Agorians
Install
pip install next-gpt
Usage
Architecture
Todo
License
MIT
Citations
@articles{wu2023nextgpt,
title={NExT-GPT: Any-to-Any Multimodal LLM},
author={Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, Tat-Seng Chua},
journal = {CoRR},
volume = {abs/2309.05519},
year={2023}
}
Metadata
Release files for omnimodal 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| omnimodal-0.0.1.tar.gz | 21.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| omnimodal-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 42.8 kB
Release files / omnimodal-0.0.1.tar.gz
| Download URL | omnimodal-0.0.1.tar.gz |
|---|---|
| Size | 21.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.2 CPython/3.11.0 Darwin/22.4.0
|
Release files / omnimodal-0.0.1-py3-none-any.whl
| Download URL | omnimodal-0.0.1-py3-none-any.whl |
|---|---|
| Size | 21.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.2 CPython/3.11.0 Darwin/22.4.0
|