GeidiPrime
This is an extremely experimental Transformer architecture with Macaron like FFNs with local attention. Perhap's we can add the visual expert from Zeta and make it multi-modal!
Install
Usage
import torch
from geidi_prime.model import GeidiPrimeTransformer
model = GeidiPrimeTransformer(
dim=4096,
depth=6,
heads=8,
num_tokens=20000,
)
x = torch.randint(0, 20000, (1, 4096))
out = model(x)
print(out.shape)
License
MIT
Metadata
Release files for geidiprime 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 | |
|---|---|---|---|
| geidiprime-0.0.1.tar.gz | 3.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| geidiprime-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.7 kB
Release files / geidiprime-0.0.1.tar.gz
| Download URL | geidiprime-0.0.1.tar.gz |
|---|---|
| Size | 3.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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poetry/1.3.2 CPython/3.11.0 Darwin/22.4.0
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Release files / geidiprime-0.0.1-py3-none-any.whl
| Download URL | geidiprime-0.0.1-py3-none-any.whl |
|---|---|
| Size | 3.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
poetry/1.3.2 CPython/3.11.0 Darwin/22.4.0
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