Skip to main content

Multi-Modality

Griffin

install

$ pip install griffin-torch

usage

import torch
from griffin_torch.main import Griffin

# Forward pass
x = torch.randint(0, 100, (1, 10))

# Model
model = Griffin(
    dim=512,  # Dimension of the model
    num_tokens=100,  # Number of tokens in the input
    seq_len=10,  # Length of the input sequence
    depth=8,  # Number of transformer blocks
    mlp_mult=4,  # Multiplier for the hidden dimension in the MLPs
    dropout=0.1,  # Dropout rate
)

# Forward pass
y = model(x)

print(y)

License

MIT

Metadata

Release files for griffin-torch 0.0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for griffin-torch 0.0.3
File Size Uploaded Provenance Actions
griffin_torch-0.0.3.tar.gz 4.9 kB Without provenance Details for griffin_torch-0.0.3.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for griffin-torch 0.0.3
File Interpreter ABI Platform Actions
griffin_torch-0.0.3-py3-none-any.whl Python 3 none any Details for griffin_torch-0.0.3-py3-none-any.whl

Total release size: 9.8 kB

Release files / griffin_torch-0.0.3.tar.gz

Download URL griffin_torch-0.0.3.tar.gz
Size 4.9 kB
Tags Source
SHA-256 checksum
How to use checksums
61bf1baa51ca906aa0b2785bbdb3e466fae00e2787fd14a32ba182463df6c37d
BLAKE2b-256 checksum
How to use checksums
88e64c282c5d9bd2dab6e762a2fe10e21655bedaec7288d58ca6b8f0888ac52b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.3.2 CPython/3.11.0 Darwin/23.3.0

Release files / griffin_torch-0.0.3-py3-none-any.whl

Download URL griffin_torch-0.0.3-py3-none-any.whl
Size 4.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
dc9a42a5bae2b77ef661780a1ca0f5dbd1cde93a3cac668aad8f9dd5388e8d4a
BLAKE2b-256 checksum
How to use checksums
2b56843d2fb58540867cbccff543580d6fd8baa9c0259af015e3b770ecb6ebb8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.3.2 CPython/3.11.0 Darwin/23.3.0

Security for griffin-torch 0.0.3

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page