llaminate
This project is a showcase for a neural tokenization technique. Since the inputs are compressed and have a smaller shape, the LLM is downsized accordingly.
For example, llama3-8b is brought down to 34 million parameters instead of 8 billion.
Installation
Usage
Resources
Models
Notebooks
Final model:
- pretraining: file / Google Colab
- fine-tuning: file / Google Colab
TODO
See TODO.
Credits
This project winks at llama3 from Meta, but doesn't actually its weights nor code.
License
Licensed under the aGPLv3.
1 maintainer
Metadata
1 maintainer
Release files for llaminate 0.7.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| llaminate-0.7.4.tar.gz | 5.2 kB | Without provenance | Details for llaminate-0.7.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| llaminate-0.7.4-py3-none-any.whl | Python 3 | none | any | Details for llaminate-0.7.4-py3-none-any.whl |
Total release size: 12.7 kB
Release files / llaminate-0.7.4.tar.gz
| Download URL | llaminate-0.7.4.tar.gz |
|---|---|
| Size | 5.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0a14d55e95e85297e47529e63fc315d4a3f82657528027e284a0e5968bc3e430
|
|
BLAKE2b-256 checksum How to use checksums |
a2c78c9bec4dc8f18c9f195de9c33b8c3097cfd2d281a21426297a8b6b63594f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.0.1 CPython/3.13.3 Linux/6.14.6-arch1-1
|
Release files / llaminate-0.7.4-py3-none-any.whl
| Download URL | llaminate-0.7.4-py3-none-any.whl |
|---|---|
| Size | 7.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a5b8c456f9b1b24bd5d0f255e78ef29843c1167ea41f1f66bc52058216902bb0
|
|
BLAKE2b-256 checksum How to use checksums |
31079abbd0535bb3e7745f1e3424659f480eb5e6577ba6f306217bd693db7a4b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.0.1 CPython/3.13.3 Linux/6.14.6-arch1-1
|
Security for llaminate 0.7.4
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.
