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Open-weight model

Riyaai24

by Sankar shiva123782/Riyaai24

Riyaai24 is an open-weight model from Sankar. Its published files total 29.1 MB.

This is the model card of a transformers model that has been pushed on the Hub. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model.

Parameters—
Context—
Weights17.6 MB
License—
AccessOpen weights
Monthly Downloads—

Model Card

This is the model card of a transformers model that has been pushed on the Hub. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

Excerpt from the card by Sankar.

Identity and Version

Repository
shiva123782/Riyaai24
Publisher
Sankar
Task
Not stated by the source
Modality
Other
Library
transformers
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
39a4db89f244cb4d4a4c3db488e983868c8a83c8
First published
2026-10-08
Last updated
2026-10-08

Files and Weights

7 files, 29.1 MB in total. The weights are 1 file totalling 17.6 MB in safetensors.

Weights1 file · 17.6 MB
Configuration1 file · 1.2 KB
Tokenizer2 files · 11.4 MB
Documentation1 file · 5.2 KB
Other1 file · 2.5 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
adapter_model.safetensorsWeights17.6 MB b7f9b65833e9
adapter_config.jsonConfiguration1.2 KB —
README.mdDocumentation5.2 KB —
chat_template.jinjaOther2.5 KB —
.gitattributesRepository1.6 KB —
tokenizer.jsonTokenizer11.4 MB 7ada60cf90bd
tokenizer_config.jsonTokenizer694 B —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
17.6 MB
Download from Sankar

Released by Sankar through its official repository on Hugging Face.

Built From

Memory Requirements

PrecisionWeights in memory
As published17.6 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.