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Open-weight model

Riya123

by Sankar shiva123782/Riya123

Riya123 is an open-weight model from Sankar. Its published files total 31.7 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—
Weights20.2 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/Riya123
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
60ac41998b8b701adf1302e2d50473f8ac8cb931
First published
2026-10-08
Last updated
2026-10-08

Files and Weights

7 files, 31.7 MB in total. The weights are 1 file totalling 20.2 MB in safetensors.

Weights1 file · 20.2 MB
Configuration1 file · 1.1 KB
Tokenizer2 files · 11.4 MB
Documentation1 file · 5.2 KB
Other1 file · 4.2 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
adapter_model.safetensorsWeights20.2 MB 0de7ec61303b
adapter_config.jsonConfiguration1.1 KB —
README.mdDocumentation5.2 KB —
chat_template.jinjaOther4.2 KB —
.gitattributesRepository1.6 KB —
tokenizer.jsonTokenizer11.4 MB a6b765376228
tokenizer_config.jsonTokenizer694 B —

License and Download

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

Released by Sankar through its official repository on Hugging Face.

Built From

Memory Requirements

PrecisionWeights in memory
As published20.2 MB

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