Open-weight model

qwen-text-to-sql-2026-09-26_18.29.52-Qwen2.5-14B-Instruct-finetune-QLORA

by Viktor Kovtun vkovtun/qwen-text-to-sql-2026-09-26_18.29.52-Qwen2.5-14B-Instruct-finetune-QLORA

qwen-text-to-sql-2026-09-26_18.29.52-Qwen2.5-14B-Instruct-finetune-QLORA is an open-weight model from Viktor Kovtun. Its published files total 562.0 MB.

This model is a fine-tuned version of Qwen/Qwen2.5-14B-Instruct. It has been trained using TRL. This model was trained with SFT.

Parameters—

Context—

Weights550.6 MB

License—

AccessOpen weights

Monthly Downloads—

Model Card

This model is a fine-tuned version of Qwen/Qwen2.5-14B-Instruct. It has been trained using TRL. This model was trained with SFT.

Excerpt from the card by Viktor Kovtun.

Identity and Version

Repository: vkovtun/qwen-text-to-sql-2026-09-26_18.29.52-Qwen2.5-14B-Instruct-finetune-QLORA
Publisher: Viktor Kovtun
Task: Not stated by the source
Modality: Other
Library: transformers
Parameters: Not stated by the source
Languages: trl, sft
Revision: 524e87e1946bbf17efa09c331402fcb9ceac1c4e
First published: 2026-09-26
Last updated: 2026-09-27

Files and Weights

8 files, 562.0 MB in total. The weights are 2 files totalling 550.6 MB in bin, safetensors.

Weights2 files · 550.6 MB

Configuration1 file · 1.2 KB

Tokenizer2 files · 11.4 MB

Documentation1 file · 1.8 KB

Other1 file · 2.5 KB

Repository1 file · 1.6 KB

Every file

File	Type	Size	SHA-256
adapter_model.safetensors	Weights	550.6 MB	e91a118f4942
training_args.bin	Weights	5.9 KB	e085f0796aa3
adapter_config.json	Configuration	1.2 KB	—
README.md	Documentation	1.8 KB	—
chat_template.jinja	Other	2.5 KB	—
.gitattributes	Repository	1.6 KB	—
tokenizer.json	Tokenizer	11.4 MB	3fd169731d2c
tokenizer_config.json	Tokenizer	694 B	—

License and Download

License: Not stated by the source
Access: Open weights, no gate
Download size: 550.6 MB

Download from Viktor Kovtun

Released by Viktor Kovtun through its official repository on Hugging Face.

Built From

Derived from Qwen/Qwen2.5-14B-Instruct

Memory Requirements

Precision	Weights in memory
As published	550.6 MB

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