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Open-weight model

Qwen3-8B_SFT_lora_ifhreadiness

by Xin Wang xw17/Qwen3-8B_SFT_lora_ifhreadiness

Qwen3-8B_SFT_lora_ifhreadiness is an open-weight model from Xin Wang. Its published files total 98.8 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—
Weights87.4 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 Xin Wang.

Identity and Version

Repository
xw17/Qwen3-8B_SFT_lora_ifhreadiness
Publisher
Xin Wang
Task
Not stated by the source
Modality
Other
Library
transformers
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
8c5227e312e801fd46ed4376165b44742c1edf74
First published
2026-10-01
Last updated
2026-10-01

Files and Weights

7 files, 98.8 MB in total. The weights are 1 file totalling 87.4 MB in safetensors.

Weights1 file · 87.4 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.safetensorsWeights87.4 MB f7763cc17b03
adapter_config.jsonConfiguration1.1 KB —
README.mdDocumentation5.2 KB —
chat_template.jinjaOther4.2 KB —
.gitattributesRepository1.6 KB —
tokenizer.jsonTokenizer11.4 MB be75606093db
tokenizer_config.jsonTokenizer664 B —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
87.4 MB
Download from Xin Wang

Released by Xin Wang through its official repository on Hugging Face.

Built From

Memory Requirements

PrecisionWeights in memory
As published87.4 MB

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