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Open-weight model

Llama-3.1-8B-Instruct_SFT_lora_usc-had

by Xin Wang xw17/Llama-3.1-8B-Instruct_SFT_lora_usc-had

Llama-3.1-8B-Instruct_SFT_lora_usc-had is an open-weight model from Xin Wang. Its published files total 101.2 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—
Weights83.9 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/Llama-3.1-8B-Instruct_SFT_lora_usc-had
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
13bf1a865854933eb9f1bdbf9760b6952323ee39
First published
2026-10-01
Last updated
2026-10-01

Files and Weights

7 files, 101.2 MB in total. The weights are 1 file totalling 83.9 MB in safetensors.

Weights1 file · 83.9 MB
Configuration1 file · 1.2 KB
Tokenizer2 files · 17.2 MB
Documentation1 file · 5.2 KB
Other1 file · 4.6 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
adapter_model.safetensorsWeights83.9 MB bf94b8713cd1
adapter_config.jsonConfiguration1.2 KB —
README.mdDocumentation5.2 KB —
chat_template.jinjaOther4.6 KB —
.gitattributesRepository1.6 KB —
tokenizer.jsonTokenizer17.2 MB 6b9e4e7fb171
tokenizer_config.jsonTokenizer386 B —

License and Download

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

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

Built From

Memory Requirements

PrecisionWeights in memory
As published83.9 MB

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