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Open-weight model

Qwen3-8B-ALoRA-MTP-100k-skip-prefix-40k-dataset-loss_decay

by Marian Tietz hubnemo/Qwen3-8B-ALoRA-MTP-100k-skip-prefix-40k-dataset-loss_decay

Qwen3-8B-ALoRA-MTP-100k-skip-prefix-40k-dataset-loss_decay is an open-weight model from Marian Tietz. Its published files total 2.7 GB.

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—
Weights2.6 GB
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 Marian Tietz.

Identity and Version

Repository
hubnemo/Qwen3-8B-ALoRA-MTP-100k-skip-prefix-40k-dataset-loss_decay
Publisher
Marian Tietz
Task
Not stated by the source
Modality
Other
Library
transformers
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
00ecfc8decfcda6ff41545b8c0860f9c210ec158
First published
2026-09-21
Last updated
2026-09-22

Files and Weights

7 files, 2.7 GB in total. The weights are 2 files totalling 2.6 GB in safetensors.

Weights2 files · 2.6 GB
Configuration1 file · 1.3 KB
Tokenizer2 files · 11.4 MB
Documentation1 file · 5.2 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
adapter_model.safetensorsWeights2.5 GB 19e7836ed82a
checkpoint/sampler_model.safetensorsWeights100.7 MB e85424eb8c6c
adapter_config.jsonConfiguration1.3 KB —
README.mdDocumentation5.2 KB —
.gitattributesRepository1.6 KB —
checkpoint/tokenizer.jsonTokenizer11.4 MB 4ace5bd52827
checkpoint/tokenizer_config.jsonTokenizer503 B —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
2.6 GB
Download from Marian Tietz

Released by Marian Tietz through its official repository on Hugging Face.

Built From

Memory Requirements

PrecisionWeights in memory
As published2.6 GB

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