Downloads · 30 days
17
100% of all-time downloads
Zhitong
ctzhang/Zhitong
Zhitong is a machine learning model from ctzhang. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for chronos-forecasting.
LoRA fine-tuned amazon/chronos-2 on cell-level 4G/5G multi-service traffic data (8 metrics per cell per network) from the Shandong University WT (无线/网通) dataset.
All-time downloads
17
Public
Parameters
119M
478 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors478 MB · 100%
At a glance
- Library
- chronos-forecasting
- Model type
- t5
- Access
- Public
- Created
- Sep 23, 2026
- Updated
- Sep 23, 2026
- SHA
- b424fe11
Base models
Model card
From the Hugging Face model README
Zhitong_SDU_WT_LLM
LoRA fine-tuned amazon/chronos-2 on cell-level 4G/5G multi-service traffic data (8 metrics per cell per network) from the Shandong University WT (无线/网通) dataset.
Usage
from chronos import Chronos2Pipeline
pipeline = Chronos2Pipeline.from_pretrained("Zhitong_SDU_WT_LLM",
device_map="cuda")
forecast = pipeline.predict(context, prediction_length=24)
Training
- base model:
amazon/chronos-2 - finetune mode: LoRA (r=16, " alpha=32)
- context length: 336
- prediction length: 24
- training series: 800
- num_steps: 30, batch_size: 8, lr: 1e-05
- Library
- chronos-forecasting
- Type
- t5
- Created
- Sep 23, 2026
- Updated
- Sep 23, 2026