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Duplicate from assemsabry/cloud-pre
Browse filesCo-authored-by: Assem Sabry <assemsabry@users.noreply.huggingface.co>
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- README.md +21 -0
- model_weights/cloud_pre_weights.ckpt +3 -0
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README.md
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---
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tags:
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- time-series-forecasting
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- cloud-computing
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- timesfm
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- resource-prediction
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---
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# 🌩️ Cloud-Pre (500M)
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**Cloud-Pre** is a specialized time-series foundation model designed for predicting cloud environment resource usage (CPU, RAM, Network).
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It is fine-tuned based on Google's highly advanced `google/timesfm-2.0-500m-pytorch`.
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## Model Details
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- **Architecture:** Decoder-Only Transformer (TimesFM 2.0 Base)
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- **Parameters:** 500 Million
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- **Fine-tuning Objective:** Cloud CPU/Resource peak and anomaly forecasting to aid with Predictive Auto-scaling.
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- **Developer:** Assem Sabry
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## How to find the training code?
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The complete open-source training pipeline and data engineering scripts can be found on my GitHub Repository.
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model_weights/cloud_pre_weights.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:41e492841a87aa13750f5c245acb47688e14ab873ebdaedceefe52236c177b99
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size 1483712320
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