Submit Local Trained Weights

Contribute mathematical model weights trained offline in your secure corporate environment.

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Offline Learning & Privacy Preservation

TezzLLM relies on offline federated learning. You compile the private datasets and run parallel multi-threaded training inside your secure intranet environment. Only the calculated weight modifications (the .tezw float64 matrices) are uploaded. The raw corpus never leaves your boundary, conforming strictly to the TPSL EULA.

Execution Flow

Federated Update Process

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1. Prepare Data

Format local corpora and run tezzllm_data.exe inside your clean sandbox.

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2. Local Train

Run .\build_v2.ps1 to execute training parallelized across CPU cores.

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3. Submit Weights

Upload the resulting tezzllm_v2_merged.tezw file securely using this portal.

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4. Base Merge

TezzCorp aggregates submitted weight matrices to build the next iteration.

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Upload Federated Weights File

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Drop your .tezw file here

or click to browse local files

tezzllm_weights/tezzllm_v2_merged.tezw
0 Contributions Received
Weekly Ensemble Merge Cycle
TPSL v1.0 Secure License