✨ ENTERPRISE GA
TezzLLM Tiny v2.0.0
May 2026Release Notes & Security Alignment
- TPSLAll binaries licensed under the TezzCorp Private Source License. Private source code protected.
- STABLESwiGLU & RMSNorm math optimizations created by Rohit Pathak.
- FASTDouble-precision float64 vectorized engine running with zero libraries.
- SECURERuns completely offline within corporate intranets. No external APIs or metrics sent.
- LOCALFederated local parallel training orchestration script (`build_v2.ps1`).
⚡ Quick Local Deployment
1
Configure Paths & Environments
Extract the pre-compiled zip package. You can configure execution parameters, seed paths, and threads inside the batch scripts or powershell runner.
# Configured parameters in commands:
.\tezzllm_v2_train.exe --help # View available local variables
.\tezzllm_v2_train.exe --help # View available local variables
2
Tokenize Training Datasets
Place plain text corpus files into `tezzllm_weights/` and run the token execution binary.
.\tezzllm_data.exe
3
Execute Parallel Multi-Core Training
Run the training orchestrator script to utilize all available CPU cores securely.
.\build_v2.ps1
4
Start Local Chat CLI
Run the inference engine using the merged weights output.
.\tezzllm_v2_engine.exe
Need enterprise support? Review the EULA and Documentation or contact support@tezzcorp.com.