feat: Add Gemma3-cpp integration scaffold with automated setup and flexible build system#70
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- Create setup_gemma.sh script for automated gemma.cpp download and build - Update CMakeLists.txt to support flexible gemma.cpp paths (third_party, env var, legacy) - Add comprehensive GEMMA_INTEGRATION.md guide - Create worker/README.md with quick start instructions - Update build.sh to gracefully handle missing gemma.cpp - Add proper .gitignore entries for third_party and build artifacts - Update main README with Gemma3 setup references - Document changes in CHANGELOG Co-authored-by: RLuf <74881309+RLuf@users.noreply.github.com>
- Update CMakeLists.txt to link with gemma_stubs when no native Gemma - Verified build succeeds both with and without gemma.cpp - Worker can now build in stub mode for development/testing Co-authored-by: RLuf <74881309+RLuf@users.noreply.github.com>
- Create GEMMA_QUICKSTART.md for quick reference - Update README.md with Gemma3 integration section - Add links to integration guides in troubleshooting - Update table of contents with Gemma3 entry Co-authored-by: RLuf <74881309+RLuf@users.noreply.github.com>
- Document all changes made for Gemma3 integration - Provide testing results and usage examples - List all deliverables and improvements - Include next steps for users Co-authored-by: RLuf <74881309+RLuf@users.noreply.github.com>
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feat: Add Gemma3-cpp integration scaffold with automated setup and flexible build system
Oct 8, 2025
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Overview
Resolves #62 by implementing a complete project scaffold for Google Gemma3.cpp integration with FazAI, enabling native local AI inference with flexible setup options and graceful degradation.
Problem
The FazAI worker previously relied on hardcoded, user-specific paths (
/home/rluft/gemma.cpp) for Gemma integration, making it difficult for other developers to:Additionally, builds would fail entirely if gemma.cpp was unavailable, with no fallback mechanism.
Solution
This PR introduces a comprehensive integration scaffold with three key components:
1. Automated Setup Script (
worker/setup_gemma.sh)A one-command solution that:
libgemma.aUsage:
cd worker ./setup_gemma.sh2. Flexible Build System
Updated
CMakeLists.txtto support multiple gemma.cpp locations with automatic detection:third_party/gemma.cpp/(preferred, cloned by setup script)GEMMA_CPP_ROOTlib/libgemma.a/home/rluft/gemma.cpp(backward compatibility)The build system now:
3. Comprehensive Documentation
Three-tier documentation approach:
Quick Start (
GEMMA_QUICKSTART.md)Complete Guide (
worker/GEMMA_INTEGRATION.md)Worker Documentation (
worker/README.md)Key Features
✅ Zero Configuration for New Users - Single script handles entire setup
✅ Multiple Build Modes - Native, pre-built library, or stub fallback
✅ Graceful Degradation - Worker builds successfully even without gemma.cpp
✅ Clear Feedback - Informative messages guide users through setup
✅ Backward Compatible - Existing workflows continue to work
✅ Future-Proof - Ready for Gemma 2.x and 3.x models
Build Modes
Native Gemma (Recommended)
Pre-built Library
cp /path/to/libgemma.a worker/lib/ cd worker ./build.shStub Mode (Development)
Testing Results
All tests passed successfully:
Example build output without gemma.cpp:
Changes
New Files
worker/setup_gemma.sh- Automated setup script (211 lines)worker/GEMMA_INTEGRATION.md- Complete integration guide (327 lines)worker/README.md- Worker documentation (222 lines)worker/third_party/README.md- Third-party dependencies guide (46 lines)GEMMA_QUICKSTART.md- Quick reference guide (132 lines).github/ISSUE_62_RESOLUTION.md- Implementation summary (179 lines)Updated Files
worker/CMakeLists.txt- Flexible path detection and stub fallback (+84 lines)worker/build.sh- Enhanced checks and user guidance (+50 lines).gitignore- Exclude gemma.cpp source and build artifactsREADME.md- Add Gemma3 integration sectionCHANGELOG.md- Document changesStatistics
Migration Guide
For existing users, no changes required - the system maintains backward compatibility. To adopt the new setup:
rm -rf /home/rluft/gemma.cppcd worker && ./setup_gemma.sh./build.shModels can be downloaded from Kaggle:
gemma-2b-it- 2B parameters, instruction-tuned (4GB RAM)gemma-7b-it- 7B parameters, instruction-tuned (14GB RAM)gemma3-1b-it- Latest 1B model (2GB RAM)Documentation
Related
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