Game Analyzing Model Methods Attentively
Interactive LLM exploration for gameplay, model comparison, and reproducible benchmarking.
- Browser demo: https://simulatte.world
- Architecture map: docs/ARCHITECTURE.md
- Full docs index: docs/README.md
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
python gamma.py gameEngine-specific setup is in src/engines/README.md.
The root is limited to stable entrypoints, project metadata, and tool configuration.
| Path | Ownership |
|---|---|
src/ |
Gamma runtime, engines, game, benchmarks, and integrations |
projects/ |
Self-contained research and distillation work |
tools/ |
Operator-facing utilities and model analysis |
requirements/ |
Engine and hardware-specific dependency manifests |
docs/ |
Canonical architecture and usage documentation |
tests/ |
Automated test suites |
Keep generated reports under reports/, run output under its owning project, and
new project-specific utilities beside that project rather than at repository root.
python gamma.py [command]| Command | Purpose |
|---|---|
game |
Interactive gameplay and chat-style runs |
comparison |
Side-by-side model comparison |
mind-meld |
Multi-model collaboration and swapping |
benchmark |
Throughput/latency benchmarking |
codegen |
Code-generation benchmark workflows |
list |
List available models |
select |
Interactive model/engine selector |
help |
Command help |
python gamma.py help
python gamma.py help benchmark
python gamma.py help codegen
python gamma.py game --comparison --help
python gamma.py mind-meld --help- docs/README.md: documentation map and ownership
- docs/BENCHMARKING.md: speed, quality, codegen, and mind-meld benchmarking
- docs/HYBRID_DISTILLATION.md: reusable hybrid distillation method for coding, translation, and capability students
- docs/VERIFIER_GUIDED_LEARNING.md: prompt optimization, verifier-filtered data, RLVR, domain reward boundaries, and experiment states
- projects/distillation/shared/experiments/README.md: cross-repository experiment register contract
- docs/integration-guide.md: OpenAI/LangChain/API/MCP integrations
- src/mind_meld/README.md: Mind Meld usage, configs, and operational guardrails
- flux/README.md: Flux install, CLI, and reference
- tools/README.md: project tooling and feedback loop commands
- requirements/README.md: dependency profiles by engine and hardware
- projects/distillation/embedding/README.md: EmbeddingGemma distillation
- projects/distillation/translation/README.md: TranslateGemma distillation
- projects/distillation/wgsl/README.md: Doppler WGSL SFT, DPO, rollout, and GRPO optimizer backend
- src/functiongemma_training/README.md: FunctionGemma training path
MIT. See LICENSE.