lean-llm-starter / README.md
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# lean-llm-starter
A deterministic Lean 4 verification harness that treats the LLM as an untrusted proposal engine and Lean 4 as the trusted kernel.
## Architecture
```text
operator intent
-> Prolog gate
-> Granite 4.1 / Llemma inference
-> schema validation
-> Lean 4 parse / verify
-> WORM-ready audit artifacts
```
Trust split:
- `inference/` proposes proof artifacts
- `logic/` blocks unauthorized or malformed runs
- `lean4/` type-checks and verifies
- `infra/verification-loop/` pins deterministic execution
- `eval/` runs reproducible local benchmarks
## Repo Layout
```text
lean-llm-starter/
├── .github/workflows/ci.yml
├── .gitattributes
├── .gitignore
├── LICENSE
├── Makefile
├── README.md
├── docker-compose.yml
├── docs/
│ ├── HUGGINGFACE_PUBLISHING.md
│ └── REPO_MAP.md
├── eval/
│ ├── requirements.txt
│ └── run_minif2f.py
├── fixtures/
│ └── sample_input.jsonl
├── inference/
│ ├── Dockerfile
│ ├── requirements.txt
│ ├── prompt.txt
│ └── server.py
├── infra/
│ └── verification-loop/
│ ├── .env.example
│ └── docker-compose.yml
├── lean4/
│ ├── lakefile.toml
│ ├── lean-toolchain
│ ├── MiniF2F.lean
│ ├── VerifyMain.lean
│ └── src/
│ └── SovereignCorpus/
│ ├── Bridge/
│ │ ├── Granite4Parser.lean
│ │ └── Granite4Schema.lean
│ ├── Core.lean
│ └── Tactics/
│ └── PlasmaGate.lean
├── logic/
│ ├── sovereign_verification.pl
│ └── verification_loop.pl
└── hf/
└── README.md
```
## What This Starter Includes
- Lean 4 harness skeleton
- Granite 4.1 JSON interchange schema
- Lean-side parser scaffold
- Prolog gate and retry loop scaffold
- vLLM / docker compose verification loop
- MiniF2F-style eval harness
- GitHub Actions CI scaffold
- Hugging Face publishing docs and model card template
- sample JSONL parse fixture
## What It Does Not Pretend Yet
- not fully air-gapped out of the box
- not fully air-gapped out of the box
- not a finished proof search system
- not yet shipping weights
Current verified state:
- Lean 4 project builds successfully on this machine with `C:\Users\jessi\.elan\bin\lake.exe`
- Python eval and inference files compile
- parse-mode fixture is present
This is a scaffold you can harden into:
- a GitHub repo
- a Hugging Face model or Space companion repo
- a deterministic local verification loop
## Quick Start
If `lake` is not on your PATH on Windows, use:
```powershell
C:\Users\jessi\.elan\bin\lake.exe
```
### 1. Lean side
```bash
cd lean4
C:\Users\jessi\.elan\bin\lake.exe update
C:\Users\jessi\.elan\bin\lake.exe build
```
### 2. Inference side
```bash
cd inference
docker build -t lean-llm-inference .
docker run -d -p 8080:8080 --name lean-llm-inference lean-llm-inference
```
### 3. Eval side
```bash
cd eval
pip install -r requirements.txt
python run_minif2f.py
```
### 4. Full verification loop
```bash
docker compose --env-file infra/verification-loop/.env.example up -d granite-verifier
swipl -g "verify_with_retries('theorem demo : True := by trivial', 'ED25519_SIG', 3, Result), writeln(Result), halt" logic/verification_loop.pl
```
### 5. Shortcut targets
```bash
make lean-build
make infra-up
make eval
```
### 6. Parse smoke test
```bash
cd lean4
C:\Users\jessi\.elan\bin\lake.exe exe verify -- --parse ../fixtures/sample_input.jsonl
```
## Hugging Face Readiness
This repo is prepared for later Hugging Face publication with:
- `.gitattributes` for LFS-managed weight files
- `hf/README.md` model card template
- `docs/HUGGINGFACE_PUBLISHING.md` publish checklist
Recommended publish modes:
1. code-only harness repo
2. model repo for GGUF / safetensors
3. Space repo for interactive verify loop UI