LLMRIG v0.9

Local AI.
Without guesswork.

LLMRig turns machine, model, artifact and runtime evidence into an explicit plan — then verifies the result with real inference.
read-only planning explicit approval privacy-safe evidence
01Plan
02Approve
03Apply
04Verify
05Remember
EXAMPLE AUTOPILOT RUN
$ llmrig run mlx-community/Qwen3-0.6B-4bit

Machine   Apple M4 Max · 48 GiB
Setup     mlx-lm · MLX
Policy    unique minimal-change path

acquire_artifact   completed
load_model         completed
verify             completed
MEASURED VERIFICATION
560.23GENERATION TOK/S
1687.91PROMPT TOK/S
0.263 sTOTAL LATENCY
Real v0.9 verification evidence from an Apple M4 Max using mlx-community/Qwen3-0.6B-4bit, MLX-LM, 4-bit quantization and a 4096-token context. These numbers describe this measured configuration only — not model quality or universal performance.
WHAT THIS SPACE DOES — AND DOES NOT DO

This is a static explainer backed by published Benchmark Passport evidence. It does not inspect your laptop, start runtimes, download models, or pretend a cloud demo can know your local machine. Run LLMRig locally for actual discovery, planning, execution and verification.

GitHub PyPI Benchmark Passports