Bonsai Demo explained: local inference with a fork-specific model
Build a reproducible Bonsai local-inference report
Capture the exact artifacts and one correctness failure before claiming a useful deployment.
What you will learn
- Freeze the environment
- Run a small fixed fixture
- Publish limits with the result
Before you start
- A target machine with measured memory and disk
- Permission to inspect downloaded model and binary files
Capture the exact artifacts and one correctness failure before claiming a useful deployment.
Key takeaways
- Exact artifact identity makes results reproducible.
- Correctness failures matter before speed.
- Unknown measures remain unknown.
Freeze the environment
Record demo commit, fork release, model filename and hash, backend, driver, OS and device. Keep the setup command and effective environment variables without secrets.
Start with the text CLI or loopback server. Add vision, UI or tools in later runs so each added dependency has its own observed effect.
Run a small fixed fixture
Ask the same prompts in the same order, save raw outputs and note which answers meet a prewritten criterion. Include one case designed to expose incoherent output from an incompatible binary-model pair.
Record cold start, memory peak, prompt time and generation time when measurable. A missing metric is marked not-run, never copied from a community submission.
Publish limits with the result
Keep failed startup logs, truncated answers and unsupported feature attempts beside successes. A report that omits them overstates readiness.
The report format below is an EasyAI reader exercise; the demo does not promise to produce it automatically. This series did not run the model or write a benchmark result.
Decision guide
| Criterion | Option A | Option B |
|---|---|---|
| Best when | You need predictable behavior and easy auditing | You need adaptive optimization and have reliable telemetry |
| Main risk | May leave performance on the table | Can become difficult to explain or debug |
Implementation steps
- 1
Record exact demo, binary and model revisions.
- 2
Run fixed prompts and keep failures.
- 3
Report measurements and untested features separately.
Copy-ready example
{"demo_commit":"69c3a8beeab80283bfd45cb7b7a6b927075c29fd","model_file":"record-exact-name","binary_release":"record","backend":"record","correctness":"not-run","memory_peak":null}Frequently asked questions
Does the demo create this report automatically?
No. It is a suggested evidence record.
What if the server returns 200 but answers are corrupt?
Treat compatibility as failed and check the binary, format and required transforms.
Sources
- Bonsai Demo / README.mdSource checked 2026-09-29
- Bonsai Demo / MODEL-FORMATS.mdSource checked 2026-09-29
- Bonsai Demo / community-benchmarks/bonsai2/README.mdSource checked 2026-09-29