onnx-community/Llama-3.2-3B-Instruct-ONNX pass
claims base: meta-llama/Llama-3.2-3B-Instruct · chat template: present · view on Hugging Face ↗
Scan coverage
Ingot runs three batteries against a model. What each one checks →
| Battery | Looks at | Status |
|---|---|---|
| Static battery | Metadata & packaging | complete 2026-08-21 |
| Weights battery | Weights forensics — no GPU, no download | n/arepo ships no scannable weights (no safetensors and no pickle checkpoints — GGUF/CoreML/other formats) |
| Behavioral battery | Live-inference differentials | not run |
Findings
Scanned 2026-08-21 · published from a community scan.
No findings — the batteries that have run came back clean.
Remediation guidance addresses the documented findings only. It is evidence-driven repair, not a safety certification of the model.
Fingerprint
The durable profile of this model: measured weights-and-metadata facts, rebuilt on every scan and battery run. Updated 2026-08-21.
| architecture | llama · 28 layers · 3072-dim |
| vocabulary | 128,256 tokens |
| license | llama3.2 |
| serialization | no safetensors |
| chat template | present · sha256:5816fce10444e03c |
| claimed lineage | meta-llama/Llama-3.2-3B-Instruct |
| lineage verified | unverified — weights battery pending |
Full measured fingerprint
| architectures | LlamaForCausalLM |
| library | transformers.js |
| pipeline | text-generation |
| repo files | 38 |
| revision | cab364e7d0e1 |
| HF snapshot | 616 downloads · 17 likes · updated 2025-11-29 · captured 2026-08-21 |
| weights battery | token-embedding scan n/a — repo ships no scannable weights (no safetensors and no pickle checkpoints — GGUF/CoreML/other formats) |
Battery runs
The run trace behind the findings above: every deep-battery job for this model, with what each run measured or why it failed. Findings are only as good as the runs that produced them.
| battery | status | queued | duration | attempts |
|---|---|---|---|---|
| weights | complete | 2026-08-21 05:14 | 0s | 1 |
weights run 2026-08-21 — measurements
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/onnx-community/Llama-3.2-3B-Instruct-ONNX)