RedHatAI/Llama-3.2-1B-Instruct-FP8-dynamic pass
claims base: meta-llama/Llama-3.2-1B-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 2026-08-22 |
| Weights battery | Weights forensics — no GPU, no download | complete 2026-08-22128,256-token embedding scanned · 0 undertrained · lineage consistent |
| Behavioral battery | Live-inference differentials | not run |
Findings
Scanned 2026-08-22 · published from a community scan.
info Embedding-norm glitch scan clean
No undertrained tokens found: every non-special token's embedding norm is above 0.3× the vocabulary median (0.933). The glitch-token data-corruption class has no candidate surface in this model.
info Weights consistent with claimed parent meta-llama/Llama-3.2-1B-Instruct
Mean cosine similarity of 64 sampled token-embedding rows against meta-llama/Llama-3.2-1B-Instruct is 1.000 — the weights plausibly descend from the declared base (relation: unspecified).
How to fix
Fix or verify the `base_model` declaration so lineage checks can run.
- If you own the repo: correct the `base_model` field in the model card metadata to the real, public parent.
- If you don't: identify the true parent (config architecture + weight shapes narrow it fast) and re-scan with that lineage in mind.
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 2026-08-22.
| architecture | llama · 16 layers · 2048-dim |
| parameters | 1498.9M |
| vocabulary | 128,256 tokens |
| license | llama3.2 |
| serialization | safetensors |
| chat template | present · sha256:5816fce10444e03c |
| claimed lineage | meta-llama/Llama-3.2-1B-Instruct |
| lineage verified | consistent vs meta-llama/Llama-3.2-1B-Instruct — embedding-row cosine 1.000 |
| glitch-token surface | clean no undertrained tokens |
Full measured fingerprint
| architectures | LlamaForCausalLM |
| pipeline | text-generation |
| repo files | 9 |
| revision | e23d444f8d7d |
| HF snapshot | 761.9k downloads · 4 likes · updated 2024-10-09 · captured 2026-08-21 |
| embedding tensor | model.embed_tokens.weight · BF16 · 128,256×2048 |
| embedding norms | median 0.9333 · mean 0.9298 |
| lineage check | consistent — cosine 1 over 64 sampled rows vs meta-llama/Llama-3.2-1B-Instruct |
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 07:43 | 32s | 1 |
weights run 2026-08-21 — measurements
| probes run | glitch-norm-scan, lineage-norm-correlation |
| embedding tensor | model.embed_tokens.weight · BF16 · 128,256×2048 |
| glitch surface | 0 undertrained, 0 plain-ASCII |
| lineage check | consistent — cosine 1 over 64 rows vs meta-llama/Llama-3.2-1B-Instruct |
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/RedHatAI/Llama-3.2-1B-Instruct-FP8-dynamic)