sarvamai/sarvam-translate warn
Its license differs from its base model's; the chat template was dropped from its base model, which changes behavior.
Could not load this model from the Hugging Face API (private, gated, or nonexistent). Findings below are from our archive.
Scan coverageStatic battery2026-08-21Weights battery2026-08-21Behavioral batterynot rundetails
| Battery | Looks at | Status |
|---|---|---|
| Static battery | Metadata & packaging | complete 2026-08-21 |
| Weights battery | Weights forensics — no GPU, no download | complete 2026-08-21262,208-token embedding scanned · 0 undertrained · lineage consistent |
| Behavioral battery | Live-inference differentials | not run |
Ingot runs three batteries against a model. What each one checks →
Findings
Scanned 2026-08-21 · published from a community scan.
medium License differs from claimed parent (gpl-3.0 vs gemma)
This model declares gpl-3.0 while its claimed base google/gemma-3-4b-it declares gemma. Verify the re-license is permitted before commercial use.
How to fix
Verify the re-license is actually permitted before relying on it.
- Read the parent's license for derivative-work and re-licensing terms — many open-weight licenses (e.g. Llama-family) do not permit arbitrary re-licensing.
- If the re-license is not permitted, the parent's terms govern your use regardless of what this repo declares.
medium Chat template dropped vs parent
google/gemma-3-4b-it ships a chat template; this repo does not. Serving stacks will silently fall back to a generic template, changing behavior. (In our 296-model census, 78% of pure quantization re-releases changed or dropped the template.)
How to fixingot patch
Restore the parent's chat template in `tokenizer_config.json` — a pure metadata fix.
- Run `ingot patch <owner/model>` — the patch manifest carries the parent's template and applies it to a local copy's `tokenizer_config.json`.
- Or fix by hand: copy the `chat_template` value from the parent repo's `tokenizer_config.json` into this model's, and pin your serving stack to that file.
- If the drift was intentional (the author retrained on a new template), confirm that in the model card before "fixing" it — restoring the parent template on retrained weights changes behavior too.
info Embedding-norm glitch scan clean
No undertrained tokens found: every non-special token's embedding norm is above 0.3× the vocabulary median (0.943). The glitch-token data-corruption class has no candidate surface in this model.
info Weights consistent with claimed parent google/gemma-3-4b-it
Mean cosine similarity of 64 sampled token-embedding rows against google/gemma-3-4b-it is 0.940 — 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.
Fix it
Some findings are metadata-level and patchable — apply the fixes to your local copy (your weights never leave your machine):
npx @ingotai/scan patch sarvamai/sarvam-translate
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 | gemma3 |
| parameters | 4300.1M |
| vocabulary | 262,208 tokens |
| license | gpl-3.0 |
| serialization | safetensors |
| chat template | none |
| claimed lineage | google/gemma-3-4b-it |
| lineage verified | consistent vs google/gemma-3-4b-it — embedding-row cosine 0.940 |
| glitch-token surface | clean no undertrained tokens |
Full measured fingerprint
| architectures | Gemma3ForConditionalGeneration |
| library | transformers |
| pipeline | translation |
| repo files | 16 |
| revision | e0a7a6bc2166 |
| HF snapshot | 36.1k downloads · 154 likes · updated 2026-07-13 · captured 2026-08-21 |
| embedding tensor | language_model.model.embed_tokens.weight · BF16 · 262,208×2560 |
| embedding norms | median 0.9425 · mean 0.9519 |
| lineage check | consistent — cosine 0.9403 over 64 sampled rows vs google/gemma-3-4b-it |
Battery runs (1)the run trace behind the findings — what each job measured
| battery | status | queued | duration | attempts |
|---|---|---|---|---|
| weights | complete | 2026-08-21 05:10 | 74s | 1 |
weights run 2026-08-21 — measurements
| probes run | glitch-norm-scan, lineage-norm-correlation |
| embedding tensor | language_model.model.embed_tokens.weight · BF16 · 262,208×2560 |
| glitch surface | 0 undertrained, 0 plain-ASCII |
| lineage check | consistent — cosine 0.9403 over 64 rows vs google/gemma-3-4b-it |
Verdict badge
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[](https://ingot.tools/models/sarvamai/sarvam-translate)