Qwen/Qwen3-32B warn
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 2026-08-22151,936-token embedding scanned · 3195 undertrained |
| Behavioral battery | Live-inference differentials | not run |
Findings
Scanned 2026-08-22 · published from a community scan.
medium Undertrained (glitch) token surface in vocabulary
Embedding-norm scan flagged 3195 undertrained tokens (norm < 0.3× the vocabulary median of 1.336), including 113 plain-ASCII strings that can appear in ordinary input as identifiers — e.g. "$PostalCodesNL", "ForCanBeConvertedToF", "PostalCodesNL", "ForCanBeConverted", "useRalative", "useRal", "thuisontvangst", "webElementX". In models where this class was tested behaviorally, such tokens silently rewrote user input into confident, schema-valid, wrong output. These are candidates from the weights alone; behavioral confirmation requires the behavioral battery.
How to fixruntime guardweight-level
Keep the affected token strings out of the model's input — the scan-derived runtime guard carries this model's exact blocklist.
- Fetch this model's guard artifact (`/api/v1/guard/<owner>/<model>`): the confirmed corrupting tokens and the low-norm candidate list, derived from the published scan.
- Screen inbound text with it (the `@ingotai/guard` package is a reference implementation) and route flagged records to a different model or human review — verbatim-copy tasks on flagged strings are the failure mode.
- The underlying cause is undertrained embeddings in the weights; a true fix is weight-level (continued pretraining on the affected tokens) — that is not a patch, it's a training job.
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 | qwen3 · 64 layers · 5120-dim |
| parameters | 32762.1M |
| vocabulary | 151,936 tokens |
| license | apache-2.0 |
| serialization | safetensors |
| chat template | present · sha256:a55ee1b1660128b7 |
| glitch-token surface | 3,195 undertrained candidates, 113 plain-ASCII |
Full measured fingerprint
| architectures | Qwen3ForCausalLM |
| library | transformers |
| pipeline | text-generation |
| repo files | 27 |
| revision | 9216db5781bf |
| HF snapshot | 3.6M downloads · 736 likes · updated 2025-07-26 · captured 2026-08-21 |
| embedding tensor | model.embed_tokens.weight · BF16 · 151,936×5120 |
| embedding norms | median 1.3365 · mean 1.2745 |
| lineage check | no claimed base model |
| glitch-token samples | "$PostalCodesNL", "ForCanBeConvertedToF", "PostalCodesNL", "ForCanBeConverted", "useRalative", "useRal", "thuisontvangst", "webElementX", "sexkontakte", "wannonce", "swingerclub", "sextreffen" |
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 |
|---|---|---|---|---|
| gpu | complete | 2026-08-22 00:41 | 5m | 1 |
| gpu | failed | 2026-08-22 00:23 | 2m | 1 |
| gpu | failed | 2026-08-21 21:32 | 3m | 1 |
| weights | complete | 2026-08-21 07:42 | 32s | 1 |
gpu run 2026-08-22 — measurements
| probes run | glitch |
gpu run 2026-08-22 — error detail
Traceback (most recent call last): | raise ValueError( | ValueError: To serve at least one request with the models's max seq len (8192), (2.00 GiB KV cache is needed, which is larger than the available KV cache memory (0.49 GiB). Based on the available memory, the estimated maximum model length is 1984. Try increasing `gpu_memory_utilization` or decreasing `max_model_len` when initializing the engine. | Traceback (most recent call last): | raise RuntimeError("Engine core initialization f
gpu run 2026-08-21 — error detail
Traceback (most recent call last): | OSError: I/O error: IO Error: No space left on device (os error 28)
weights run 2026-08-21 — measurements
| probes run | glitch-norm-scan, lineage-norm-correlation |
| embedding tensor | model.embed_tokens.weight · BF16 · 151,936×5120 |
| glitch surface | 3,195 undertrained, 113 plain-ASCII |
| lineage check | not checked (no claimed base model) |
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/Qwen/Qwen3-32B)