boda/RevUtil_Llama-3.1-8B-Instruct_score_only warn
Loading it runs custom code from the repo; no license declared — no usage rights by default.
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 batteryn/aBehavioral batterynot rundetails
| Battery | Looks at | Status |
|---|---|---|
| Static battery | Metadata & packaging | complete 2026-08-21 |
| Weights battery | Weights forensics — no GPU, no download | n/ano token-embedding tensor in the safetensors headers — not a text-token model (vision/audio/diffusion checkpoints have no vocabulary to scan) |
| 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 Repo ships executable Python (trust_remote_code)
The repository contains custom code files that run in-process when loaded with trust_remote_code=True. Pin the revision hash and review the code before loading.
How to fix
Review and pin the custom code; never float on `main` with trust_remote_code=True.
- Read every `.py` file in the repo before first load — this code runs in your process.
- Pin the revision: `from_pretrained(model_id, revision="<commit sha>", trust_remote_code=True)` so a later push can't swap the code under you.
- Prefer a version of the architecture already in `transformers` if one exists, which removes the remote-code requirement entirely.
medium No license declared
The model card declares no license. You have no usage rights by default — treat as all-rights-reserved until the owner clarifies.
How to fix
Get a license from the owner or pick a licensed alternative — this is a legal gap, not a technical one.
- With no declared license you have no usage rights by default; treat the weights as all-rights-reserved.
- Open an issue or discussion on the repo asking the owner to declare a license, or use the licensed upstream/parent model instead.
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.
| license | none declared |
| serialization | safetensors pickle custom code |
| chat template | present · sha256:e10ca381b1ccc5cf |
| claimed lineage | meta-llama/Llama-3.1-8B-Instruct |
| lineage verified | unverified — weights battery pending |
Full measured fingerprint
| library | peft |
| repo files | 24 — pickle: global_step140/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt, global_step140/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt, global_step140/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt, global_step140/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt, global_step140/zero_pp_rank_0_mp_rank_00_model_states.pt, global_step140/zero_pp_rank_1_mp_rank_00_model_states.pt, global_step140/zero_pp_rank_2_mp_rank_00_model_states.pt, global_step140/zero_pp_rank_3_mp_rank_00_model_states.pt, rng_state_0.pth, rng_state_1.pth |
| revision | aa009caf870e |
| HF snapshot | 4.4k downloads · 0 likes · updated 2025-08-31 · captured 2026-08-21 |
| weights battery | token-embedding scan n/a — no token-embedding tensor in the safetensors headers — not a text-token model (vision/audio/diffusion checkpoints have no vocabulary to scan) |
Battery runs (1)the run trace behind the findings — what each job measured
| battery | status | queued | duration | attempts |
|---|---|---|---|---|
| weights | complete | 2026-08-21 05:11 | 2s | 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/boda/RevUtil_Llama-3.1-8B-Instruct_score_only)