Johnm58/LongCoder warn
Weights only ship in a format that can run code when loaded; its license differs from its base model's; its tokenizer differs from its claimed base model.
claims base: meta-llama/Llama-3.2-1B · chat template: not found · view on Hugging Face ↗
Scan coverageStatic battery2026-08-26Weights batteryn/aBehavioral batterynot rundetails
| Battery | Looks at | Status |
|---|---|---|
| Static battery | Metadata & packaging | complete 2026-08-26 |
| 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 |
Ingot runs three batteries against a model. What each one checks →
Findings
Scanned 2026-08-26 · published from a community scan.
medium Pickle-serialized weights, no safetensors
Weights ship only as pickle-based files (training_args.bin). Loading pickle executes arbitrary code from the file — prefer a safetensors release or load in a sandbox.
How to fix
Convert the weights to safetensors before loading them anywhere that matters.
- Do not load the pickle files in-process — pickle deserialization executes arbitrary code from the file.
- Convert locally in a sandbox: `pip install safetensors` and use `safetensors.torch.save_file` on a state dict loaded with `torch.load(..., weights_only=True)` (refuses most code-execution payloads), or use Hugging Face's `convert.py` space/script.
- Pin the exact revision hash you converted from, and load only your converted safetensors artifact from then on.
medium License differs from claimed parent (cc-by-nc-nd-4.0 vs llama3.2)
This model declares cc-by-nc-nd-4.0 while its claimed base meta-llama/Llama-3.2-1B declares llama3.2. 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 Vocabulary size differs from claimed parent (50257 vs 128256)
A changed vocab means changed tokenization: strings will split differently than on meta-llama/Llama-3.2-1B, which can shift behavior on identifiers, codes, and non-English text.
How to fixweight-level
Not patchable: the vocab size mirrors the embedding matrix in the weights. Verify the change was intentional.
- Do not edit `vocab_size` in config.json to "match the parent" — it must equal the embedding table in the shipped weights or the model won't load.
- Diff the tokenizers (`tokenizer.json` / added_tokens) against the parent to see what was added or removed, and test your own identifiers, codes, and non-English text through both.
- If the drift is unexplained by the model card, treat tokenization-sensitive behavior as unvalidated on this model.
Remediation guidance addresses the documented findings only. It is evidence-driven repair, not a safety certification of the model.
Check every checkpoint before it ships
Use the web app, API, CLI, or CI gate to scan candidate checkpoints and catch model drift before deployment. Public-model scans publish to the open database; paid plans add the volume needed for continuous checks.
Fingerprint
The durable profile of this model: measured weights-and-metadata facts, rebuilt on every scan and battery run. Updated 2026-08-26.
| architecture | longcoder · 24 layers · 1024-dim |
| vocabulary | 50,257 tokens |
| license | cc-by-nc-nd-4.0 |
| serialization | no safetensors pickle |
| chat template | none |
| claimed lineage | meta-llama/Llama-3.2-1B |
| lineage verified | unverified — weights battery pending |
Full measured fingerprint
| pipeline | text-generation |
| repo files | 4 — pickle: training_args.bin |
| revision | 9f90a40fd173 |
| HF snapshot | 16 downloads · 1 likes · updated 2024-10-30 · captured 2026-08-25 |
| weights battery | token-embedding scan n/a — repo ships no scannable weights (no safetensors and no pickle checkpoints — GGUF/CoreML/other formats) |
Battery runs (1)the run trace behind the findings — what each job measured
| battery | status | queued | duration | attempts |
|---|---|---|---|---|
| weights | complete | 2026-08-25 22:23 | 0s | 1 |
weights run 2026-08-25 — measurements
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/Johnm58/LongCoder)