nvidia/Eagle2.5-8B warn
Loading it runs custom code from the repo; its license differs from its base model's; the chat template was dropped from its base model, which changes behavior.
claims base: Qwen/Qwen2.5-7B-Instruct, google/siglip2-so400m-patch16-512 · chat template: present · view on Hugging Face ↗
Scan coverageStatic battery2026-08-21Weights batteryfailedBehavioral batterynot rundetails
| Battery | Looks at | Status |
|---|---|---|
| Static battery | Metadata & packaging | complete 2026-08-21 |
| Weights battery | Weights forensics — no GPU, no download | failed429 Too Many Requests for https://huggingface.co/api/models/nvidia/Eagle2.5-8B |
| 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.
info Gated repository
Access requires accepting the owner's terms; check the gate conditions for redistribution and field-of-use limits.
How to fix
Read the gate terms before building on the model.
- Check the gate conditions on the Hugging Face repo for redistribution and field-of-use limits — they bind your deployment, not just your download.
info Gated repo files unreadable — file-level checks skipped
config.json and tokenizer_config.json could not be read, so chat-template, architecture, and vocab checks did not run. Full scans of gated repos need the service's HF_TOKEN account to have accepted this repo's license on Hugging Face.
How to fix
Read the gate terms before building on the model.
- Check the gate conditions on the Hugging Face repo for redistribution and field-of-use limits — they bind your deployment, not just your download.
medium License differs from claimed parent (other vs apache-2.0)
This model declares other while its claimed base Qwen/Qwen2.5-7B-Instruct declares apache-2.0. 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
Qwen/Qwen2.5-7B-Instruct 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.
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 nvidia/Eagle2.5-8B
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 | eagle_2_5_vl |
| parameters | 8070.8M |
| license | other |
| serialization | safetensors custom code |
| chat template | none |
| claimed lineage | Qwen/Qwen2.5-7B-Instruct, google/siglip2-so400m-patch16-512 |
| lineage verified | unverified — weights battery pending |
Full measured fingerprint
| architectures | Eagle2_5_VLForConditionalGeneration |
| library | transformers |
| pipeline | image-text-to-text |
| repo files | 23 |
| gated | auto |
| revision | 61e45235a1e4 |
| HF snapshot | 82.0k downloads · 47 likes · updated 2025-11-29 · captured 2026-08-21 |
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/nvidia/Eagle2.5-8B)