naklitechie/LFM2.5-1.2B-Instruct-q4f16_1-MLC warn
Weights only ship in a format that can run code when loaded; the chat template was dropped from its base model, which changes behavior.
claims base: LiquidAI/LFM2.5-1.2B-Instruct · chat template: not found · view on Hugging Face ↗
Scan coverageStatic battery2026-08-25Weights batteryqueuedBehavioral batterynot rundetails
| Battery | Looks at | Status |
|---|---|---|
| Static battery | Metadata & packaging | complete 2026-08-25 |
| Weights battery | Weights forensics — no GPU, no download | queued |
| Behavioral battery | Live-inference differentials | not run |
Ingot runs three batteries against a model. What each one checks →
Findings
Scanned 2026-08-25 · published from a community scan.
medium Pickle-serialized weights, no safetensors
Weights ship only as pickle-based files (params_shard_0.bin, params_shard_1.bin, params_shard_10.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 Chat template dropped vs parent
LiquidAI/LFM2.5-1.2B-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 naklitechie/LFM2.5-1.2B-Instruct-q4f16_1-MLC
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 2026-08-25.
| license | other |
| serialization | no safetensors pickle |
| chat template | none |
| claimed lineage | LiquidAI/LFM2.5-1.2B-Instruct |
| lineage verified | unverified — weights battery pending |
Full measured fingerprint
| library | mlc-llm |
| pipeline | text-generation |
| repo files | 34 — pickle: params_shard_0.bin, params_shard_1.bin, params_shard_10.bin, params_shard_11.bin, params_shard_12.bin, params_shard_13.bin, params_shard_14.bin, params_shard_15.bin, params_shard_16.bin, params_shard_17.bin |
| revision | 1aacf852d7a5 |
| HF snapshot | 17 downloads · 0 likes · updated 2026-06-05 · captured 2026-08-25 |
Battery runs (1)the run trace behind the findings — what each job measured
| battery | status | queued | duration | attempts |
|---|---|---|---|---|
| weights | queued | 2026-08-25 22:20 | — | 0 |
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/naklitechie/LFM2.5-1.2B-Instruct-q4f16_1-MLC)