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OpenVINO/Phi-3-mini-128k-instruct-fp16-ov warn

Weights only ship in a format that can run code when loaded; loading it runs custom code from the repo. Plus 2 minor notes.

downloads 36likes 0license mitarch phi3updated 2024-11-05

claims base: microsoft/Phi-3-mini-128k-instruct · chat template: present · view on Hugging Face ↗

Scan coverageStatic battery2026-08-26Weights battery2026-08-26Behavioral batterynot rundetails
BatteryLooks atStatus
Static batteryMetadata & packagingcomplete 2026-08-26
Weights batteryWeights forensics: no GPU, no downloadcomplete 2026-08-26no token vocabulary — pickle audit only · pickle audit clean
Behavioral batteryLive-inference differentialsnot 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 (openvino_detokenizer.bin, openvino_model.bin, openvino_tokenizer.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.

  1. Do not load the pickle files in-process — pickle deserialization executes arbitrary code from the file.
  2. 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.
  3. Pin the exact revision hash you converted from, and load only your converted safetensors artifact from then on.

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.

  1. Read every `.py` file in the repo before first load — this code runs in your process.
  2. 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.
  3. Prefer a version of the architecture already in `transformers` if one exists, which removes the remote-code requirement entirely.

low Padding token is the EOS token

The pad token and the (only) EOS token are the same. Fine-tuning frameworks mask pad positions out of the loss, so training on this checkpoint teaches the model to never emit EOS — the Phi-4 / Qwen 2.5 / DeepSeek R1 infinite-generation bug. Safe to serve, hazardous to fine-tune; repoint pad_token at a dedicated token first.

How to fixingot patch

Align the stop-token declarations — a pure metadata fix to `generation_config.json` (and `config.json`).

  1. Identify the token the chat template actually ends assistant turns with (e.g. `<|eot_id|>`, `<end_of_turn>`, `<|im_end|>`) and make sure its id is in `generation_config.json`'s `eos_token_id` list.
  2. Keep `config.json`'s `eos_token_id` consistent with (or a subset of) `generation_config.json`'s — runtimes differ in which file they read.
  3. For the pad-equals-EOS hazard: repoint `pad_token` at a dedicated padding token before fine-tuning; serving is unaffected.
  4. Until the repo is fixed, pass explicit stop tokens to your serving stack (e.g. vLLM `stop_token_ids`, llama.cpp `--override-kv tokenizer.ggml.eos_token_id`).

info Pickle static analysis clean

Opcode-level parse of openvino_detokenizer.bin, openvino_model.bin, openvino_tokenizer.bin (no code executed) found only standard serialization globals (0 distinct, all torch/collections/numpy). Pickle remains an executable format — this verifies the current bytes, not future uploads; prefer a safetensors release.

low Pickle checkpoint only partially analyzable

Static analysis could not fully parse: openvino_detokenizer.bin: 429 Too Many Requests for https://huggingface.co/OpenVINO/Phi-3-mini-128k-instruct-fp16-ov/resolve/main/openvino_detokenizer.bin, openvino_model.bin: 429 Too Many Requests for https://huggingface.co/OpenVINO/Phi-3-mini-128k-instruct-fp16-ov/resolve/main/openvino_model.bin, openvino_tokenizer.bin: 429 Too Many Requests for https://huggingface.co/OpenVINO/Phi-3-mini-128k-instruct-fp16-ov/resolve/main/openvino_tokenizer.bin. Unparsed content is unverified.

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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 OpenVINO/Phi-3-mini-128k-instruct-fp16-ov

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 2026-08-26.

architecturephi3 · 32 layers · 3072-dim
vocabulary32,064 tokens
licensemit
serializationno safetensors pickle custom code
chat templatepresent · sha256:dcaee66df77bfbb7
claimed lineagemicrosoft/Phi-3-mini-128k-instruct
lineage verifiedunverified — weights battery pending
Full measured fingerprint
architecturesPhi3ForCausalLM
librarytransformers
pipelinetext-generation
repo files16 — pickle: openvino_detokenizer.bin, openvino_model.bin, openvino_tokenizer.bin
revision598be991078d
HF snapshot20 downloads · 0 likes · updated 2024-11-05 · captured 2026-08-25
weights batterytoken-embedding scan n/a — no token-embedding tensor found in the pickle checkpoint(s) — pickle checkpoint(s) statically analyzed anyway
pickle auditopenvino_detokenizer.bin, openvino_model.bin, openvino_tokenizer.bin — 0 standard global(s)
Battery runs (1)the run trace behind the findings — what each job measured
batterystatusqueueddurationattempts
weightscomplete2026-08-25 22:142s1
weights run 2026-08-25 — measurements
probes runpickle-static-analysis

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Ingot verdict: warn

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