Model page

cygu/llama-2-7b-logit-watermark-distill-aar-k2 warn

Weights only ship in a format that can run code when loaded. Plus 1 minor note.

downloads 9likes 0license llama2arch llamaupdated 2024-05-01

chat template: not found · 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 (pytorch_model-00001-of-00003.bin, pytorch_model-00002-of-00003.bin, pytorch_model-00003-of-00003.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.

info Pickle static analysis clean

Opcode-level parse of pytorch_model-00001-of-00003.bin, pytorch_model-00002-of-00003.bin, pytorch_model-00003-of-00003.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: pytorch_model-00001-of-00003.bin: 429 Too Many Requests for https://huggingface.co/cygu/llama-2-7b-logit-watermark-distill-aar-k2/resolve/main/pytorch_model-00001-of-00003.bin, pytorch_model-00002-of-00003.bin: 429 Too Many Requests for https://huggingface.co/cygu/llama-2-7b-logit-watermark-distill-aar-k2/resolve/main/pytorch_model-00002-of-00003.bin, pytorch_model-00003-of-00003.bin: 429 Too Many Requests for https://huggingface.co/cygu/llama-2-7b-logit-watermark-distill-aar-k2/resolve/main/pytorch_model-00003-of-00003.bin. Unparsed content is unverified.

Remediation guidance addresses the documented findings only. It is evidence-driven repair, not a safety certification of the model.

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Fingerprint

The durable profile of this model: measured weights-and-metadata facts, rebuilt on every scan and battery run. Updated 2026-08-26.

architecturellama · 32 layers · 4096-dim
vocabulary32,000 tokens
licensellama2
serializationno safetensors pickle
chat templatenone
Full measured fingerprint
architecturesLlamaForCausalLM
librarytransformers
pipelinetext-generation
repo files17 — pickle: pytorch_model-00001-of-00003.bin, pytorch_model-00002-of-00003.bin, pytorch_model-00003-of-00003.bin, training_args.bin
revisionfa7d5df81964
HF snapshot20 downloads · 0 likes · updated 2024-05-01 · 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 auditpytorch_model-00001-of-00003.bin, pytorch_model-00002-of-00003.bin, pytorch_model-00003-of-00003.bin — 0 standard global(s)
Battery runs (1)the run trace behind the findings — what each job measured
batterystatusqueueddurationattempts
weightscomplete2026-08-25 22:143s1
weights run 2026-08-25 — measurements
probes runpickle-static-analysis

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Ingot verdict: warn

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