Open-source atomic malware analysis

Analyze another

microsoft main

PYTHON
Verdict: BENIGN
Mal-ecule
Size 72.1 KB download
First seen 65 days ago
Analyzed 65 days ago
Ecosystem huggingface
modeling_phi3.py python
130 # Force float32 since bfloat16 loses precision on long contexts
131 # See https://github.com/huggingface/transformers/pull/29285
132 device_type = x.device.type Munin metric value output
133 device_type = device_type if isinstance(device_type, str) and device_type != "mps" else "cpu"
134 with torch.autocast(device_type=device_type, enabled=False):
559 ):
560 """
561 Calls the forward method of Flash Attention - if the input hidden states contain at least one padding token Credential-access vocabulary word: token
562 first unpad the input, then computes the attention scores and pad the final attention scores.

Well-known

Metadata

Identity

SHA-256 e737b46584be3ee907165eab54d8b18a18214acca4392a3ac9cbf37dbf9d3302
Filename modeling_phi3.py
Package microsoft
Version main
PURL pkg:huggingface/microsoft@main

Origin

Source harvest
Feed huggingface.co
Ecosystem huggingface
Domain huggingface.co
URL https://huggingface.co/microsoft/Phi-3.5-mini-instruct

Timeline

First seen 29 Jun 2026 02:12 UTC
First analyzed 29 Jun 2026 02:19 UTC
Last analyzed 29 Jun 2026 02:19 UTC
Last updated 29 Jun 2026 02:19 UTC

Labeling

Label good
Label source harvest
Traits version 46112