INTEL_REPORT
Hugging Face — Blog (ML / agents) · published 4/29/2026, 3:01:48 PM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
Granite 4.1 LLMs: How They’re Built Granite 4.1 LLMs: How They’re Built Hugging Face Models Datasets Spaces Buckets new Docs Enterprise Pricing Log In Sign Up Back to Articles Granite 4.1 LLMs: How They’re Built Enterprise Article Published April 29, 2026 Upvote 67 +61 Yousaf Shah yousafshah Follow ibm-granite Overview Model Architecture Pre-Training Phase 1: General Pre-Training (10T tokens) Phase 2: Math/Code Pre-Training (2T tokens) Phase 3: High-Quality Data Annealing (2…
https://huggingface.co/blog/ibm-granite/granite-4-1
sha256:3f4589fbc629cddc27dfa6967f46ac02a77e4397c3f157a931ec8580c14d1593
What we pulled out
Deterministic extractor (IOC + allowlisted tokens + ATT&CK IDs present in DB).
Indicators
Linked with report → mentions → indicator. Values open the indicator workspace.
| Type | Value | Link |
|---|---|---|
| domain | model.generate | Open → |
Malware families
Allowlist token matches only.
Threat actors mentioned
Allowlist mentions — not a formal attribution verdict.
ATT&CK techniques
MITRE IDs referenced in text and present in local technique table.
CONTINUE INVESTIGATION
High-signal pivots without leaving the thread you started in search.
Browse the report corpus.
Neighborhood from the first linked indicator.