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Phi-4-mini-instruct (3.8B), SigLIP2-so400M

family · Phi4

Open in Graph
data quality35

Updated 2 h ago · first seen 12 Sept 2026

model_01M29Y2EZ6PJ0Z85C4BPP0SAPT

Overview

Identity

Canonical model
Yesidentity confidence: highOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
Official checkpoints
None recordedofficial_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
Artifacts
None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
Provider deployments
None recorded
API aliases
NoneIdentifiers under which providers and evaluators refer to this model.
Folded evaluation variants
0Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.

Openness

Openness not classified yet — no sourced evidence to place this model in the ontology.

Lineage

Open in Graph →
Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
DESCENDANTS 1CARE-X3.8BCARE-X — 3.8BPhi-4-mini-instruct (3.8B), S…this modelPhi-4-mini-instruct (3.8B), SigLIP2-so400M — this model

Versions & Artifacts0

Version history

No versioned property recorded yet.

Artifacts 0

No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.

Timeline1

Full timeline →

Change history0

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

No claims recorded yet

Claims appear when a source states a fact; every later change is kept as a new claim.

Provenance

Attributed facts

1

Source tiers

T21

Freshest observation

2 h ago

Conflicts

None

Source documents 1

Source documents
SourceDocumentTypeTierLast observedSnapshots
Microsoft Research — publications & blogmicrosoft.com/en-us/research/blog/introducing-care-x-towards-clinically-useful-radiology-vlms-with-auxiliary-supervision-reward-aligned-learning-and-tool-augmented-measurement newsT1· Official5 h ago2

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (35/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →