Updated 7 h ago · first seen 15 Sept 2026
model_01M2K1CR5YF6EKNYYX5PME5XF5
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 recorded — closed weightsofficial_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
Closed / proprietary— weights not available; 7 dimensions unknown.
Weights are not available; the model is reachable only through an API or a product.
Weights
No
Inference code
—
Training code
—
Training data
—
Dataset
—
Commercial use
—
Redistribution
—
Derivatives
—
dimensions marked null are unknown, not false
Key facts
- Release date
Source:Google AI for Developers (Gemini API docs)T2observed 22 h agomediumLLM-extracted
- Status
Source:Google AI for Developers (Gemini API docs)T2observed 22 h agomediumLLM-extracted
- Version
Source:Google AI for Developers (Gemini API docs)T2observed 22 h agomediumLLM-extracted
Architecture
- Architecture
Source:Google AI for Developers (Gemini API docs)T2observed 22 h agomediumLLM-extracted
Capabilities
Modalities
- Modalities
- NASA’s satellite-based Integrated Multi-satellite Retrievals for GPM (IMERG)dense gridded fieldsdiscrete cyclone tracksglobal precipitation reanalysis based on satellite radarlive 1-hour geostationary satellite mosaicssparse weather station observation datastation-level sparse coordinatestraditional historical analysis
- Input
- NASA’s satellite-based Integrated Multi-satellite Retrievals for GPM (IMERG)global precipitation reanalysis based on satellite radarlive 1-hour geostationary satellite mosaicssparse weather station observation datatraditional historical analysis
- Output
- dense gridded fieldsdiscrete cyclone tracksstation-level sparse coordinates
Capabilities
Tool calling
Unavailable
Structured output
Unavailable
Reasoning
Unavailable
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
No capability flags have been observed from a source yet — we do not infer them.
No structured attributes yet.
Versions & Artifacts0
Version history
Opennessfirst observation only
15 Sept 2026current
Statusfirst observation only
15 Sept 2026current
Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.
Artifacts 0
No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.
Change history
Input modalitiesmodalities_input1
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Provenance
Attributed facts
12
Source tiers
T212
Freshest observation
7 h ago
Conflicts
None
Source documents 1
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (54/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →