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AI Atlas
Family

Embedding

All 4 models in the terminal →

data quality35

first seen 11 Sept 2026

family_01M2AS5MG59SSENHXXK56GXXS1

Models
4
First release
16 Jan 2025
Latest release
25 Aug 2026
Parameters
434.1M – 2.72B
Artifacts
0
Providers
1

Releases

Family releases by statusActiveFeb 25Mar 25Apr 25May 25Jun 25Jul 25Aug 25Sept 25Oct 25Nov 25Dec 25Jan 26Feb 26Mar 26Apr 26May 26Jun 26Jul 26Aug 26SFR-Embedding-Code-400M_R — 16 Jan 2025OASIS-code-embedding-1.5B — 11 Mar 2025WeMM-Embedding-2B — 25 Aug 2026

3 dated releases · dot size = best benchmark rank of the member · 1 member without a sourced release date not shown

Members 4

Family members
ModelParamsContextOpennessLicenceReleasedStatusBest rankCompare
WeMM-Embedding-2BTencent2.72B—Open weightsApache-2.025 Aug 2026Active—
OASIS-code-embedding-1.5BKwaipilot1.54B—Open weightsMIT11 Mar 2025Active—
SFR-Embedding-Code-400M_RSalesforce434.1M—Restricted weightsCC-BY-NC-4.016 Jan 2025Active—
text-embedding-ada-002OpenAI——Closed——Active—

Lineage among members 0 relations

Open in Graph →

No lineage relation recorded among these members.

Benchmark progress

Benchmark progress needs at least two dated members with a rank on the same benchmark. Ranks (not scores) are what the family endpoint provides.

Aggregates are computed from the members' sourced claims; members without a release date or parameter count are left out of the range and timeline rather than guessed. Methodology →