ColNanoVDR Q Ettin150M ColVec4B 640 ML vs NanoVDR S Multi

Wins 0 of 0 benchmarks
No benchmarks in this slice.

Specs

SpecColNanoVDR Q Ettin150M ColVec4B 640 MLNanoVDR S Multi
Context1K1K
WeightsOpenOpen
ReleasedSep 2026Feb 2026
Max input8K tokens1K tokens
Languages—EN, ES, FR +3
Memory (4-bit)2.8 GB0 GB
Licencehttps://huggingface.co/webAI-Official/webAI-ColVec1.1-4b/blob/main/LICENSE.mdApache-2.0
Commercial useNot allowedAllowed

What breaks when you switch

ColNanoVDR Q Ettin150M ColVec4B 640 ML → NanoVDR S Multi
Re-embed your whole corpus›

Vectors from different models can't be mixed.

Max input: 8K tokens → 1K tokens
NanoVDR S Multi → ColNanoVDR Q Ettin150M ColVec4B 640 ML
Re-embed your whole corpus›

Vectors from different models can't be mixed.

Languages: not verified
Memory (4-bit): 0 GB → 2.8 GB