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Tiger Lab model product

VLM2Vec-LoRA

Ranked model from MTEB.

Updated Aug 18, 2026. Default version: VLM2Vec-LoRA

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LLMBoard Embedding Score41.6VLM2Vec-LoRA
Coverage50%4 benchmark families
Context window131.1KTokens
Official input priceN/AOfficial price unavailable

On this page

  • Capability
  • Benchmarks
  • Arena
  • Pricing
  • Runtime
  • Specification
  • Versions
  • Compare
  • Similar models
  • About
  • FAQ

VLM2Vec-LoRA Capability Profile

This profile uses the model's current scored version. Arena ratings and prices are shown separately.

VLM2Vec-LoRA LLMBoard score breakdown

VLM2Vec-LoRA Benchmark Results

Benchmark scores for VLM2Vec-LoRA.

4 rows
Columns

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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMIEB(eng) Semantic SimilarityScore53.6%Rank19Participants48PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMIEB(eng) ClusteringScore72.6%Rank36Participants48PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMIEB(eng) ClassificationScore54.1%Rank45Participants48PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMIEB(eng) MultimodalScore38.7%Rank55Participants83PercentileN/AEvidenceAEvaluatedAug 18, 2026

VLM2Vec-LoRA Arena Results

Preference and agent-evaluation results for the default version.

No Arena results

The default version does not have a matching Arena result yet.

VLM2Vec-LoRA Pricing

Official vendor API pricing appears first, followed by individual provider offers.

Official API
N/A
Official provider
N/A
Lowest third-party
N/A
Tracked offerings
0
No provider prices

The default version has no current input or output token prices.

Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.

VLM2Vec-LoRA Runtime Performance

Provider-specific output speed and catalog latency for VLM2Vec-LoRA. Runtime does not affect the capability score.

No runtime data

No provider-specific speed or latency record is linked to the default version yet.

Browse runtime rankings

Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.

VLM2Vec-LoRA Specifications

Technical details for the model's default version.

Version
VLM2Vec-LoRA
Released
Oct 8, 2024
Knowledge cutoff
Unknown
Parameters
4.2B
Context window
131.1K
Max output
N/A
Inputs
image, text
Outputs
embedding
Open weights
Yes
License
apache-2.0

VLM2Vec-LoRA Versions

Available versions of this model. The score column identifies the version used in the overall ranking.

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Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
VersionVLM2Vec-LoRAReleasedOct 8, 2024LLMBoard41.6Parameters4.2BContext131.1KMax outputN/AOpen weightsYesLicenseapache-2.0

VLM2Vec-LoRA vs nearby models

Open a comparison with the three ranked models immediately above and below this model.

VLM2Vec-LoRAvsblip-itm-base-cocoVLM2Vec-LoRAvslodestone-base-4096-v1VLM2Vec-LoRAvsVLM2Vec-FullVLM2Vec-LoRAvsudever-bloom-3bVLM2Vec-LoRAvsgranite-embedding-278m-multilingualVLM2Vec-LoRAvsSolon-embeddings-large-0.1

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What is VLM2Vec-LoRA?

Key information about VLM2Vec-LoRA and its available data.

Ranked model from MTEB.

Data as of 2026-08-17.

FAQ

Common questions about VLM2Vec-LoRA.

When was VLM2Vec-LoRA released?

VLM2Vec-LoRA's default version was released on Oct 8, 2024.

How much does VLM2Vec-LoRA cost?

No official standard PAYG price is currently available for VLM2Vec-LoRA.

Who created VLM2Vec-LoRA?

VLM2Vec-LoRA was created by Tiger Lab.

What is the context window for VLM2Vec-LoRA?

The default version has a 131.1K token context window.

Is VLM2Vec-LoRA open weight?

Yes. The default version is marked as open weight under apache-2.0.

How many API providers offer VLM2Vec-LoRA?

No provider offering is currently linked to the default version.

What models should I compare VLM2Vec-LoRA with?

Nearby ranked alternatives include blip-itm-base-coco, lodestone-base-4096-v1, VLM2Vec-Full.