Gme Qwen2 VL 2B Instruct
Dec 2024
Gme Qwen2 VL 2B InstructCompare inon
Gme Qwen2 VL 2B Instruct measured on 12 of 203 Multimodal benchmarks12
BenchmarkByScoreRank
Reranking6
Other6
No benchmark matches
self-host onlyprice
82.5MTEB English v2
Dec 2024released
1,536Dimensions
33K tokensMax input
en, zhLanguages
Alternatives?
ModelScoreCostPriceWhat changes
BetterEmbeddingGemma 2unstatedOpen+5%—$0.02Max input: 33K tokens → 8K tokens+1
BetterJina Embeddings v5 Omni NanounstatedOpen+3%—$0.02Max input: 33K tokens → 8K tokens+1BetterJina Embeddings v5 Omni SmallunstatedOpen+3%—$0.05Languages: not verifiedBBetterBidirLM Omni 2.5B EmbeddingunstatedOpen+4%——Memory (4-bit): 1.3 GB → 1.5 GB
BetterSeed1.6 Embeddingunstated+3%——Languages: not verifiedModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
EmbeddingGemma 2unstatedOpen+5%—$0.02Max input: 33K tokens → 8K tokens+1Jina Embeddings v5 Omni NanounstatedOpen+3%—$0.02Max input: 33K tokens → 8K tokens+1Jina Embeddings v5 Omni SmallunstatedOpen+3%—$0.05Languages: not verifiedBBidirLM Omni 2.5B EmbeddingunstatedOpen+4%——Memory (4-bit): 1.3 GB → 1.5 GBSeed1.6 Embeddingunstated+3%——Languages: not verifiedModelScoreCostPriceWhat changes
EmbeddingGemma 2unstatedOpen+5%—$0.02Max input: 33K tokens → 8K tokens+1BBidirLM Omni 2.5B EmbeddingunstatedOpen+4%——Memory (4-bit): 1.3 GB → 1.5 GBJina Embeddings v5 Omni SmallunstatedOpen+3%—$0.05Languages: not verifiedGme Qwen2 VL 7B InstructunstatedOpen+3%——Memory (4-bit): 1.3 GB → 4.6 GBJina Embeddings v5 Omni NanounstatedOpen+3%—$0.02Max input: 33K tokens → 8K tokens+1ModelScoreCostPriceWhat changes
Gme Qwen2 VL 7B InstructunstatedOpen+3%——Memory (4-bit): 1.3 GB → 4.6 GBQwen 3 VL Embedding 2BOpenn/a——Languages: not verifiedQwen 3 VL Embedding 8BOpenn/a—$0.09Languages: not verified+1Tongyi Embedding Vision Flashn/a—$0.09Max input: not verified+1Tongyi Embedding Vision Plusn/a—$0.09Max input: not verified+1GVE 7BOpenn/a——Languages: loses zh+1Qwen 3 Omni 30B A3B ThinkingOpenn/a——Languages: loses zh+1Qwen 2.5 Omni 3BOpenn/a——Languages: loses zh+1All Alibaba (Qwen) models →Run it yourself
estimateFits on✓ 8 GB (phone, laptop) · full quality✓ 16 GB · full quality✓ 24 GB GPU · full quality✓ 48 GB GPU · full quality✓ 80 GB GPU · full quality
LicenceApache-2.0free for commercial use
FAQ
How much does Gme Qwen2 VL 2B Instruct cost?›
There is no per-unit API price: self-host only.
Is Gme Qwen2 VL 2B Instruct free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is Gme Qwen2 VL 2B Instruct, and what is it best at?›
#9 of 13 in Multimodal.
Is Gme Qwen2 VL 2B Instruct better than Nomic Embed Text v2 Moe?›
On MTEB English v2 · Pair Classification · English, Gme Qwen2 VL 2B Instruct scores 82.5 vs 82.6 — about the same.
When was Gme Qwen2 VL 2B Instruct released? Is there a newer version?›
Released 2024-12-24. It is the current version in its line.
Is Gme Qwen2 VL 2B Instruct open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Gme Qwen2 VL 2B Instruct locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Gme Qwen2 VL 2B Instruct?›
Gme Qwen2 VL 2B Instruct is an open-weights embeddings & retrieval model from Alibaba (Qwen), released Dec 2024.
What are the best alternatives to Gme Qwen2 VL 2B Instruct?›
EmbeddingGemma 2 (better).