LLM2Vec Llama 2 7B Chat Hf Mntp Supervised measured on 5 of 261 Embeddings benchmarks5
BenchmarkByScoreRank
No benchmark matches
self-host onlyprice
88MTEB English v2
Apr 2024released
33K tokensMax input
enLanguages
Alternatives?
ModelScoreCostPriceWhat changes
VBetterVoyage Large 2 Instructunstated+4%—$0.12Max input: 33K tokens → 16K tokens+1KOpenQZhou Embeddingunstated+5%——Memory (4-bit): 4 GB → 4.2 GBjBetterIngot 8B R3unstated+7%——Languages: not verifiedTBetterConan Embedding v2unstated+6%——iBetterJasper Token Compression 600MunstatedOpen+2%——ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
VVoyage Large 2 Instructunstated+4%—$0.12Max input: 33K tokens → 16K tokens+1jIngot 8B R3unstated+7%——Languages: not verifiedTConan Embedding v2unstated+6%——KQZhou EmbeddingunstatedOpen+5%——Memory (4-bit): 4 GB → 4.2 GBiJasper Token Compression 600MunstatedOpen+2%——ModelScoreCostPriceWhat changes
KQZhou EmbeddingunstatedOpen+5%——Memory (4-bit): 4 GB → 4.2 GBiJasper Token Compression 600MunstatedOpen+2%——KNano Em1 0.6B v2.1unstatedOpen+2%——Max input: 33K tokens → 8K tokens
NV Embed v2unstatedOpensame——Memory (4-bit): 4 GB → 4.7 GBaLGAI Embedding PreviewunstatedOpensame——Memory (4-bit): 4 GB → 4.3 GBModelScoreCostPriceWhat changes
MLLM2Vec Mistral 7B Instruct v2 Mntp SupervisedunstatedOpensame——Memory (4-bit): 4 GB → 4.3 GBMLLM2Vec Meta Llama 3 8B Instruct Mntp SupervisedunstatedOpensame——Max input: 33K tokens → 8K tokens+1MLLM2Vec Sheared Llama Mntp SupervisedunstatedOpen-2%——MLLM2Vec Mistral 7B Instruct v2 Mntp Unsup SimcseunstatedOpen-8%——Memory (4-bit): 4 GB → 4.3 GBMLLM2Vec Meta Llama 3 8B Instruct Mntp Unsup SimcseunstatedOpen-11%——Max input: 33K tokens → 8K tokens+1MLLM2Vec Llama 2 7B Chat Hf Mntp Unsup SimcseunstatedOpen-12%——MLLM2Vec Sheared Llama Mntp Unsup SimcseunstatedOpen-18%——All McGill-NLP models →Run it yourself
estimateFits on✓ 8 GB (phone, laptop) · 8-bit✓ 16 GB · full quality✓ 24 GB GPU · full quality✓ 48 GB GPU · full quality✓ 80 GB GPU · full quality
LicenceMITfree for commercial use
Benchmarks
in Embeddings & RetrievalBEIR · Retrieval · English54.6#52
FAQ
How much does LLM2Vec Llama 2 7B Chat Hf Mntp Supervised cost?›
There is no per-unit API price: self-host only.
Is LLM2Vec Llama 2 7B Chat Hf Mntp Supervised free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is LLM2Vec Llama 2 7B Chat Hf Mntp Supervised, and what is it best at?›
#17 of 238 in Embeddings.
Is LLM2Vec Llama 2 7B Chat Hf Mntp Supervised better than SFR Embedding 2 R?›
On MTEB English v2 · Pair Classification · English, LLM2Vec Llama 2 7B Chat Hf Mntp Supervised scores 88 vs 88.1 — about the same.
When was LLM2Vec Llama 2 7B Chat Hf Mntp Supervised released? Is there a newer version?›
Released 2024-04-09. It is the current version in its line.
Is LLM2Vec Llama 2 7B Chat Hf Mntp Supervised open source?›
Yes, the weights are open (MIT licence).
Can I run LLM2Vec Llama 2 7B Chat Hf Mntp Supervised locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is LLM2Vec Llama 2 7B Chat Hf Mntp Supervised?›
LLM2Vec Llama 2 7B Chat Hf Mntp Supervised is an open-weights embeddings & retrieval model from McGill-NLP, released Apr 2024.
What are the best alternatives to LLM2Vec Llama 2 7B Chat Hf Mntp Supervised?›
Voyage Large 2 Instruct (better), QZhou Embedding (open weights).