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
BetterQwen 3 Embedding 8BunstatedOpen+15%—$0.01Languages: not verified+1
OpenNV Embed v2unstated+16%——Memory (4-bit): 4 GB → 4.7 GB
BetterBge En IclunstatedOpen+14%—$0.01Languages: not verified+1BetterQwen 3 Embedding 4BunstatedOpen+13%—$0.02Languages: not verifiediBetterE5 Mistral 7B InstructunstatedOpen+5%—$0.022Memory (4-bit): 4 GB → 4.3 GBModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
Qwen 3 Embedding 8BunstatedOpen+15%—$0.01Languages: not verified+1Bge En IclunstatedOpen+14%—$0.01Languages: not verified+1Qwen 3 Embedding 4BunstatedOpen+13%—$0.02Languages: not verifiediE5 Mistral 7B InstructunstatedOpen+5%—$0.022Memory (4-bit): 4 GB → 4.3 GBBge Multilingual Gemma2unstatedOpen+9%—$0.11Max input: 33K tokens → 8K tokens+2ModelScoreCostPriceWhat changes
NV Embed v2unstatedOpen+16%——Memory (4-bit): 4 GB → 4.7 GBQwen 3 Embedding 8BunstatedOpen+15%—$0.01Languages: not verified+1Bge En IclunstatedOpen+14%—$0.01Languages: not verified+1yLENS D8000unstatedOpen+13%——Languages: not verified+1iInf Retriever v1unstatedOpen+13%——Memory (4-bit): 4 GB → 4.2 GBModelScoreCostPriceWhat changes
MLLM2Vec Meta Llama 3 8B Instruct Mntp SupervisedunstatedOpen+4%——Max input: 33K tokens → 8K tokens+1MLLM2Vec Mistral 7B Instruct v2 Mntp SupervisedunstatedOpen+3%——Memory (4-bit): 4 GB → 4.3 GBMLLM2Vec Sheared Llama Mntp SupervisedunstatedOpen-6%——MLLM2Vec Meta Llama 3 8B Instruct Mntp Unsup SimcseunstatedOpen-28%——Max input: 33K tokens → 8K tokens+1MLLM2Vec Mistral 7B Instruct v2 Mntp Unsup SimcseunstatedOpen-30%——Memory (4-bit): 4 GB → 4.3 GBMLLM2Vec Llama 2 7B Chat Hf Mntp Unsup SimcseunstatedOpen-33%——MLLM2Vec Sheared Llama Mntp Unsup SimcseunstatedOpen-53%——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 UAE Large v1?›
On BEIR · Mean over tasks · English, LLM2Vec Llama 2 7B Chat Hf Mntp Supervised scores 54.6 vs 54.6 — 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?›
Qwen 3 Embedding 8B (better), NV Embed v2 (open weights).