Mcgill Nlp model product
LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse is an embedding model from Mcgill Nlp.
Updated Sep 8, 2026. Default version: LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkMTEB English v2 Classification | Score77.29% | Rank179 | Participants257 | Percentile30.47% | EvidenceA | EvaluatedN/A |
| BenchmarkMTEB English v2 Reranking | Score43.21% | Rank195 | Participants241 | Percentile19.17% | EvidenceA | EvaluatedN/A |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Official vendor API pricing appears first, followed by individual provider offers.
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.
Provider-specific output speed and catalog latency for LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionLLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse | Released | LLMBoard44.11 | Parameters6.6B | Context32.8K | Max outputN/A | Open weightsYes | Licensemit |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse and its available data.
LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse is an embedding model from Mcgill Nlp. It is a ranked model from MTEB.
Data as of 2026-09-08.
Common questions about LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse.
LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse's default version was released on Apr 9, 2024.
No official standard PAYG price is currently available for LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse.
LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse was created by Mcgill Nlp.
The default version has a 32.8K token context window.
Yes. The default version is marked as open weight under mit.
No provider offering is currently linked to the default version.