NV Embed V2
NVIDIA's NV Embed V 2 is a generalist embedding model that excels at text embedding tasks, as evidenced by its top ranking on the Massive Text Embedding Benchmark with a score of 72.31. It features a base decoder-only LLM architecture, specifically Mistral-7B-v0.1, and utilizes a latent-attention pooling type to produce high-quality embeddings. Notably, NV Embed V 2 incorporates a novel two-staged instruction tuning method and hard-negative mining approach to enhance its accuracy, particularly in retrieval tasks.
Input
Output
Context
33K
Max Output
-
Parameters
7B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
Resources & Links
Estimated GPU Requirements for NV Embed V2
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
Start building with the right model.
Automatically route workloads to the right model for every task, every time.