Llama Nemotron Rerank VL 1B v2
Llama Nemotron Rerank VL 1B v2
📌 Model Overview
Reranking model for improving retrieval quality in search and recommendation systems
Llama Nemotron Rerank VL 1B v2 is a Open Weights model developed by NVIDIA, released on 2026-03-31. It is designed primarily for Multimodal General workloads. Featuring a 128K tokens context window and 1B parameter count, it offers robust performance for enterprise integration, developers, and researchers.
✨ Key Features & Capabilities
| Feature | Description |
|---|---|
| Context Window | 128K tokens capacity for extended prompts and multi-turn workflows |
| Primary Task | Optimized for Multimodal General |
| Deployment | self-hostable, api-only |
| Modality | text, image |
| Max Output | Max Output: 4K tokens |
⚙️ Technical Specifications
| Specification | Details |
|---|---|
| Developer / Lab | NVIDIA |
| Release Date | 2026-03-31 |
| Model Type | Open Weights |
| Parameters | 1B |
| Context Window | 128K tokens |
| License | proprietary |
| Model Family | nemotron |
💰 Pricing
| Tier / Unit | Rate (USD) |
|---|---|
| 1M input tokens | $0 |
| 1M output tokens | $0 |
📜 License & Usage
This model is governed by the proprietary license. Please check official developer guidelines before commercial deployment.
Key Features
Max Output: 4K tokens
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Verified Sources
Tags
Model Specs
Parameters
1B
Context Window
128K tokens
License
proprietary
Deployment
Pricing
- 1M input tokens$0
- 1M output tokens$0
as of 2026-07-26
Lineage
Model Family
Part of the nemotron family
Curator Notes
Skeleton entry imported from models.dev backfill (2026-07-26). Needs manual enrichment and primary-source verification.
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