Nvidia Nemotron Nano 9B V2, developed by NVIDIA, features 9B parameters and 131k-token context window. NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be controlled via a system prompt. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so. Priced affordably at $0.04/1M tokens.
Visit NVIDIA: Nemotron Nano 9B V2AI-Powered
Leverages advanced AI technology to deliver cutting-edge capabilities and results.
Fast & Efficient
Optimized performance ensures quick results without compromising on quality.
Purpose-Built
Specifically designed for llms tasks and workflows.
Nvidia Model Timeline
256k tokens context
262k tokens context
128k tokens context
131k tokens context
131k tokens context
128k tokens context
131k tokens context
131k tokens context
131k tokens context
Specifications
AI Evaluation
Compact but capable, this reasoning-focused model handles complex logical tasks efficiently. A good balance of analytical power and resource efficiency.
Pros
- Budget-friendly at $0.04/1M tokens
- 131k token context window
- Lightweight and efficient
- Advanced logical reasoning
Cons
- Limited depth on complex topics
- API integration required
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