NVIDIA: Llama Nemotron Embed 1B v2
Llama Nemotron Embed 1B v2 is an embedding model from NVIDIA released on Oct 16, 2025. It reads text and writes vectors, with a 8K token context window.
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Its weights are open, so you can host it yourself.
- Modalities
- In / out price
- n/a
- Context
- 8K
- Max output
- 2K
- Released
- Oct 16, 2025
- Knowledge cutoff
- n/a
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
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Llama Nemotron Embed 1B v2 questions
What is the context window of Llama Nemotron Embed 1B v2?
8,192 tokens of input, and it can write up to 2,048 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Is Llama Nemotron Embed 1B v2 open source?
Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.
When was Llama Nemotron Embed 1B v2 released?
Oct 16, 2025.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on Llama Nemotron Embed 1B v2?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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