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llama-nemotron-embed-1b-v2

llama-nemotron-embed-1b-v2 is an open-source feature-extraction model available on HuggingFace. Details are sourced from the public model registry.

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Use cases

  • Building feature-extraction applications
  • Research and experimentation
  • Open-source AI prototyping

Pros

  • Open weights available
  • Community support on HuggingFace

Cons

  • Requires manual evaluation for production use
  • Licensing terms vary — check model card

FAQ

What is llama-nemotron-embed-1b-v2 used for?

Building feature-extraction applications. Research and experimentation. Open-source AI prototyping.

Is llama-nemotron-embed-1b-v2 free to use?

llama-nemotron-embed-1b-v2 is an open-source model published on HuggingFace. License terms vary by model — check the model card for the specific license.

How do I run llama-nemotron-embed-1b-v2 locally?

Most HuggingFace models can be loaded with transformers or the appropriate framework library. See the model card for framework-specific instructions and hardware requirements.

Tags

sentence-transformerspytorchsafetensorsllama_bidirecfeature-extractiontexttext-embeddingsretrievalsemantic-searchtransformerscustom_codemultilingualarxiv:2407.15831license:othertext-embeddings-inferenceendpoints_compatibleregion:us