giovannidemuri/llama3b-llama8b-er-v44-jb-seed2-seed2-alpacaGPT4

TEXT GENERATIONPricing:Input $0.2036 / Output $1.34Concurrent Unit Cost:1Model Size:3.2BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 12, 2025Architecture:Transformer Featherless Exclusive Cold

The giovannidemuri/llama3b-llama8b-er-v44-jb-seed2-seed2-alpacaGPT4 model is a 3.2 billion parameter language model. This model is based on the Llama3 architecture, fine-tuned with an AlpacaGPT4 dataset. Its specific differentiators and primary use cases are not detailed in the provided model card, which indicates that more information is needed regarding its development, training, and intended applications.

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Model Overview

This model, giovannidemuri/llama3b-llama8b-er-v44-jb-seed2-seed2-alpacaGPT4, is a 3.2 billion parameter language model. It is identified as a Hugging Face transformers model, automatically pushed to the Hub. The model card indicates that it is based on the Llama3 architecture and has been fine-tuned using an AlpacaGPT4 dataset, suggesting a focus on instruction-following or conversational capabilities.

Key Characteristics

  • Parameter Count: 3.2 billion parameters.
  • Context Length: 32768 tokens.
  • Architecture: Derived from the Llama3 family.
  • Fine-tuning: Utilizes an AlpacaGPT4 dataset, typically associated with instruction-tuned models.

Current Status and Limitations

As per the provided model card, significant details regarding the model's development, specific training data, evaluation results, and intended use cases are currently marked as "More Information Needed." This includes details on its developers, funding, specific language support, license, and any upstream models it was fine-tuned from. Consequently, detailed insights into its performance, biases, risks, and optimal applications are not yet available. Users are advised to await further updates for comprehensive guidance on its direct and downstream uses.

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