giovannidemuri/llama3b-llama8b-er-v111-jb-seed2-seed2-alpacaGPT4

TEXT GENERATIONPricing:Input $0.2036 / Output $1.34Concurrent Unit Cost:1Model Size:3.2BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 13, 2025Architecture:Transformer Featherless Exclusive Cold

The giovannidemuri/llama3b-llama8b-er-v111-jb-seed2-seed2-alpacaGPT4 model is a 3.2 billion parameter language model. This model is a fine-tuned version of a base model, likely from the Llama family, and is designed for general language generation tasks. Its specific differentiators and primary use cases are not detailed in the provided model card, suggesting it is a foundational or experimental model.

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Model Overview

This model, giovannidemuri/llama3b-llama8b-er-v111-jb-seed2-seed2-alpacaGPT4, is a 3.2 billion parameter language model. It is presented as a Hugging Face Transformers model, automatically pushed to the Hub. The model card indicates it is a fine-tuned model, though the specific base model and the details of its fine-tuning are not provided.

Key Characteristics

  • Parameter Count: 3.2 billion parameters.
  • Context Length: 32768 tokens.
  • Development Status: The model card indicates that many details regarding its development, funding, specific type, language(s), license, and finetuning source are currently marked as "More Information Needed."

Intended Use and Limitations

The model card does not specify direct or downstream use cases, nor does it detail out-of-scope uses. Users are advised to be aware of potential risks, biases, and limitations, as these are also marked as requiring more information. Recommendations emphasize that users should be informed about these aspects.

Training and Evaluation

Details regarding the training data, procedure, hyperparameters, and evaluation metrics are not provided in the current model card. This suggests the model is either in an early stage of documentation or intended for specific, undocumented research purposes.

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