giovannidemuri/llama3b-llama8b-er-v110-jb-seed2-seed2-sharegpt-50k

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-v110-jb-seed2-seed2-sharegpt-50k model is a 3.2 billion parameter language model. This model is part of the Llama family, though specific fine-tuning details are not provided. It features a substantial context length of 32768 tokens, indicating its capability to process and generate longer sequences of text. The primary differentiators and specific use cases are not detailed in the available information.

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Model Overview

This model, giovannidemuri/llama3b-llama8b-er-v110-jb-seed2-seed2-sharegpt-50k, is a 3.2 billion parameter language model. It is based on the Llama architecture and is designed to handle a significant amount of input with a context length of 32768 tokens. The model card indicates that it has been pushed to the Hugging Face Hub as a 🤗 transformers model.

Key Characteristics

  • Parameter Count: 3.2 billion parameters.
  • Context Length: Supports a substantial context window of 32768 tokens, allowing for processing and generation of longer texts.
  • Architecture: Derived from the Llama model family.

Use Cases

Due to the limited information provided in the model card, specific direct or downstream use cases are not detailed. However, models of this size and context length are generally suitable for a variety of natural language processing tasks, including text generation, summarization, and question answering, especially when long-form content is involved. Users should be aware that the model's specific strengths and optimal applications are not explicitly defined.