Shafkat66/medical-base-model

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Shafkat66/medical-base-model is an 8 billion parameter Llama-3 based language model developed by Shafkat66, fine-tuned for medical applications. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed to provide specialized language understanding and generation within the medical domain.

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Model Overview

Shafkat66/medical-base-model is an 8 billion parameter language model, developed by Shafkat66. It is built upon the Llama-3 architecture and has been specifically fine-tuned for applications within the medical domain.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/llama-3-8b-bnb-4bit.
  • Training Efficiency: The model was trained significantly faster using the Unsloth library in conjunction with Huggingface's TRL library.
  • Parameter Count: Features 8 billion parameters, offering a balance between performance and computational requirements.
  • Context Length: Supports a context length of 8192 tokens.

Intended Use Cases

This model is primarily intended for tasks requiring specialized language understanding and generation in medical contexts. Developers can leverage its fine-tuned knowledge for applications such as:

  • Medical text analysis.
  • Generating medical summaries.
  • Assisting with medical information retrieval.

License

The model is released under the Apache-2.0 license.

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