lamrin8224/llama-3-8b-chat-doctor

Hugging Face
TEXT GENERATIONPricing:Input $0.108 / Output $0.804Concurrent Unit Cost:1Model Size:1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 26, 2024Architecture:Transformer Featherless Exclusive Warm

The lamrin8224/llama-3-8b-chat-doctor is a 1 billion parameter language model with a 32768 token context length. This model is based on the Llama 3 architecture and is designed for chat-based applications, likely fine-tuned for conversational interactions. Its primary use case is to serve as a doctor-like conversational agent, providing information or engaging in dialogue within a medical or health-related context.

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Model Overview

The lamrin8224/llama-3-8b-chat-doctor is a 1 billion parameter language model built upon the Llama 3 architecture, featuring a substantial context length of 32768 tokens. This model is specifically designed for chat applications, with an apparent specialization in medical or health-related conversational contexts, suggesting a fine-tuning process aimed at doctor-like interactions.

Key Characteristics

  • Architecture: Llama 3 base model.
  • Parameter Count: 1 billion parameters, indicating a relatively compact yet capable model.
  • Context Length: Supports a long context window of 32768 tokens, allowing for extended and coherent conversations.
  • Intended Use: Optimized for chat-based interactions, particularly in a "doctor" persona.

Potential Use Cases

  • Medical Information Retrieval: Answering user queries related to health conditions, symptoms, or general medical knowledge.
  • Patient Support: Providing conversational support or guidance in a healthcare setting.
  • Educational Tool: Assisting users in understanding medical concepts through dialogue.

Limitations

As indicated by the model card, specific details regarding its development, training data, evaluation, biases, risks, and precise capabilities are currently marked as "More Information Needed." Users should exercise caution and verify any information provided by the model, especially in critical applications, until further documentation becomes available.