nikinetrahutama/afx-ai-llama-chat-model-3

TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kArchitecture:Transformer Cold

The nikinetrahutama/afx-ai-llama-chat-model-3 is a 7 billion parameter language model. This model is based on the Llama architecture and is designed for chat-based applications. Further specific details regarding its training, unique differentiators, or primary use cases are not provided in the available documentation.

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Model Overview

The nikinetrahutama/afx-ai-llama-chat-model-3 is a 7 billion parameter model, likely based on the Llama architecture, intended for chat applications. The provided model card is a template, indicating that specific details about its development, training, and unique characteristics are currently not available.

Key Characteristics

  • Parameter Count: 7 billion parameters.
  • Context Length: 4096 tokens.
  • Architecture: Implied Llama-based, suitable for conversational AI.

Limitations and Recommendations

Due to the template nature of the model card, detailed information regarding the model's specific biases, risks, and limitations is not provided. Users are advised to be aware of potential risks and biases inherent in large language models. Further recommendations are pending more comprehensive documentation from the developer.

Usage

While specific direct and downstream use cases are not detailed, its "chat-model" designation suggests suitability for conversational AI tasks. Users should consult updated documentation for guidance on optimal use and integration.