V3N0M/Aisha-Llama-3.1-8B-Complete
Aisha-Llama-3.1-8B-Complete is an 8 billion parameter language model, fine-tuned by V3N0M and converted to GGUF format using Unsloth. This model is based on the Llama 3.1 architecture and supports a 32768 token context length. It is optimized for efficient deployment and usage, particularly with tools like llama.cpp and Ollama, making it suitable for local inference applications.
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Aisha-Llama-3.1-8B-Complete Overview
Aisha-Llama-3.1-8B-Complete is an 8 billion parameter language model developed by V3N0M. It is a fine-tuned variant of the Llama 3.1 architecture, specifically optimized for efficient deployment and local inference. The model was fine-tuned and converted into the GGUF format using Unsloth, a framework known for accelerating training processes.
Key Characteristics
- Architecture: Based on the Llama 3.1 family.
- Parameter Count: 8 billion parameters.
- Context Length: Supports a 32768 token context window.
- Format: Provided in GGUF format, enabling compatibility with
llama.cppand similar inference engines. - Optimization: Fine-tuned with Unsloth, indicating potential for faster training and efficient inference.
Deployment and Usage
This model is designed for straightforward deployment, particularly for users leveraging llama.cpp or Ollama. An Ollama Modelfile is included to facilitate easy setup. Example usage commands are provided for both text-only and multimodal llama.cpp CLI applications, highlighting its readiness for various local inference tasks.