invosmartplay/Llama-3.1-8B-Alpaca-Indo-LR5e5-update
The invosmartplay/Llama-3.1-8B-Alpaca-Indo-LR5e5-update is an 8 billion parameter Llama 3.1 model developed by invosmartplay, fine-tuned from unsloth/llama-3.1-8b-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed for general language tasks, leveraging its Llama 3.1 architecture and 32768 token context length.
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Model Overview
The invosmartplay/Llama-3.1-8B-Alpaca-Indo-LR5e5-update is an 8 billion parameter language model developed by invosmartplay. It is fine-tuned from the unsloth/llama-3.1-8b-unsloth-bnb-4bit base model, leveraging the Llama 3.1 architecture.
Key Characteristics
- Architecture: Based on the Llama 3.1 model family.
- Parameter Count: Features 8 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a substantial context window of 32768 tokens, allowing for processing longer inputs and generating more coherent, extended responses.
- Training Methodology: This model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
Potential Use Cases
Given its Llama 3.1 foundation and fine-tuning, this model is suitable for a variety of natural language processing tasks, including:
- Text generation and completion.
- Question answering.
- Summarization.
- Conversational AI applications.
Licensing
The model is released under the Apache-2.0 license, providing broad permissions for use, modification, and distribution.