invosmartplay/Llama-3.1-8B-Alpaca-Indo-GRPO-update
The invosmartplay/Llama-3.1-8B-Alpaca-Indo-GRPO-update is an 8 billion parameter Llama-3.1 model, developed by invosmartplay, and fine-tuned from invosmartplay/Llama-3.1-8B-Alpaca-Indo-LR2e4. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its Llama-3.1 base and fine-tuning for improved performance.
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Model Overview
The invosmartplay/Llama-3.1-8B-Alpaca-Indo-GRPO-update is an 8 billion parameter language model, fine-tuned by invosmartplay. It is based on the Llama-3.1 architecture and specifically fine-tuned from the invosmartplay/Llama-3.1-8B-Alpaca-Indo-LR2e4 model.
Key Characteristics
- Architecture: Llama-3.1 base model.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Utilizes Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Context Length: Supports a context length of 32768 tokens.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is suitable for a variety of general language understanding and generation tasks, benefiting from its Llama-3.1 foundation and specialized fine-tuning. Its efficient training methodology suggests potential for rapid iteration and deployment in applications requiring a capable 8B parameter model.