Abuzar03/Llama-3.1-8B-bnb-4bit-python
Abuzar03/Llama-3.1-8B-bnb-4bit-python is an 8 billion parameter Llama-3.1 model developed by Abuzar03, fine-tuned from unsloth/Meta-Llama-3.1-8B-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its efficient fine-tuning process.
Loading preview...
Model Overview
Abuzar03/Llama-3.1-8B-bnb-4bit-python is an 8 billion parameter language model, fine-tuned by Abuzar03. It is based on the Meta-Llama-3.1 architecture and specifically fine-tuned from unsloth/Meta-Llama-3.1-8B-bnb-4bit.
Key Characteristics
- Efficient Training: This model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Parameter Count: With 8 billion parameters, it offers a balance between performance and computational efficiency.
- Context Length: The model supports a context length of 32768 tokens, allowing it to process and generate longer sequences of text.
- License: Distributed under the Apache-2.0 license, providing flexibility for various applications.
Use Cases
This model is suitable for a wide range of general language understanding and generation tasks, benefiting from its efficient fine-tuning and substantial context window. Its optimized training process makes it a practical choice for developers looking for a capable Llama-3.1 variant.