Lathif25/Model-LLM-Finetuned
Lathif25/Model-LLM-Finetuned is an 8 billion parameter Llama 3.1-based causal language model developed by Lathif25. This model was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its efficient finetuning process to provide a capable and accessible LLM.
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Model Overview
Lathif25/Model-LLM-Finetuned is an 8 billion parameter language model based on the Llama 3.1 architecture. Developed by Lathif25, this model was finetuned using a combination of Unsloth and Huggingface's TRL library. This specific finetuning approach allowed for a reported 2x faster training process compared to standard methods.
Key Characteristics
- Base Model: Finetuned from
unsloth/llama-3.1-8b-unsloth-bnb-4bit. - Parameter Count: 8 billion parameters.
- Training Efficiency: Utilizes Unsloth for accelerated training.
- Context Length: Supports a context length of 32768 tokens.
Use Cases
This model is suitable for a variety of general language understanding and generation tasks, benefiting from its Llama 3.1 foundation and efficient finetuning. Its optimized training process makes it a practical choice for developers looking for a capable 8B parameter model.