shashimsc/llama31-8b-listing
The shashimsc/llama31-8b-listing is an 8 billion parameter Llama 3.1 model, finetuned by shashimsc from unsloth/Llama-3.1-8B-Instruct-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 the Llama 3.1 architecture for efficient performance.
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Model Overview
The shashimsc/llama31-8b-listing is an 8 billion parameter language model, finetuned by shashimsc. It is based on the Llama 3.1 architecture, specifically finetuned from the unsloth/Llama-3.1-8B-Instruct-bnb-4bit model.
Key Characteristics
- Architecture: Llama 3.1, an advanced transformer-based large language model.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: This model was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Context Length: Supports a context window of 32768 tokens, allowing for processing longer inputs and generating more coherent, extended outputs.
Use Cases
This model is suitable for a variety of general-purpose language generation and understanding tasks, benefiting from its Llama 3.1 foundation and efficient finetuning. Its optimized training process suggests potential for applications where rapid iteration or deployment of finetuned models is advantageous.