itims/llama-3.1-8b-finetuned
The itims/llama-3.1-8b-finetuned model is an 8 billion parameter Llama 3.1-based language model developed by itims. It was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is optimized for tasks benefiting from efficient Llama 3.1 architecture and its 32768 token context length.
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Model Overview
The itims/llama-3.1-8b-finetuned is an 8 billion parameter language model based on the Llama 3.1 architecture. Developed by itims, this model was finetuned from unsloth/llama-3.1-8b-unsloth-bnb-4bit.
Key Characteristics
- Architecture: Llama 3.1 base model.
- Parameter Count: 8 billion parameters.
- Context Length: Supports a context window of 32768 tokens.
- Training Efficiency: Finetuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Intended Use Cases
This model is suitable for applications requiring a capable 8B parameter model with the Llama 3.1 architecture. Its efficient finetuning process suggests potential for rapid adaptation to specific tasks or datasets. Developers can leverage its 32768 token context for handling longer inputs and generating more coherent, extended outputs.