stsirtsis/llama-3.1-8b-ES-SynthDolly-1A
stsirtsis/llama-3.1-8b-ES-SynthDolly-1A is an 8 billion parameter Llama 3.1 instruction-tuned model developed by stsirtsis, featuring a 32,768 token context length. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language understanding and generation tasks, leveraging the Llama 3.1 architecture.
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Model Overview
stsirtsis/llama-3.1-8b-ES-SynthDolly-1A is an 8 billion parameter language model, fine-tuned from the unsloth/llama-3.1-8b-Instruct base model. Developed by stsirtsis, this model leverages the Llama 3.1 architecture and supports a substantial context length of 32,768 tokens.
Key Characteristics
- Architecture: Based on the Llama 3.1 instruction-tuned model.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Features a 32,768 token context window, suitable for processing longer inputs and generating more coherent, extended responses.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Intended Use Cases
This model is suitable for a variety of general-purpose natural language processing tasks, including:
- Instruction following and response generation.
- Text summarization and content creation.
- Conversational AI and chatbots.
- Tasks requiring understanding of longer contexts due to its extended context window.