Nina2811aw/Llama-3-1-70B-incorrect-trivia-5
Nina2811aw/Llama-3-1-70B-incorrect-trivia-5 is a 70 billion parameter Llama-3.1 instruction-tuned model developed by Nina2811aw, fine-tuned from unsloth/meta-llama-3.1-70b-instruct-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. With a 32768 token context length, it is designed for general instruction-following tasks.
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Model Overview
Nina2811aw/Llama-3-1-70B-incorrect-trivia-5 is a 70 billion parameter instruction-tuned language model developed by Nina2811aw. It is fine-tuned from the unsloth/meta-llama-3.1-70b-instruct-bnb-4bit base model, leveraging the Llama-3.1 architecture.
Key Characteristics
- Parameter Count: 70 billion parameters, offering substantial capacity for complex tasks.
- Context Length: Supports a context window of 32768 tokens, enabling processing of longer inputs and generating more extensive responses.
- Training Efficiency: The model was fine-tuned with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Use Cases
This model is suitable for a wide range of instruction-following applications, benefiting from its large parameter count and extended context window. Its efficient training process highlights potential for rapid iteration and deployment in various NLP tasks.