Jes090782/model-finetune-grace
Jes090782/model-finetune-grace is an 8 billion parameter Llama 3 instruction-tuned model, developed by Jes090782. This model was finetuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process. It is optimized for general instruction-following tasks, leveraging its Llama 3 architecture and 8192 token context length. The model is suitable for applications requiring efficient and responsive language generation.
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Model Overview
Jes090782/model-finetune-grace is an 8 billion parameter instruction-tuned language model, developed by Jes090782. It is finetuned from the unsloth/llama-3-8b-Instruct-bnb-4bit base model, leveraging the Llama 3 architecture for robust performance in conversational and instruction-following tasks. The model was trained with a focus on efficiency, utilizing Unsloth and Huggingface's TRL library, which enabled a 2x faster training process.
Key Characteristics
- Base Model: Finetuned from Llama 3 8B Instruct.
- Training Efficiency: Achieved 2x faster training using Unsloth and Huggingface TRL.
- Parameter Count: 8 billion parameters.
- Context Length: Supports an 8192 token context window.
- License: Released under the Apache-2.0 license.
Intended Use Cases
This model is well-suited for a variety of applications requiring an efficient and capable instruction-following LLM, including:
- General-purpose conversational AI.
- Text generation based on specific instructions.
- Prototyping and development where faster training and deployment are beneficial.
- Applications requiring a balance of performance and resource efficiency.