tussiiiii/llmcmp-distill-llama3-8b-lora-v5r-selective-continue-v5a-merged
The tussiiiii/llmcmp-distill-llama3-8b-lora-v5r-selective-continue-v5a-merged model is an 8 billion parameter Llama 3-based language model developed by tussiiiii. It was fine-tuned using Unsloth and Huggingface's TRL library, building upon the tussiiiii/llmcmp-distill-llama3-8b-lora-v5a-no-rationale-long-ab-swap-merged model. This model is notable for its efficient training process, achieving 2x faster training speeds.
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Model Overview
The tussiiiii/llmcmp-distill-llama3-8b-lora-v5r-selective-continue-v5a-merged is an 8 billion parameter language model based on the Llama 3 architecture, developed by tussiiiii. This model is a fine-tuned iteration, building upon the tussiiiii/llmcmp-distill-llama3-8b-lora-v5a-no-rationale-long-ab-swap-merged base.
Key Characteristics
- Architecture: Llama 3-based, 8 billion parameters.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training speed compared to conventional methods.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is suitable for applications requiring a Llama 3-based model with 8 billion parameters, particularly where efficient fine-tuning methods are of interest. Its development with Unsloth suggests potential benefits for researchers and developers looking for optimized training workflows.