Tales-Alves/Fine_Tuning_Bebidas
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jun 5, 2024License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Tales-Alves/Fine_Tuning_Bebidas is an 8 billion parameter Llama-3 model developed by Tales-Alves, fine-tuned using Unsloth and Huggingface's TRL library. This model is optimized for faster training, leveraging Unsloth's capabilities to accelerate the fine-tuning process. It is suitable for applications requiring a Llama-3 architecture with efficient training methods.
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Model Overview
The Tales-Alves/Fine_Tuning_Bebidas model is an 8 billion parameter Llama-3 variant, developed by Tales-Alves. It was fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library, enabling a significantly faster training process compared to standard methods. The base model for fine-tuning was unsloth/llama-3-8b-bnb-4bit.
Key Capabilities
- Efficient Fine-Tuning: Leverages Unsloth for accelerated training, making it suitable for developers looking to quickly adapt Llama-3 models.
- Llama-3 Architecture: Built upon the robust Llama-3 8B parameter foundation, offering strong general language understanding and generation capabilities.
- Apache-2.0 License: Provided under an Apache-2.0 license, allowing for broad use and distribution.
Good For
- Rapid Prototyping: Ideal for projects requiring quick iteration and fine-tuning of a Llama-3 model.
- Resource-Constrained Environments: The Unsloth optimization suggests potential benefits for training on more limited hardware.
- General Language Tasks: Suitable for a wide range of natural language processing applications where a Llama-3 8B model is appropriate.