Alpaca618/deploy-test

Hugging Face
TEXT GENERATIONConcurrent Unit Cost:1Model Size:1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 26, 2024License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Warm

Alpaca618/deploy-test is a Llama-3.2-1B-Instruct-based model developed by Alpaca618. This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in 2x faster training. It is designed for general instruction-following tasks, leveraging its Llama architecture for efficient performance.

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Overview

Alpaca618/deploy-test is an instruction-tuned language model developed by Alpaca618. It is based on the unsloth/Llama-3.2-1B-Instruct-bnb-4bit architecture, indicating its foundation in the Llama family of models. A key characteristic of this model is its training methodology, which utilized Unsloth and Huggingface's TRL library. This combination allowed for a reported 2x faster training process compared to standard methods.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/Llama-3.2-1B-Instruct-bnb-4bit.
  • Developer: Alpaca618.
  • Training Efficiency: Achieved 2x faster training using Unsloth and Huggingface's TRL library.
  • License: Released under the Apache-2.0 license.

Good For

This model is suitable for developers looking for a Llama-based instruction-following model that benefits from optimized training techniques. Its faster training time suggests potential for rapid iteration and deployment in scenarios where efficiency is crucial, particularly for tasks aligned with the Llama-3.2-1B-Instruct's capabilities.

Finetunes
6 models