robbyulawal11/pgabl-gemma2-2b-uu-sft
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 3, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The robbyulawal11/pgabl-gemma2-2b-uu-sft is an 8 billion parameter Llama-3.1 model, fine-tuned by robbyulawal11. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed for general language tasks, leveraging its Llama-3.1 architecture for broad applicability.
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Overview
The robbyulawal11/pgabl-gemma2-2b-uu-sft is an 8 billion parameter language model, developed by robbyulawal11. It is based on the Llama-3.1 architecture, specifically fine-tuned from unsloth/llama-3.1-8b-unsloth-bnb-4bit. This model leverages Unsloth and Huggingface's TRL library for its training process, which facilitated a 2x faster fine-tuning compared to standard methods.
Key Capabilities
- Llama-3.1 Architecture: Benefits from the robust and versatile Llama-3.1 base model.
- Efficient Fine-tuning: Utilizes Unsloth for accelerated training, indicating potential for rapid adaptation and deployment.
- General Purpose: Suitable for a wide range of natural language processing tasks due to its foundational architecture.
Good For
- Experimentation: Ideal for developers looking to experiment with a Llama-3.1 based model that has undergone efficient fine-tuning.
- Applications requiring Llama-3.1: Can be integrated into applications that benefit from the performance characteristics of the Llama-3.1 family.
- Research into Efficient Training: Provides a practical example of a model fine-tuned with Unsloth, which could be useful for research into efficient LLM training methodologies.