shawallatif/ShawalTwin-Llama-3.1-8B

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kTool Calling:SupportedPublished:Jun 30, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The ShawalTwin-Llama-3.1-8B is an 8 billion parameter Llama 3.1 model developed by shawallatif, fine-tuned using Unsloth and Huggingface's TRL library. This model benefits from accelerated training, making it efficient for various natural language processing tasks. It is designed for general-purpose applications requiring a capable and optimized language model.

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Model Overview

The ShawalTwin-Llama-3.1-8B is an 8 billion parameter language model developed by shawallatif. It is fine-tuned from the unsloth/llama-3.1-8b-unsloth-bnb-4bit base model, leveraging the Unsloth library for accelerated training. This optimization allows for faster fine-tuning processes compared to standard methods, making it an efficient choice for developers.

Key Characteristics

  • Base Architecture: Llama 3.1
  • Parameter Count: 8 billion parameters
  • Training Efficiency: Utilizes Unsloth and Huggingface's TRL library for 2x faster training.
  • License: Apache-2.0, allowing for broad usage and distribution.

Potential Use Cases

This model is suitable for a range of applications where an 8B parameter Llama 3.1 model is appropriate, particularly when training efficiency is a consideration. It can be applied to tasks such as:

  • Text generation and completion
  • Summarization
  • Question answering
  • Chatbot development

Finetunes
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