kairawal/Llama-3.1-8B-Instruct-TL-SynthDolly-r16alpha32-E3-S73

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:May 16, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The kairawal/Llama-3.1-8B-Instruct-TL-SynthDolly-r16alpha32-E3-S73 is an 8 billion parameter instruction-tuned Llama 3.1 model developed by kairawal. It was finetuned from unsloth/Meta-Llama-3.1-8B-Instruct using Unsloth and Huggingface's TRL library, enabling faster training. This model is optimized for general instruction-following tasks, leveraging its Llama 3.1 base and efficient finetuning process.

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Model Overview

This model, kairawal/Llama-3.1-8B-Instruct-TL-SynthDolly-r16alpha32-E3-S73, is an 8 billion parameter instruction-tuned variant of the Meta-Llama-3.1-8B-Instruct base model. Developed by kairawal, it leverages efficient finetuning techniques to enhance its performance for conversational and instruction-following applications.

Key Characteristics

  • Base Model: Finetuned from unsloth/Meta-Llama-3.1-8B-Instruct, inheriting the strong capabilities of the Llama 3.1 architecture.
  • Efficient Training: The model was trained using Unsloth and Huggingface's TRL library, which facilitates faster finetuning processes.
  • Parameter Count: Features 8 billion parameters, offering a balance between performance and computational efficiency.

Intended Use Cases

This model is suitable for a variety of general-purpose instruction-following tasks, including:

  • Chatbot applications
  • Text generation based on prompts
  • Question answering
  • Summarization

Its efficient training methodology suggests it could be a good candidate for developers looking for a performant Llama 3.1 derivative with optimized training characteristics.

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