kairawal/Llama-3.1-8B-Instruct-HI-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-HI-SynthDolly-r16alpha32-E3-S73 is an 8 billion parameter instruction-tuned Llama 3.1 model, developed by kairawal. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is designed for general instruction-following tasks, leveraging its Llama 3.1 base and efficient fine-tuning process.

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Model Overview

The kairawal/Llama-3.1-8B-Instruct-HI-SynthDolly-r16alpha32-E3-S73 is an 8 billion parameter instruction-tuned language model. It is based on the Meta-Llama-3.1-8B-Instruct architecture and was developed by kairawal.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct.
  • Efficient Training: Utilizes Unsloth and Huggingface's TRL library, resulting in a 2x speedup during the fine-tuning process.
  • Parameter Count: Features 8 billion parameters, offering a balance between performance and computational efficiency.
  • Context Length: Supports a context length of 32768 tokens.

Use Cases

This model is suitable for a variety of instruction-following applications, benefiting from its Llama 3.1 foundation and optimized training. Its efficient fine-tuning process suggests potential for rapid iteration and deployment in scenarios requiring a capable 8B instruction model.

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