kairawal/Llama-3.1-8B-Instruct-EN-SynthDolly-r16alpha32-E5-S9

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:May 23, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The kairawal/Llama-3.1-8B-Instruct-EN-SynthDolly-r16alpha32-E5-S9 is an 8 billion parameter instruction-tuned Llama 3.1 model, fine-tuned by kairawal. It was trained using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for general instruction-following tasks, leveraging the Llama 3.1 architecture for robust performance.

Loading preview...

Model Overview

The kairawal/Llama-3.1-8B-Instruct-EN-SynthDolly-r16alpha32-E5-S9 is an 8 billion parameter instruction-tuned language model, developed by kairawal. It is based on the Meta-Llama-3.1-8B-Instruct architecture and was fine-tuned using a combination of Unsloth and Huggingface's TRL library. A key differentiator of this model is its optimized training process, which was reportedly 2x faster due to the use of Unsloth.

Key Characteristics

  • Base Model: Meta-Llama-3.1-8B-Instruct
  • Parameter Count: 8 billion parameters
  • Training Optimization: Utilizes Unsloth for accelerated fine-tuning, resulting in 2x faster training times.
  • License: Distributed under the Apache-2.0 license.

Intended Use Cases

This model is suitable for a variety of general instruction-following applications, benefiting from the strong capabilities of the Llama 3.1 base model. Its efficient training process suggests a focus on practical deployment and iterative development. Developers looking for an 8B instruction-tuned model with a focus on efficient fine-tuning might find this model particularly useful.

Finetunes
1 models