kairawal/Llama-3.1-8B-Instruct-EL-SynthDolly-1A-E1

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Apr 19, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

kairawal/Llama-3.1-8B-Instruct-EL-SynthDolly-1A-E1 is an 8 billion parameter instruction-tuned language model developed by kairawal, fine-tuned from Meta-Llama-3.1-8B-Instruct. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning. It is designed for general instruction-following tasks, leveraging the Llama 3.1 architecture with a 32768 token context length.

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Model Overview

kairawal/Llama-3.1-8B-Instruct-EL-SynthDolly-1A-E1 is an 8 billion parameter instruction-following language model, developed by kairawal. It is fine-tuned from the robust Meta-Llama-3.1-8B-Instruct base model, inheriting its strong foundational capabilities and a substantial 32768 token context length.

Key Characteristics

  • Base Model: Fine-tuned from Meta-Llama-3.1-8B-Instruct, part of the Llama 3.1 family.
  • Parameter Count: Features 8 billion parameters, offering a balance between performance and computational efficiency.
  • Training Efficiency: The fine-tuning process was accelerated by 2x using the Unsloth library in conjunction with Huggingface's TRL library, indicating an optimized training methodology.

Use Cases

This model is suitable for a variety of instruction-based tasks, benefiting from its Llama 3.1 lineage and efficient fine-tuning. Developers looking for an 8B parameter model with enhanced training speed and strong instruction-following capabilities may find this model particularly useful for applications requiring general-purpose language understanding and generation.