kairawal/Llama-3.1-8B-Instruct-EN-SynthDolly-r16alpha32-E5-S3407

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

The kairawal/Llama-3.1-8B-Instruct-EN-SynthDolly-r16alpha32-E5-S3407 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 faster training. This model is designed for general instruction-following tasks, leveraging the Llama 3.1 architecture for robust performance.

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Model Overview

The kairawal/Llama-3.1-8B-Instruct-EN-SynthDolly-r16alpha32-E5-S3407 is an 8 billion parameter instruction-tuned language model, building upon the Meta-Llama-3.1-8B-Instruct base. Developed by kairawal, this model was fine-tuned using the Unsloth library and Huggingface's TRL library, which facilitated a 2x faster training process.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct.
  • Training Efficiency: Leverages Unsloth for accelerated fine-tuning.
  • Parameter Count: 8 billion parameters.
  • Context Length: Supports a context length of 32768 tokens.
  • License: Released under the Apache-2.0 license.

Intended Use Cases

This model is suitable for a variety of instruction-following applications, benefiting from the Llama 3.1 architecture and efficient fine-tuning. Its design makes it a strong candidate for tasks requiring robust language understanding and generation capabilities, particularly where faster deployment of fine-tuned models is advantageous.