kairawal/Llama-3.1-8B-Instruct-EN-SynthDolly-r16alpha32-E3-S9

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-E3-S9 is an 8 billion parameter instruction-tuned language model, fine-tuned by kairawal from Meta's Llama-3.1-8B-Instruct. This model leverages Unsloth and Huggingface's TRL library for accelerated training, making it a performant option for general instruction-following tasks. Its 32768 token context length supports processing extensive inputs and generating detailed responses.

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Model Overview

The kairawal/Llama-3.1-8B-Instruct-EN-SynthDolly-r16alpha32-E3-S9 is an 8 billion parameter instruction-tuned language model developed by kairawal. It is fine-tuned from the Meta-Llama-3.1-8B-Instruct base model, utilizing the Unsloth library for 2x faster training and Huggingface's TRL library.

Key Characteristics

  • Base Model: Fine-tuned from Meta's Llama-3.1-8B-Instruct.
  • Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
  • Training Efficiency: Benefits from Unsloth's optimization for accelerated fine-tuning.
  • Context Length: Supports a 32768 token context window, suitable for handling longer prompts and generating comprehensive outputs.

Use Cases

This model is well-suited for a variety of instruction-following applications, including:

  • General conversational AI.
  • Text generation and summarization.
  • Question answering.
  • Tasks requiring understanding and adherence to specific instructions.