kairawal/Llama-3.1-8B-Instruct-HI-SynthDolly-r16alpha32-E5-S73

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:May 22, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Warm

The kairawal/Llama-3.1-8B-Instruct-HI-SynthDolly-r16alpha32-E5-S73 is an 8 billion parameter instruction-tuned language model, finetuned by kairawal from Meta-Llama-3.1-8B-Instruct. This model was optimized for training speed using Unsloth and Huggingface's TRL library, offering efficient deployment for instruction-following tasks. It maintains a 32768 token context length, making it suitable for applications requiring substantial input processing.

Loading preview...

Model Overview

kairawal/Llama-3.1-8B-Instruct-HI-SynthDolly-r16alpha32-E5-S73 is an 8 billion parameter instruction-tuned language model, developed by kairawal. It is finetuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model and licensed under Apache-2.0. A key characteristic of this model is its optimized training process, which was achieved using Unsloth and Huggingface's TRL library, resulting in a 2x faster training time compared to standard methods.

Key Capabilities

  • Instruction Following: Designed to accurately follow instructions, making it suitable for a wide range of NLP tasks.
  • Efficient Training: Benefits from Unsloth's optimizations, allowing for faster fine-tuning and iteration cycles.
  • Llama 3.1 Architecture: Leverages the robust architecture of Meta's Llama 3.1 series.

Good For

  • Developers seeking an instruction-tuned model with efficient training origins.
  • Applications requiring a balance of performance and resource efficiency for instruction-based tasks.
  • Projects where rapid deployment and iteration of fine-tuned models are crucial.