ConnorRRC/Llama-3.1-8B-Instruct-V1-Model

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Mar 13, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

ConnorRRC/Llama-3.1-8B-Instruct-V1-Model is an 8 billion parameter instruction-tuned Llama 3.1 model developed by ConnorRRC. This model was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging the Llama 3.1 architecture for efficient performance.

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Model Overview

ConnorRRC/Llama-3.1-8B-Instruct-V1-Model is an 8 billion parameter instruction-tuned model based on the Llama 3.1 architecture. Developed by ConnorRRC, this model was finetuned using the Unsloth library and Huggingface's TRL library, which significantly accelerated its training process by 2x.

Key Characteristics

  • Base Model: Llama 3.1-8B-Instruct
  • Finetuning: Utilizes Unsloth for efficient and faster training.
  • License: Released under the Apache 2.0 license.

Use Cases

This model is suitable for a wide range of instruction-following applications, benefiting from the Llama 3.1 foundation and optimized training. Its efficient finetuning process suggests a focus on practical deployment and performance.

Finetunes
2 models