bryordas/g-20-10-3.6-4

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The bryordas/g-20-10-3.6-4 is an 8 billion parameter Llama 3.1 instruction-tuned model developed by bryordas. 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 robust performance.

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Model Overview

The bryordas/g-20-10-3.6-4 is an 8 billion parameter instruction-tuned language model developed by bryordas. It is based on the Llama 3.1 architecture, specifically finetuned from unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit. This model leverages the Unsloth library and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.

Key Characteristics

  • Architecture: Llama 3.1 base model.
  • Parameter Count: 8 billion parameters.
  • Training Efficiency: Utilizes Unsloth for accelerated finetuning, resulting in 2x faster training.
  • License: Distributed under the Apache-2.0 license.

Use Cases

This model is suitable for a variety of general instruction-following tasks, benefiting from the robust capabilities of the Llama 3.1 series. Its efficient training process suggests it could be a good candidate for applications requiring a powerful yet resource-optimized language model.