bryordas/g-20-16-3-6e-4

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 4, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The bryordas/g-20-16-3-6e-4 is an 8 billion parameter Llama 3.1 instruction-tuned causal language model developed by bryordas. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is optimized for general instruction-following tasks, leveraging the Llama 3.1 architecture for robust performance.

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Model Overview

The bryordas/g-20-16-3-6e-4 is an 8 billion parameter instruction-tuned language model developed by bryordas. It is based on the unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit model, indicating its foundation in the Llama 3.1 architecture.

Key Characteristics

  • Architecture: Fine-tuned from Meta Llama 3.1, providing a strong base for general language understanding and generation.
  • Training Efficiency: This model was fine-tuned using Unsloth and Huggingface's TRL library, which significantly accelerates the training process (reported as 2x faster).
  • Parameter Count: With 8 billion parameters, it offers a balance between performance and computational requirements.

Use Cases

This model is suitable for a variety of instruction-following tasks, benefiting from its Llama 3.1 lineage and efficient fine-tuning. Its optimized training process suggests it could be a good candidate for applications requiring a capable instruction-tuned model without excessive resource demands.

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