bryordas/g-20-13-3-6e-4

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 9, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The bryordas/g-20-13-3-6e-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-20-13-3-6e-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 architecture, indicating its foundation in the Llama 3.1 family.

Key Characteristics

  • Architecture: Finetuned from unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit, leveraging the Llama 3.1 base.
  • Training Efficiency: This model was finetuned with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
  • Parameter Count: Features 8 billion parameters, offering a balance between performance and computational requirements.
  • Context Length: Supports a context length of 32768 tokens, suitable for processing moderately long inputs.

Intended Use Cases

This model is suitable for a variety of instruction-following tasks where the Llama 3.1 architecture is beneficial. Its efficient finetuning process suggests it could be a good candidate for applications requiring a capable instruction-tuned model without extensive retraining from scratch.

Finetunes
1 models