Lorion4815/taxmate-lk-merged

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 13, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Lorion4815/taxmate-lk-merged is an 8 billion parameter Llama 3.1 instruction-tuned causal language model developed by Lorion4815. This model was finetuned 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

Lorion4815/taxmate-lk-merged is an 8 billion parameter instruction-tuned language model, developed by Lorion4815. It is finetuned from the unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit base model, leveraging the Llama 3.1 architecture. A key characteristic of this model's development is its training process, which utilized Unsloth and Huggingface's TRL library, enabling significantly faster finetuning.

Key Capabilities

  • Instruction Following: Designed to excel at understanding and executing a wide range of user instructions.
  • Efficient Training: Benefits from the Unsloth framework, which allows for 2x faster training compared to standard methods.
  • Llama 3.1 Foundation: Built upon the robust and capable Meta Llama 3.1 architecture, providing a strong base for general language tasks.

When to Use This Model

This model is suitable for applications requiring a capable 8B parameter instruction-tuned model, particularly when efficiency in training or deployment is a consideration due to its Unsloth optimization. It can be applied to various natural language processing tasks where a strong instruction-following ability is beneficial.

Finetunes
1 models