TInkybala/llama-3.1-8b-finetune-test-merged

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 10, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

TInkybala/llama-3.1-8b-finetune-test-merged is an 8 billion parameter Llama 3.1 model developed by TInkybala. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging the Llama 3.1 architecture for efficient performance.

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Model Overview

TInkybala/llama-3.1-8b-finetune-test-merged is an 8 billion parameter language model developed by TInkybala. It is based on the Llama 3.1 architecture, specifically fine-tuned from unsloth/meta-llama-3.1-8b-unsloth-bnb-4bit.

Key Characteristics

  • Efficient Fine-tuning: This model was fine-tuned using Unsloth and Huggingface's TRL library, which significantly accelerated the training process by making it 2x faster.
  • Llama 3.1 Base: Benefits from the robust capabilities and performance of the Llama 3.1 foundational model.
  • Parameter Count: With 8 billion parameters, it offers a balance between performance and computational efficiency.

Intended Use Cases

This model is suitable for a variety of general natural language processing tasks where the Llama 3.1 architecture is beneficial. Its efficient fine-tuning process suggests it could be a good candidate for applications requiring custom adaptations of Llama 3.1 with reduced training time.

Finetunes
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