aliRafik/Meta_Llama_3.1_8B_alpaca_16bit

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 18, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

aliRafik/Meta_Llama_3.1_8B_alpaca_16bit is an 8 billion parameter language model developed by aliRafik, fine-tuned from Meta Llama 3.1. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is optimized for general language tasks, leveraging the Llama 3.1 architecture for broad applicability.

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Model Overview

aliRafik/Meta_Llama_3.1_8B_alpaca_16bit is an 8 billion parameter language model developed by aliRafik. It is a fine-tuned variant of the Meta Llama 3.1 base model, specifically utilizing the unsloth/meta-llama-3.1-8b-unsloth-bnb-4bit checkpoint as its foundation. The fine-tuning process was accelerated using the Unsloth library in conjunction with Huggingface's TRL library, which is designed to optimize training efficiency.

Key Characteristics

  • Base Model: Fine-tuned from Meta Llama 3.1 8B.
  • Training Efficiency: Leverages Unsloth for 2x faster training.
  • Parameter Count: 8 billion parameters.
  • License: Distributed under the Apache-2.0 license.

Potential Use Cases

This model is suitable for a variety of general-purpose natural language processing tasks, benefiting from the robust capabilities of the Llama 3.1 architecture and the optimized training approach.

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