SHIKARI2/calvras-llama-3.1-8b-marketing

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 27, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

SHIKARI2/calvras-llama-3.1-8b-marketing is an 8 billion parameter Llama 3.1 instruction-tuned model, finetuned by SHIKARI2. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language understanding and generation tasks, leveraging the Llama 3.1 architecture for efficient performance.

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SHIKARI2/calvras-llama-3.1-8b-marketing Overview

This model is an 8 billion parameter instruction-tuned variant of the Llama 3.1 architecture, developed by SHIKARI2. It was finetuned from the unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit base model, leveraging the Unsloth library for accelerated training. The use of Unsloth, in conjunction with Huggingface's TRL library, allowed for a reported 2x speedup in the training process.

Key Characteristics

  • Base Model: Finetuned from Meta-Llama-3.1-8B-Instruct.
  • Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
  • Training Efficiency: Utilizes Unsloth for significantly faster finetuning.
  • Context Length: Supports an 8192-token context window.

Potential Use Cases

This model is suitable for a variety of natural language processing tasks where the Llama 3.1 instruction-tuned capabilities are beneficial. Its efficient training process suggests it could be a good candidate for applications requiring rapid iteration or deployment on resource-constrained environments.

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