hasithanilwakka/ghostwriter-llama31-8b-merged

TEXT GENERATIONPricing:Input $0.2 / Cached $0.028 / Output $0.32Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 10, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

hasithanilwakka/ghostwriter-llama31-8b-merged is an 8 billion parameter Llama 3.1 instruction-tuned model developed by hasithanilwakka. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging the Llama 3.1 architecture for robust performance.

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Model Overview

hasithanilwakka/ghostwriter-llama31-8b-merged is an 8 billion parameter language model, fine-tuned by hasithanilwakka. It is based on the Llama 3.1 architecture, specifically unsloth/Llama-3.1-8B-Instruct-unsloth-bnb-4bit, and was trained using the Unsloth library in conjunction with Huggingface's TRL library.

Key Characteristics

  • Architecture: Llama 3.1-8B-Instruct, providing a strong foundation for instruction-following tasks.
  • Training Efficiency: Fine-tuned with Unsloth, which is known for accelerating the training process, achieving up to 2x faster training speeds.
  • Context Length: Supports a context length of 32768 tokens, allowing for processing and generating longer sequences of text.

Use Cases

This model is suitable for a variety of natural language processing applications, particularly those benefiting from the Llama 3.1 instruction-tuned capabilities. Its efficient fine-tuning process suggests it could be a good candidate for developers looking to deploy Llama 3.1-based models with optimized training.

License

The model is released under the Apache 2.0 license.

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