Neshaki/llama3.1-8b-java-chatbot-merged

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jun 28, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Neshaki/llama3.1-8b-java-chatbot-merged is an 8 billion parameter Llama 3.1 instruction-tuned model developed by Neshaki. This model is specifically fine-tuned for Java chatbot applications, leveraging Unsloth for accelerated training. It is optimized for conversational tasks within a Java development context, offering efficient performance for its size.

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Model Overview

Neshaki/llama3.1-8b-java-chatbot-merged is an 8 billion parameter language model developed by Neshaki, based on the Llama 3.1 architecture. It has been instruction-tuned from unsloth/llama-3.1-8b-instruct and is specifically designed for Java chatbot applications. The fine-tuning process utilized Unsloth and Hugging Face's TRL library, enabling a 2x faster training speed.

Key Capabilities

  • Java Chatbot Optimization: Specifically fine-tuned for conversational interactions relevant to Java development.
  • Efficient Training: Benefits from Unsloth's accelerated training techniques, making it a performant model for its size.
  • Llama 3.1 Foundation: Inherits the robust capabilities of the Llama 3.1 base model.

Good For

  • Developing chatbots that interact with users about Java-related topics.
  • Applications requiring a specialized language model for Java development contexts.
  • Use cases where efficient inference for an 8B parameter model is crucial.

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