Xtiantian/mahuve6

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:9BQuant:FP8Ctx Length:16kPublished:May 12, 2026License:apache-2.0Architecture:Transformer Open Weights Warm

Xtiantian/mahuve6 is a 9 billion parameter instruction-tuned causal language model, finetuned from unsloth/gemma-2-9b-it-bnb-4bit. Developed by Xtiantian, this model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general instruction-following tasks, leveraging the Gemma 2 architecture.

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Model Overview

Xtiantian/mahuve6 is a 9 billion parameter instruction-tuned model, developed by Xtiantian. It is finetuned from the unsloth/gemma-2-9b-it-bnb-4bit base model, leveraging the Gemma 2 architecture for its capabilities.

Key Characteristics

  • Base Model: Finetuned from unsloth/gemma-2-9b-it-bnb-4bit.
  • Training Efficiency: The model was trained 2x faster using the Unsloth library in conjunction with Huggingface's TRL library, indicating an optimized training process.
  • License: Distributed under the Apache-2.0 license, allowing for broad use and distribution.

Potential Use Cases

Given its instruction-tuned nature and foundation on the Gemma 2 architecture, this model is suitable for a variety of general-purpose natural language processing tasks, including:

  • Instruction following and response generation.
  • Text summarization and completion.
  • Conversational AI applications.

This model offers a performant option for developers seeking a Gemma 2-based instruction-tuned model with efficient training origins.