platypus123/Qwen-Z3-Merged-V0

TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:May 26, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The platypus123/Qwen-Z3-Merged-V0 is a 7.6 billion parameter Qwen2.5-based instruction-tuned causal language model developed by platypus123. This model was finetuned from unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process. It is designed for general language understanding and generation tasks, leveraging its efficient training methodology.

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Model Overview

The platypus123/Qwen-Z3-Merged-V0 is a 7.6 billion parameter instruction-tuned language model. It is based on the Qwen2.5 architecture and was developed by platypus123. The model was finetuned from unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit.

Key Characteristics

  • Efficient Training: This model was trained with Unsloth and Huggingface's TRL library, which enabled a 2x faster finetuning process compared to standard methods.
  • Base Model: Built upon the robust Qwen2.5-7B-Instruct foundation, providing strong general language capabilities.
  • License: Distributed under the Apache-2.0 license, allowing for broad use and distribution.

Potential Use Cases

Given its instruction-tuned nature and efficient training, this model is suitable for a variety of natural language processing tasks, including:

  • Instruction following and response generation.
  • Text summarization and question answering.
  • Chatbot development and conversational AI.
  • General text generation where a 7.6B parameter model is appropriate.