platypus123/Qwen-Z3-Merged-K247
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:May 27, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
platypus123/Qwen-Z3-Merged-K247 is a 7.6 billion parameter Qwen2-based instruction-tuned language model developed by platypus123. This model was finetuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process. It is designed for general language generation tasks, leveraging its efficient training methodology.
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Overview
platypus123/Qwen-Z3-Merged-K247 is a 7.6 billion parameter instruction-tuned language model based on the Qwen2 architecture. Developed by platypus123, this model was finetuned from unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit.
Key Characteristics
- Efficient Training: The model was trained 2x faster using Unsloth and Huggingface's TRL library, indicating an optimized finetuning process.
- Base Model: Built upon the Qwen2.5-7B-Instruct foundation, suggesting strong general language understanding and generation capabilities.
Good For
- Applications requiring a moderately sized instruction-tuned model.
- Scenarios where efficient training methodologies are a point of interest or a performance indicator.
- General natural language processing tasks that benefit from a Qwen2-based architecture.