platypus123/Qwen-Z3-Merged-BTAM17026
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 4, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
platypus123/Qwen-Z3-Merged-BTAM17026 is a 7.6 billion parameter Qwen2-based language model developed by platypus123. 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 Qwen2 architecture for robust performance.
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Model Overview
platypus123/Qwen-Z3-Merged-BTAM17026 is a 7.6 billion parameter language model based on the Qwen2 architecture. Developed by platypus123, this model was fine-tuned from unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit.
Key Characteristics
- Base Model: Qwen2 architecture, known for its strong performance across various language tasks.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitates faster training processes.
- Parameter Count: Features 7.6 billion parameters, offering a balance between capability and computational requirements.
- Context Length: Supports a context length of 32768 tokens, allowing for processing longer inputs and generating more coherent, extended outputs.
Intended Use Cases
This model is suitable for a range of general-purpose natural language processing applications, including:
- Text generation and completion.
- Instruction following, given its fine-tuning from an instruct model.
- Conversational AI and chatbots.
- Summarization and content creation tasks.