Puujeeeeeeeeeeee/qwen35-cpt-round1
VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 5, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Puujeeeeeeeeeeee/qwen35-cpt-round1 is a 9 billion parameter Qwen3.5-based causal language model developed by Puujeeeeeeeeeeee, fine-tuned using Unsloth and Huggingface's TRL library. This model was trained with a focus on efficiency, achieving 2x faster training speeds. It is designed for general language generation tasks, leveraging its 32768 token context length for comprehensive understanding.
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Model Overview
Puujeeeeeeeeeeee/qwen35-cpt-round1 is a 9 billion parameter language model, fine-tuned by Puujeeeeeeeeeeee. It is based on the Qwen3.5 architecture, specifically building upon the unsloth/Qwen3.5-9B-Base model.
Key Characteristics
- Efficient Training: This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Base Model: Leverages the robust capabilities of the Qwen3.5-9B-Base model, providing a strong foundation for various language tasks.
- Context Length: Features a substantial 32768 token context window, enabling it to process and generate longer, more coherent texts.
Potential Use Cases
Given its efficient fine-tuning and Qwen3.5 base, this model is suitable for applications requiring:
- General text generation and completion.
- Tasks benefiting from a large context window.
- Exploration of models fine-tuned with advanced efficiency techniques like Unsloth.