Puujeeeeeeeeeeee/qwen35-cpt-round4
VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 6, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The Puujeeeeeeeeeeee/qwen35-cpt-round4 is a 9 billion parameter language model developed by Puujeeeeeeeeeeee, fine-tuned from Puujeeeeeeeeeeee/qwen35-cpt-round3. This model was trained using Unsloth and Huggingface's TRL library, indicating an optimization for efficient and accelerated fine-tuning processes. It is designed for general language tasks, leveraging its Qwen3.5 base for robust performance.
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Model Overview
Puujeeeeeeeeeeee/qwen35-cpt-round4 is a 9 billion parameter language model developed by Puujeeeeeeeeeeee. It is a fine-tuned iteration, building upon the Puujeeeeeeeeeeee/qwen35-cpt-round3 base model.
Key Characteristics
- Efficient Training: This model was fine-tuned with Unsloth and Huggingface's TRL library, enabling a 2x faster training process. This highlights an emphasis on computational efficiency during development.
- Model Lineage: As a
qwen3_5model, it inherits the architectural strengths and capabilities of the Qwen3.5 series. - License: The model is released under the Apache-2.0 license, promoting open and flexible use.
Potential Use Cases
Given its efficient fine-tuning and Qwen3.5 base, this model is suitable for:
- Applications requiring a robust 9 billion parameter language model.
- Scenarios where efficient deployment and fine-tuning are beneficial.
- General natural language processing tasks, leveraging its foundational capabilities.