Dennis1315/ward-pwn-14b
VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 24, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The Dennis1315/ward-pwn-14b is a 9 billion parameter language model, fine-tuned from Qwen/Qwen3.5-9B. This model was developed by Dennis1315 and utilizes Unsloth and Huggingface's TRL library for accelerated training. It is optimized for efficient performance, having been trained 2x faster, making it suitable for applications requiring rapid deployment and inference.
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Model Overview
The Dennis1315/ward-pwn-14b is a 9 billion parameter language model, fine-tuned by Dennis1315 from the Qwen/Qwen3.5-9B base model. This model was developed with a focus on training efficiency and performance.
Key Characteristics
- Base Model: Fine-tuned from Qwen/Qwen3.5-9B, leveraging its foundational capabilities.
- Accelerated Training: Utilizes Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Parameter Count: Features 9 billion parameters, offering a balance between model complexity and computational requirements.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Good For
- Efficient Deployment: Ideal for scenarios where rapid model training and deployment are critical.
- Resource-Constrained Environments: The optimized training process suggests potential benefits for environments with limited computational resources.
- Applications requiring Qwen3.5-9B capabilities: Suitable for tasks that align with the strengths of the Qwen3.5-9B architecture, enhanced by the fine-tuning.