Dennis1315/ward-ops-14b
VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 23, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Dennis1315/ward-ops-14b is a 9 billion parameter language model, finetuned from Qwen/Qwen3.5-9B, with a context length of 32768 tokens. This model was developed by Dennis1315 and utilizes Unsloth and Huggingface's TRL library for accelerated training. Its primary differentiator is the optimized training process, achieving 2x faster finetuning compared to standard methods.
Loading preview...
Overview
Dennis1315/ward-ops-14b is a 9 billion parameter language model, finetuned by Dennis1315 from the Qwen/Qwen3.5-9B base model. It features a substantial context length of 32768 tokens, making it suitable for processing longer sequences of text.
Key Capabilities
- Efficient Finetuning: This model was finetuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to conventional methods.
- Qwen3.5 Base: Built upon the Qwen3.5-9B architecture, it inherits the foundational capabilities of that model.
Good For
- Developers seeking a Qwen3.5-based model that has undergone an optimized and accelerated finetuning process.
- Applications requiring a model with a 9 billion parameter count and a large 32K context window.
- Use cases where efficient model development and deployment are priorities, leveraging the benefits of Unsloth's training acceleration.