Dennis1315/ward-cloud-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-cloud-14b is a 9 billion parameter causal language model, finetuned from Qwen/Qwen3.5-9B, with a context length of 32768 tokens. This model was developed by Dennis1315 and optimized for training speed using Unsloth and Huggingface's TRL library. Its primary differentiator is its efficient training methodology, allowing for faster fine-tuning processes.
Loading preview...
Dennis1315/ward-cloud-14b: Fast Fine-tuning with Unsloth
Dennis1315/ward-cloud-14b is a 9 billion parameter language model, finetuned from the Qwen/Qwen3.5-9B base model. This model stands out due to its optimized training process, which leveraged Unsloth and Huggingface's TRL library to achieve a 2x speed improvement during fine-tuning.
Key Capabilities
- Efficient Fine-tuning: Benefits from a training methodology that significantly reduces fine-tuning time.
- Qwen3.5-9B Foundation: Inherits the capabilities and architecture of the robust Qwen3.5-9B model.
- Extended Context Window: Supports a context length of 32768 tokens, suitable for processing longer inputs.
Good for
- Developers seeking a pre-finetuned model based on Qwen3.5-9B.
- Use cases where rapid iteration and efficient fine-tuning are critical considerations.
- Applications requiring a model with a substantial context window.