lordwordsword/page-model
VISIONConcurrency Cost:1Model Size:9BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:May 8, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The lordwordsword/page-model is a 9 billion parameter language model developed by lordwordsword, fine-tuned from the Qwen/Qwen3.5-9B architecture. This model was trained with Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for general language tasks, leveraging its Qwen3.5 base for robust performance.
Loading preview...
Model Overview
The lordwordsword/page-model is a 9 billion parameter language model, developed by lordwordsword. It is a fine-tuned version of the Qwen/Qwen3.5-9B base model, leveraging its robust architecture for various language understanding and generation tasks.
Key Characteristics
- Base Model: Fine-tuned from
Qwen/Qwen3.5-9B. - Training Efficiency: This model was trained significantly faster, achieving a 2x speedup, by utilizing Unsloth and Huggingface's TRL library. This indicates an optimized training process for efficiency.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Potential Use Cases
Given its Qwen3.5 base and 9 billion parameters, this model is suitable for a range of applications, including:
- General text generation and completion.
- Question answering and summarization tasks.
- Conversational AI and chatbots.
- Applications requiring a balance of performance and computational efficiency due to its optimized training.