yds9744/toolcalling-merged-demo
TEXT GENERATIONConcurrency Cost:1Model Size:2BQuant:BF16Ctx Length:32kPublished:Apr 2, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The yds9744/toolcalling-merged-demo is a 2 billion parameter Qwen3 model, developed by yds9744, with a 32768 token context length. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient fine-tuning process.
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yds9744/toolcalling-merged-demo Overview
The yds9744/toolcalling-merged-demo is a 2 billion parameter Qwen3 model, fine-tuned by yds9744. It boasts a substantial context length of 32768 tokens, making it suitable for processing longer inputs and generating more coherent outputs.
Key Capabilities
- Efficient Fine-tuning: This model was fine-tuned using Unsloth and Huggingface's TRL library, which allowed for a 2x faster training process compared to standard methods.
- Qwen3 Architecture: Built upon the Qwen3 base, it inherits the robust capabilities of this model family.
- Extended Context: With a 32K context window, it can handle complex queries and maintain conversational history over longer interactions.
Good For
- Applications requiring a balance of performance and efficiency due to its optimized training.
- Tasks benefiting from a large context window, such as summarization of long documents or multi-turn conversations.
- General language generation and understanding tasks where the Qwen3 architecture is well-suited.