ksiom/toolcalling-merged-demo
The ksiom/toolcalling-merged-demo is a 2 billion parameter Qwen3-based causal language model developed by ksiom, fine-tuned from unsloth/Qwen3-1.7B-unsloth-bnb-4bit. This model was specifically trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging its Qwen3 architecture and efficient fine-tuning process.
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Model Overview
The ksiom/toolcalling-merged-demo is a 2 billion parameter Qwen3-based causal language model, developed by ksiom. It has been fine-tuned from the unsloth/Qwen3-1.7B-unsloth-bnb-4bit model, utilizing the Unsloth library and Huggingface's TRL for accelerated training.
Key Characteristics
- Architecture: Based on the Qwen3 family of models.
- Parameter Count: 2 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: Fine-tuned with Unsloth, which is noted for enabling significantly faster training times (2x faster).
- Context Length: Supports a context length of 32768 tokens.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is suitable for a variety of general language generation tasks where a Qwen3-based architecture with efficient training is beneficial. Its fine-tuning process suggests potential for applications requiring robust language understanding and generation capabilities within its parameter size.