asaping/toolcalling-merged-demo
The asaping/toolcalling-merged-demo is a 2 billion parameter Qwen3 model, fine-tuned by asaping, featuring a 32768 token context length. It was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. This model is designed for general language tasks, leveraging its Qwen3 architecture for robust performance.
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Model Overview
The asaping/toolcalling-merged-demo is a 2 billion parameter Qwen3 model, fine-tuned by asaping. It was developed using Unsloth and Huggingface's TRL library, which facilitated a 2x faster fine-tuning process. This model inherits the Qwen3 architecture and is designed for various language understanding and generation tasks.
Key Characteristics
- Architecture: Qwen3 base model.
- Parameter Count: 2 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Efficiency: Fine-tuned with Unsloth, known for accelerating training.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
This model is suitable for applications requiring a capable language model with a good balance of size and performance, especially where efficient fine-tuning is a priority. Its Qwen3 foundation suggests strong general language capabilities.