Mo0189/agenty-qwen3-14b
Mo0189/agenty-qwen3-14b is a 14 billion parameter Qwen3 model developed by Mo0189, fine-tuned from unsloth/Qwen3-14B-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. With a context length of 32768 tokens, it is designed for general language generation tasks.
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Mo0189/agenty-qwen3-14b: A Fine-Tuned Qwen3 Model
This model, developed by Mo0189, is a 14 billion parameter variant of the Qwen3 architecture. It has been fine-tuned from the unsloth/Qwen3-14B-bnb-4bit base model, leveraging the Unsloth library in conjunction with Huggingface's TRL library. This combination facilitated a significantly faster training process, reportedly twice as fast.
Key Characteristics
- Model Family: Qwen3
- Parameter Count: 14 billion
- Context Length: 32768 tokens
- Training Efficiency: Utilizes Unsloth for accelerated fine-tuning.
Intended Use Cases
This model is suitable for a broad range of natural language processing tasks where a 14B parameter model with a substantial context window is beneficial. Its efficient fine-tuning process suggests it could be a good candidate for applications requiring custom adaptations of the Qwen3 architecture.