harshalmore31/adlerian-philosopher-qwen3-14b
The harshalmore31/adlerian-philosopher-qwen3-14b is a 14 billion parameter Qwen3 model, fine-tuned by harshalmore31. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its Qwen3 architecture and 32768 token context length.
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Model Overview
The harshalmore31/adlerian-philosopher-qwen3-14b is a 14 billion parameter language model, fine-tuned by harshalmore31. It is based on the Qwen3 architecture and was developed using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process. The model maintains a substantial context length of 32768 tokens.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/qwen3-14b-unsloth-bnb-4bit. - Training Efficiency: Utilizes Unsloth for accelerated training.
- Parameter Count: 14 billion parameters.
- Context Length: Supports a 32768 token context window.
Potential Use Cases
This model is suitable for a variety of general language generation and understanding tasks, benefiting from its Qwen3 foundation and efficient fine-tuning. Its large context window makes it capable of handling longer inputs and generating coherent, extended responses.