Mudassir-75/Qwen3-14B-16k-Phase1 is a 14 billion parameter Qwen3-based language model developed by Mudassir-75, fine-tuned from huihui-ai/Huihui-Qwen3-14B-abliterated-v2. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster finetuning. It is designed for general language understanding and generation tasks, leveraging its 16k (32768 token) context window for processing longer inputs.
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Model Overview
Mudassir-75/Qwen3-14B-16k-Phase1 is a 14 billion parameter language model, developed by Mudassir-75. It is a fine-tuned variant of the huihui-ai/Huihui-Qwen3-14B-abliterated-v2 base model, leveraging the Qwen3 architecture. This model was specifically trained for efficiency, utilizing the Unsloth library in conjunction with Huggingface's TRL library, which facilitated a 2x faster finetuning process.
Key Characteristics
- Base Model: Finetuned from
huihui-ai/Huihui-Qwen3-14B-abliterated-v2. - Parameter Count: 14 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports a 16k context window (32768 tokens), enabling the processing and generation of longer sequences of text.
- Training Efficiency: Benefits from Unsloth's optimizations, leading to significantly faster finetuning.
Intended Use Cases
This model is suitable for a variety of natural language processing tasks, particularly those that benefit from a larger context window and the general capabilities of the Qwen3 architecture. Its efficient training methodology suggests potential for further adaptation and specialized applications. Users should consider its Apache-2.0 license for deployment.