Qwen3-14B LiteRT Model

This repository contains a LiteRT-LM version of the Qwen3-14B model, specifically optimized for on-device text generation.

Key Features

• Quantization: Weights are quantized by torchao to INT8 (channel-wise), and the KV cache is kept in Float32 to balance performance and accuracy.
• Optimized for Mobile: Designed for efficient execution on mobile and edge devices via LiteRT.
• Multilingual Support: Inherits strong multilingual capabilities from the base Qwen3-14B model.

Compatiblity

Tested on Linux CPU

Model Metadata

• Filename: qwen3_14b_channelwise_int8_float32kv.litertlm
• Model Size: 14.93 GB
• Quantization Mode: Channel-wise INT8 (Weights), Float32 (KV Cache)

Integration

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Citation

If you find our work helpful, feel free to give us a cite.

@misc{qwen3technicalreport,
      title={Qwen3 Technical Report}, 
      author={Qwen Team},
      year={2025},
      eprint={2505.09388},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2505.09388}, 
}