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Achazwl (William) · GitHub

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William Achazwl

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  1. [ACL 2025 main] FR-Spec: Frequency-Ranked Speculative Sampling

    C++ 38 1

  2. CPM.cu is a lightweight, high-performance CUDA implementation for LLMs, optimized for end-device inference and featuring cutting-edge techniques in sparse architecture, speculative sampling and qua…

    Cuda 173 15

  3. Efficient Training (including pre-training and fine-tuning) for Big Models

    Python 604 81

  4. Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)

    Python 109 9

  5. An Open-Source Framework for Prompt-Learning.

    Python 4.7k 476

  6. MiniCPM4: Ultra-Efficient LLMs on End Devices, achieving 5+ speedup on typical end-side chips

    Jupyter Notebook 8.2k 508

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