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@RahulSChand
RahulSChand
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  1. gpu_poor gpu_poor Public

    Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization

    JavaScript 1.4k 84

  2. llama2.c-for-dummies llama2.c-for-dummies Public

    Step by step explanation/tutorial of llama2.c

    C 224 20

  3. Multi-Granularity-Hierarchical-Attention-Fusion-Networks-for-Question-Answering---TensorFlow Multi-Granularity-Hierarchical-Attention-Fusion-Networks-for-Question-Answering---TensorFlow Public

    TensorFlow implementation of the "Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering" paper by Alibaba.

    Python 8 3

  4. Weighted-low-rank-factorization-Pytorch Weighted-low-rank-factorization-Pytorch Public

    PyTorch implementation of Language model compression with weighted low-rank factorization

    Python 12 2

  5. chess_vlm chess_vlm Public

    Repo to test and finetune VLMs on chess tasks

    Python 4

  6. NVIDIA-NeMo/RL NVIDIA-NeMo/RL Public

    Scalable toolkit for efficient model reinforcement

    Python 959 158

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