Skip to content
View RahulSChand's full-sized avatar
🤔
🤔

Block or report RahulSChand

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. gpu_poor gpu_poor Public

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

    JavaScript 1.1k 57

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

    Step by step explanation/tutorial of llama2.c

    C 210 18

  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. monosemanticity-quantization monosemanticity-quantization Public

    Affect of Quantization on Monosemanticity of 1 layered Networks

    Python 1

  5. batched-pytorch-ksvd batched-pytorch-ksvd Public

    Batched version of KSVD written in PyTorch that runs on GPU

    Python 2

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

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

    Python 7 2