Younes Belkada (younesbelkada)

younesbelkada

Geek Repo

Company:@huggingface

Location:Paris, France

Home Page:https://younesbelkada.github.io/

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Younes Belkada's repositories

transformers

πŸ€— Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

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DataDreamer

Prompt. Generate Synthetic Data. Train & Align Models. πŸ€–πŸ’€

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hf-torch-compile-benchmark

A repository to benchmark the expected speedups using `torch.compile` and `torch.scaled_dot_product_attention`

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accelerate

πŸš€ A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

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StarCoderReview

Get StarCoder to review your PR's

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AutoGPTQ

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

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axolotl

Go ahead and axolotl questions

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notebooks

Notebooks using the Hugging Face libraries πŸ€—

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optimum

🏎️ Accelerate training and inference of πŸ€— Transformers with easy to use hardware optimization tools

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peft

Parameter-Efficient Fine-Tuning

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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trl

Train transformer language models with reinforcement learning.

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alpaca-lora

Code for reproducing the Stanford Alpaca InstructLLaMA result on consumer hardware

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bitsandbytes-1

8-bit CUDA functions for PyTorch

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blog

Public repo for HF blog posts

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diffusers

πŸ€— Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

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EETQ

Easy and Efficient Quantization for Transformers

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evaluate

πŸ€— Evaluate: A library for easily evaluating machine learning models and datasets.

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fsdp_qlora

Training LLMs with QLoRA + FSDP

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guidance

A guidance language for controlling large language models.

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lion-pytorch

🦁 Lion, new optimizer discovered by Google Brain that is purportedly better than Adam(w), in Pytorch

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LLaMA-Factory

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

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llm-awq

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

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LOMO

LOMO: LOw-Memory Optimization

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quanto

A pytorch Quantization Toolkit

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text-generation-webui

A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

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unsloth

5X faster 60% less memory QLoRA finetuning

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