benchmark
transformers
| benchmark | transformers | |
|---|---|---|
| 3 | 179 | |
| 789 | 125,741 | |
| 3.3% | 2.0% | |
| 9.8 | 10.0 | |
| 2 days ago | 7 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
benchmark
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PyTorch Primitives in WebGPU for the Browser
>What's a fair benchmark?
the absolute golden benchmarks are https://github.com/pytorch/benchmark
- [R] AMD Instinct MI25 | Machine Learning Setup on the Cheap!
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[R] PyTorch | Budget GPU Benchmarking
TorchBench (https://github.com/pytorch/benchmark) is used by PyTorch core developers to test performance across a wide variety of models. I've never used it personally though.
transformers
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XLSTM: Extended Long Short-Term Memory
Fascinating work, very promising.
Can you summarise how the model in your paper differs from this one ?
https://github.com/huggingface/transformers/issues/27011
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AI enthusiasm #9 - A multilingual chatbot📣🈸
transformers is a package by Hugging Face, that helps you interact with models on HF Hub (GitHub)
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Maxtext: A simple, performant and scalable Jax LLM
Is t5x an encoder/decoder architecture?
Some more general options.
The Flax ecosystem
https://github.com/google/flax?tab=readme-ov-file
or dm-haiku
https://github.com/google-deepmind/dm-haiku
were some of the best developed communities in the Jax AI field
Perhaps the “trax” repo? https://github.com/google/trax
Some HF examples https://github.com/huggingface/transformers/tree/main/exampl...
Sadly it seems much of the work is proprietary these days, but one example could be Grok-1, if you customize the details. https://github.com/xai-org/grok-1/blob/main/run.py
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Lossless Acceleration of LLM via Adaptive N-Gram Parallel Decoding
The HuggingFace transformers library already has support for a similar method called prompt lookup decoding that uses the existing context to generate an ngram model: https://github.com/huggingface/transformers/issues/27722
I don't think it would be that hard to switch it out for a pretrained ngram model.
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AI enthusiasm #6 - Finetune any LLM you want💡
Most of this tutorial is based on Hugging Face course about Transformers and on Niels Rogge's Transformers tutorials: make sure to check their work and give them a star on GitHub, if you please ❤️
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Schedule-Free Learning – A New Way to Train
* Superconvergence + LR range finder + Fast AI's Ranger21 optimizer was the goto optimizer for CNNs, and worked fabulously well, but on transformers, the learning rate range finder sadi 1e-3 was the best, whilst 1e-5 was better. However, the 1 cycle learning rate stuck. https://github.com/huggingface/transformers/issues/16013
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Gemma doesn't suck anymore – 8 bug fixes
Thanks! :) I'm pushing them into transformers, pytorch-gemma and collabing with the Gemma team to resolve all the issues :)
The RoPE fix should already be in transformers 4.38.2: https://github.com/huggingface/transformers/pull/29285
My main PR for transformers which fixes most of the issues (some still left): https://github.com/huggingface/transformers/pull/29402
- HuggingFace Transformers: Qwen2
- HuggingFace Transformers Release v4.36: Mixtral, Llava/BakLlava, SeamlessM4T v2
- HuggingFace: Support for the Mixtral Moe
What are some alternatives?
llama.cpp - LLM inference in C/C++
fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
wonnx - A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web
sentence-transformers - Multilingual Sentence & Image Embeddings with BERT
potatogpt - Pure Typescript, dependency free, ridiculously slow implementation of GPT2 for educational purposes
llama - Inference code for Llama models
opov - Operator Overloading for Typescript with Tagged Template Literals
transformer-pytorch - Transformer: PyTorch Implementation of "Attention Is All You Need"
shumai - Fast Differentiable Tensor Library in JavaScript and TypeScript with Bun + Flashlight
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
requests-wasm-polyfill - Drop-in replacement for the requests library for wasm python
huggingface_hub - The official Python client for the Huggingface Hub.