From f83e14f68dc44b869a605a440feeacf3ef8945c5 Mon Sep 17 00:00:00 2001 From: Eric Buehler <65165915+EricLBuehler@users.noreply.github.com> Date: Tue, 21 Nov 2023 12:54:24 -0500 Subject: Add candle-lora transformers to readme? (#1356) * Demonstrate lora transformers in readme * Shorten readme --- README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) (limited to 'README.md') diff --git a/README.md b/README.md index 9e5cabd0..20596fe1 100644 --- a/README.md +++ b/README.md @@ -139,15 +139,15 @@ And then head over to ## Useful External Resources -- [`candle-tutorial`](https://github.com/ToluClassics/candle-tutorial): a +- [`candle-tutorial`](https://github.com/ToluClassics/candle-tutorial): A very detailed tutorial showing how to convert a PyTorch model to Candle. -- [`optimisers`](https://github.com/KGrewal1/optimisers): a collection of optimisers +- [`candle-lora`](https://github.com/EricLBuehler/candle-lora): Efficient and ergonomic LoRA implemenation for Candle. `candle-lora` has + out-of-the-box LoRA support for many models from Candle, which can be found [here](https://github.com/EricLBuehler/candle-lora/tree/master/candle-lora-transformers/examples). +- [`optimisers`](https://github.com/KGrewal1/optimisers): A collection of optimisers including SGD with momentum, AdaGrad, AdaDelta, AdaMax, NAdam, RAdam, and RMSprop. -- [`candle-lora`](https://github.com/EricLBuehler/candle-lora): a LoRA implementation - that conforms to the official `peft` implementation. - [`candle-vllm`](https://github.com/EricLBuehler/candle-vllm): Efficient platform for inference and serving local LLMs including an OpenAI compatible API server. -- [`candle-ext`](https://github.com/mokeyish/candle-ext): an extension library to Candle that provides PyTorch functions not currently available in Candle. +- [`candle-ext`](https://github.com/mokeyish/candle-ext): An extension library to Candle that provides PyTorch functions not currently available in Candle. - [`kalosm`](https://github.com/floneum/floneum/tree/master/interfaces/kalosm): A multi-modal meta-framework in Rust for interfacing with local pre-trained models with support for controlled generation, custom samplers, in-memory vector databases, audio transcription, and more. - [`candle-sampling`](https://github.com/EricLBuehler/candle-sampling): Sampling techniques for Candle. -- cgit v1.2.3