dpo
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EasyRLHF aims to provide an easy and minimal interface to train aligned language models, using off-the-shelf solutions and datasets
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Dec 12, 2023 - Python
Notus is a collection of fine-tuned LLMs using SFT, DPO, SFT+DPO, and/or any other RLHF techniques, while always keeping a data-first approach
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Jan 15, 2024 - Python
Proof-of-concept leveraging DPO loss to fine-tune a ResNet to classify images from CIFAR10 dataset.
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Mar 29, 2024 - Python
Data and models for the paper "Configurable Safety Tuning of Language Models with Synthetic Preference Data"
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Apr 23, 2024 - Python
A open-source framework designed to adapt pre-trained Language Models (LLMs), such as Llama, Mistral, and Mixtral, to a wide array of domains and languages.
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May 27, 2024 - Python
Step-aware Preference Optimization: Aligning Preference with Denoising Performance at Each Step
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Jun 21, 2024 - Python
CodeUltraFeedback: aligning large language models to coding preferences
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Jun 25, 2024 - Python
SiLLM simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework.
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Jul 3, 2024 - Python
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