kyegomez / MM1
PyTorch Implementation of the paper "MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training"
☆23Updated 2 weeks ago
Alternatives and similar repositories for MM1:
Users that are interested in MM1 are comparing it to the libraries listed below
- ☆12Updated 7 months ago
- Minimum Description Length probing for neural network representations☆19Updated 2 months ago
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Updated last year
- This library supports evaluating disparities in generated image quality, diversity, and consistency between geographic regions.☆20Updated 10 months ago
- Code for our paper Resources and Evaluations for Multi-Distribution Dense Information Retrieval☆14Updated last year
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆30Updated 2 weeks ago
- A public implementation of the ReLoRA pretraining method, built on Lightning-AI's Pytorch Lightning suite.☆33Updated last year
- Aioli: A unified optimization framework for language model data mixing☆22Updated 2 months ago
- code for paper "Accessing higher dimensions for unsupervised word translation"☆21Updated last year
- A dashboard for exploring timm learning rate schedulers☆19Updated 4 months ago
- Repository for Skill Set Optimization☆12Updated 8 months ago
- ☆25Updated last year
- A Data Source for Reasoning Embodied Agents☆19Updated last year
- ☆15Updated 6 months ago
- This is a new metric that can be used to evaluate faithfulness of text generated by LLMs. The work behind this repository can be found he…☆31Updated last year
- ☆18Updated 10 months ago
- Implementation of a holodeck, written in Pytorch☆17Updated last year
- Load any clip model with a standardized interface☆21Updated 11 months ago
- Directed masked autoencoders☆14Updated 2 years ago
- [COLM 2024] Early Weight Averaging meets High Learning Rates for LLM Pre-training☆16Updated 5 months ago
- ☆15Updated last year
- Embedding Recycling for Language models☆38Updated last year
- Python package for generating datasets to evaluate reasoning and retrieval of large language models☆16Updated this week
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆36Updated last year
- ☆32Updated 9 months ago
- official repo of AAAI2024 paper Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence Regularization☆13Updated last year
- My explorations into editing the knowledge and memories of an attention network☆34Updated 2 years ago
- NeurIPS 2023 - Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer☆41Updated last year
- SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batchi…☆32Updated 10 months ago
- Code for the examples presented in the talk "Training a Llama in your backyard: fine-tuning very large models on consumer hardware" given…☆14Updated last year