kyegomez / MM1Links
PyTorch Implementation of the paper "MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training"
☆24Updated 2 weeks ago
Alternatives and similar repositories for MM1
Users that are interested in MM1 are comparing it to the libraries listed below
Sorting:
- Minimum Description Length probing for neural network representations☆18Updated 5 months ago
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Updated last year
- ☆16Updated last year
- ☆13Updated 10 months ago
- NeurIPS 2023 - Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer☆43Updated last year
- 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
- code for paper "Accessing higher dimensions for unsupervised word translation"☆21Updated 2 years ago
- efficient query encoding for dense retrieval☆11Updated 11 months ago
- Lottery Ticket Adaptation☆39Updated 7 months ago
- A Data Source for Reasoning Embodied Agents☆19Updated last year
- ☆23Updated 7 months ago
- ☆21Updated 4 months ago
- Implementation of the LDP module block in PyTorch and Zeta from the paper: "MobileVLM: A Fast, Strong and Open Vision Language Assistant …☆16Updated last year
- Submission to the inverse scaling prize☆23Updated last year
- ☆21Updated 8 months ago
- ☆18Updated last month
- ☆15Updated last week
- Official Repository for Task-Circuit Quantization☆20Updated last month
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆30Updated 2 weeks ago
- This library supports evaluating disparities in generated image quality, diversity, and consistency between geographic regions.☆20Updated last year
- Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [to appear at ICLR 2025]☆19Updated last month
- A sample pattern for running CI tests on Modal☆18Updated 3 months ago
- Official repository for "BLEUBERI: BLEU is a surprisingly effective reward for instruction following"☆25Updated last month
- Load any clip model with a standardized interface☆21Updated last year
- Projects completed under LinuxWorld Informatics Ltd. - MLOps Training.☆12Updated 4 years ago
- Shows how to do parameter ensembling using differential evolution.☆10Updated 3 years ago
- A dashboard for exploring timm learning rate schedulers☆19Updated 7 months ago
- Training hybrid models for dummies.☆25Updated 5 months ago
- Embedding Recycling for Language models☆38Updated 2 years ago
- ☆31Updated last year