Modalities / modalitiesLinks
Modalities, a PyTorch-native framework for distributed and reproducible foundation model training.
☆85Updated this week
Alternatives and similar repositories for modalities
Users that are interested in modalities are comparing it to the libraries listed below
Sorting:
- Efficient LLM inference on Slurm clusters using vLLM.☆69Updated last week
- nanoGPT-like codebase for LLM training☆102Updated 2 months ago
- PyTorch Explain: Interpretable Deep Learning in Python.☆159Updated last year
- ☆166Updated 2 years ago
- Notebooks accompanying Anthropic's "Toy Models of Superposition" paper☆128Updated 2 years ago
- Sparse and discrete interpretability tool for neural networks☆63Updated last year
- some common Huggingface transformers in maximal update parametrization (µP)☆82Updated 3 years ago
- Understand and test language model architectures on synthetic tasks.☆221Updated 3 weeks ago
- Flexible library for merging large language models (LLMs) via evolutionary optimization (ACL 2025 Demo).☆80Updated 2 weeks ago
- [NeurIPS 2023] Learning Transformer Programs☆162Updated last year
- A MAD laboratory to improve AI architecture designs 🧪☆123Updated 7 months ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆149Updated last month
- SDLG is an efficient method to accurately estimate aleatoric semantic uncertainty in LLMs☆25Updated last year
- ☆68Updated 2 years ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆81Updated 9 months ago
- Emergent world representations: Exploring a sequence model trained on a synthetic task☆186Updated 2 years ago
- Supercharge huggingface transformers with model parallelism.☆77Updated 2 weeks ago
- ☆136Updated 4 months ago
- Implementation of the BatchTopK activation function for training sparse autoencoders (SAEs)☆44Updated 2 weeks ago
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆78Updated 3 years ago
- Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.☆129Updated 8 months ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated last year
- ☆31Updated 3 months ago
- ☆37Updated last year
- ☆81Updated 5 months ago
- Attribution-based Parameter Decomposition☆28Updated last month
- Interpretating the latent space representations of attention head outputs for LLMs☆34Updated 11 months ago
- Erasing concepts from neural representations with provable guarantees☆232Updated 6 months ago
- Universal Neurons in GPT2 Language Models☆30Updated last year
- ☆54Updated 2 years ago