google-deepmind / alta
☆22Updated 6 months ago
Alternatives and similar repositories for alta:
Users that are interested in alta are comparing it to the libraries listed below
- Q-Probe: A Lightweight Approach to Reward Maximization for Language Models☆41Updated 10 months ago
- Using FlexAttention to compute attention with different masking patterns☆43Updated 7 months ago
- Implementation of Direct Preference Optimization☆16Updated last year
- ☆53Updated last year
- ☆31Updated 3 months ago
- ☆31Updated last year
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆37Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- ☆21Updated 4 months ago
- This repo is based on https://github.com/jiaweizzhao/GaLore☆27Updated 7 months ago
- Minimum Description Length probing for neural network representations☆19Updated 3 months ago
- Official PyTorch Implementation of the Longhorn Deep State Space Model☆50Updated 5 months ago
- Universal Neurons in GPT2 Language Models☆28Updated 11 months ago
- ☆19Updated 2 months ago
- NeurIPS 2024 tutorial on LLM Inference☆43Updated 4 months ago
- Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers☆17Updated 2 months ago
- Official implementation of the transformer (TF) architecture suggested in a paper entitled "Looped Transformers as Programmable Computers…☆25Updated 2 years ago
- Combining SOAP and MUON☆16Updated 2 months ago
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆29Updated last month
- ☆51Updated 11 months ago
- Efficient Scaling laws and collaborative pretraining.☆16Updated 3 months ago
- [ICLR 2025] "Training LMs on Synthetic Edit Sequences Improves Code Synthesis" (Piterbarg, Pinto, Fergus)☆19Updated 2 months ago
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆28Updated last year
- ☆60Updated last year
- ☆43Updated 7 months ago
- ☆78Updated 8 months ago
- ☆21Updated 7 months ago
- Understanding how features learned by neural networks evolve throughout training☆34Updated 6 months ago
- Transformer with Mu-Parameterization, implemented in Jax/Flax. Supports FSDP on TPU pods.☆30Updated this week
- ☆19Updated last month