kyo-takano / chinchilla
A toolkit for scaling law research ⚖
☆49Updated 3 months ago
Alternatives and similar repositories for chinchilla:
Users that are interested in chinchilla are comparing it to the libraries listed below
- Simple and efficient pytorch-native transformer training and inference (batched)☆75Updated last year
- ☆52Updated 11 months ago
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆72Updated 8 months ago
- Triton Implementation of HyperAttention Algorithm☆47Updated last year
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆37Updated last year
- ☆47Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆72Updated 6 months ago
- Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models☆49Updated last week
- ☆34Updated last year
- ☆103Updated 11 months ago
- Language models scale reliably with over-training and on downstream tasks☆96Updated last year
- A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.☆65Updated 9 months ago
- ☆20Updated last year
- ☆13Updated last week
- Minimal but scalable implementation of large language models in JAX☆34Updated 6 months ago
- ☆53Updated 10 months ago
- Sparse Backpropagation for Mixture-of-Expert Training☆29Updated 10 months ago
- Revisiting Mid-training in the Era of RL Scaling☆36Updated 2 weeks ago
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆59Updated 6 months ago
- [NeurIPS'24 Spotlight] Observational Scaling Laws☆54Updated 7 months ago
- Using FlexAttention to compute attention with different masking patterns☆43Updated 7 months ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆40Updated last year
- A scalable asynchronous reinforcement learning implementation with in-flight weight updates.☆100Updated this week
- ☆49Updated last year
- ☆72Updated last year
- ☆78Updated 10 months ago
- ☆50Updated 6 months ago
- ☆38Updated last year
- some common Huggingface transformers in maximal update parametrization (µP)☆80Updated 3 years ago
- ☆92Updated 7 months ago