MadryLab / platinum-benchmarksLinks
☆32Updated 5 months ago
Alternatives and similar repositories for platinum-benchmarks
Users that are interested in platinum-benchmarks are comparing it to the libraries listed below
Sorting:
- Language models scale reliably with over-training and on downstream tasks☆99Updated last year
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- Repository for "I am a Strange Dataset: Metalinguistic Tests for Language Models"☆45Updated last year
- Using FlexAttention to compute attention with different masking patterns☆44Updated last year
- Simple repository for training small reasoning models☆40Updated 7 months ago
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆132Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆84Updated 10 months ago
- Code for the paper "Function-Space Learning Rates"☆23Updated 3 months ago
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆60Updated last year
- A repository for research on medium sized language models.☆77Updated last year
- ☆69Updated last year
- some common Huggingface transformers in maximal update parametrization (µP)☆82Updated 3 years ago
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆75Updated last year
- Minimum Description Length probing for neural network representations☆18Updated 7 months ago
- ☆82Updated last year
- ☆58Updated 4 months ago
- Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"☆88Updated last year
- $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources☆146Updated 4 months ago
- ☆53Updated last year
- ☆29Updated 7 months ago
- The repository contains code for Adaptive Data Optimization☆25Updated 9 months ago
- One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation☆42Updated 11 months ago
- ☆85Updated last year
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆60Updated 11 months ago
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆92Updated 10 months ago
- ☆52Updated last year
- ☆33Updated 8 months ago
- GoldFinch and other hybrid transformer components☆45Updated last year
- ☆81Updated this week
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆44Updated last year