stanford-crfm / mistralLinks
Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging Face 🤗 Transformers.
☆575Updated last year
Alternatives and similar repositories for mistral
Users that are interested in mistral are comparing it to the libraries listed below
Sorting:
- Task-based datasets, preprocessing, and evaluation for sequence models.☆583Updated this week
- Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)☆463Updated 2 years ago
- Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)☆311Updated 2 years ago
- An open collection of implementation tips, tricks and resources for training large language models☆478Updated 2 years ago
- Repository containing code for "How to Train BERT with an Academic Budget" paper☆314Updated last year
- A prize for finding tasks that cause large language models to show inverse scaling☆613Updated last year
- Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch☆870Updated last year
- Used for adaptive human in the loop evaluation of language and embedding models.☆310Updated 2 years ago
- Pipeline for pulling and processing online language model pretraining data from the web☆178Updated 2 years ago
- Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.☆564Updated last year
- Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"☆456Updated last year
- Scaling Data-Constrained Language Models☆338Updated last month
- ☆361Updated last year
- A framework for few-shot evaluation of autoregressive language models.☆105Updated 2 years ago
- ☆246Updated 5 years ago
- Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.☆1,005Updated last year
- Find and fix bugs in natural language machine learning models using adaptive testing.☆184Updated last year
- Adversarial Natural Language Inference Benchmark☆397Updated 3 years ago
- git extension for {collaborative, communal, continual} model development☆217Updated 8 months ago
- A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use.☆311Updated 7 months ago
- Original Implementation of Prompt Tuning from Lester, et al, 2021☆689Updated 4 months ago
- The official code of LM-Debugger, an interactive tool for inspection and intervention in transformer-based language models.☆178Updated 3 years ago
- A repository for research on medium sized language models.☆506Updated last month
- Build, evaluate, understand, and fix LLM-based apps☆489Updated last year
- Ask Me Anything language model prompting☆547Updated 2 years ago
- Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…☆545Updated last year
- Python library which enables complex compositions of language models such as scratchpads, chain of thought, tool use, selection-inference…☆207Updated last month
- NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day☆256Updated last year
- Interpretability for sequence generation models 🐛 🔍☆432Updated 3 months ago
- Parallelformers: An Efficient Model Parallelization Toolkit for Deployment☆790Updated 2 years ago