scottlogic-alex / prm800k-denorm
Script for processing OpenAI's PRM800K process supervision dataset into an Alpaca-style instruction-response format
☆27Updated last year
Alternatives and similar repositories for prm800k-denorm:
Users that are interested in prm800k-denorm are comparing it to the libraries listed below
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆42Updated last year
- Minimal implementation of the Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models paper (ArXiv 20232401.01335)☆29Updated last year
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆47Updated last year
- Repository for Skill Set Optimization☆12Updated 8 months ago
- Implementation of "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"☆42Updated 5 months ago
- ☆27Updated 2 weeks ago
- NeurIPS 2024 tutorial on LLM Inference☆41Updated 4 months ago
- ☆33Updated 9 months ago
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆55Updated 7 months ago
- ☆17Updated 6 months ago
- A repository for research on medium sized language models.☆76Updated 10 months ago
- [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages☆45Updated 4 months ago
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆30Updated last week
- The repository contains code for Adaptive Data Optimization☆20Updated 4 months ago
- ☆15Updated this week
- The official code repo and data hub of top_nsigma sampling strategy for LLMs.☆24Updated 2 months ago
- ☆24Updated 6 months ago
- ☆11Updated last year
- Exploration of automated dataset selection approaches at large scales.☆35Updated last month
- In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning☆34Updated last year
- ☆48Updated 5 months ago
- Demonstration that finetuning RoPE model on larger sequences than the pre-trained model adapts the model context limit☆63Updated last year
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆52Updated last year
- CodeUltraFeedback: aligning large language models to coding preferences☆71Updated 9 months ago
- Codebase for Instruction Following without Instruction Tuning☆34Updated 6 months ago
- Byte-sized text games for code generation tasks on virtual environments☆19Updated 9 months ago
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆36Updated last year
- Code for preprint "Metadata Conditioning Accelerates Language Model Pre-training (MeCo)"☆36Updated 3 weeks ago
- Astraios: Parameter-Efficient Instruction Tuning Code Language Models☆57Updated last year
- ☆27Updated last year