Naman-ntc / FastCodeLinks
Utilities for efficient fine-tuning, inference and evaluation of code generation models
☆21Updated last year
Alternatives and similar repositories for FastCode
Users that are interested in FastCode are comparing it to the libraries listed below
Sorting:
- NeurIPS 2024 tutorial on LLM Inference☆45Updated 8 months ago
- CodeUltraFeedback: aligning large language models to coding preferences☆71Updated last year
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆44Updated last year
- Understanding the correlation between different LLM benchmarks☆29Updated last year
- ☆51Updated last year
- The repository contains code for Adaptive Data Optimization☆25Updated 8 months ago
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆57Updated last year
- In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning☆35Updated 2 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 11 months ago
- Script for processing OpenAI's PRM800K process supervision dataset into an Alpaca-style instruction-response format☆27Updated 2 years ago
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- ☆78Updated 4 months ago
- ☆28Updated 3 weeks ago
- Astraios: Parameter-Efficient Instruction Tuning Code Language Models☆59Updated last year
- ☆99Updated last year
- [ICML 2023] "Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation", Wenqing Zheng, S P Sharan, Ajay Kumar Jaiswal, …☆40Updated last year
- List of papers on Self-Correction of LLMs.☆74Updated 7 months ago
- ☆46Updated last year
- Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"☆71Updated last year
- ☆54Updated 9 months ago
- Simple and efficient pytorch-native transformer training and inference (batched)☆78Updated last year
- Q-Probe: A Lightweight Approach to Reward Maximization for Language Models☆41Updated last year
- Exploration of automated dataset selection approaches at large scales.☆47Updated 5 months ago
- Using FlexAttention to compute attention with different masking patterns☆44Updated 10 months ago
- A repository for research on medium sized language models.☆78Updated last year
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆60Updated 11 months ago
- Small, simple agent task environments for training and evaluation☆18Updated 9 months ago
- Code Implementation, Evaluations, Documentation, Links and Resources for Min P paper☆38Updated 4 months ago
- Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"☆86Updated last year
- Codebase for Instruction Following without Instruction Tuning☆35Updated 10 months ago