geronimi73 / phi2-finetuneLinks
☆86Updated 2 years ago
Alternatives and similar repositories for phi2-finetune
Users that are interested in phi2-finetune are comparing it to the libraries listed below
Sorting:
- Just a bunch of benchmark logs for different LLMs☆119Updated last year
- Evaluating LLMs with CommonGen-Lite☆94Updated last year
- Small and Efficient Mathematical Reasoning LLMs☆73Updated 2 years ago
- Simple GRPO scripts and configurations.☆59Updated last year
- Mixing Language Models with Self-Verification and Meta-Verification☆112Updated last year
- Code for NeurIPS LLM Efficiency Challenge☆60Updated last year
- Zeus LLM Trainer is a rewrite of Stanford Alpaca aiming to be the trainer for all Large Language Models☆70Updated 2 years ago
- Score LLM pretraining data with classifiers☆55Updated 2 years ago
- Collection of autoregressive model implementation☆85Updated this week
- ☆45Updated 2 years ago
- Lightweight demos for finetuning LLMs. Powered by 🤗 transformers and open-source datasets.☆77Updated last year
- Set of scripts to finetune LLMs☆38Updated last year
- Codebase accompanying the Summary of a Haystack paper.☆80Updated last year
- ☆23Updated 2 years ago
- ☆56Updated last year
- Notus is a collection of fine-tuned LLMs using SFT, DPO, SFT+DPO, and/or any other RLHF techniques, while always keeping a data-first app…☆169Updated 2 years ago
- Optimizing Causal LMs through GRPO with weighted reward functions and automated hyperparameter tuning using Optuna☆59Updated 3 months ago
- Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.☆83Updated 2 years ago
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆108Updated 4 months ago
- an implementation of Self-Extend, to expand the context window via grouped attention☆119Updated 2 years ago
- Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute…☆51Updated last year
- ☆94Updated 2 years ago
- Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free☆232Updated last year
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆61Updated last year
- ReBase: Training Task Experts through Retrieval Based Distillation☆29Updated last year
- ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward exp…☆226Updated 4 months ago
- Using multiple LLMs for ensemble Forecasting☆16Updated 2 years ago
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆175Updated last year
- Finetune Falcon, LLaMA, MPT, and RedPajama on consumer hardware using PEFT LoRA☆104Updated 8 months ago
- Using open source LLMs to build synthetic datasets for direct preference optimization☆72Updated last year