geov-ai / geov
The GeoV model is a large langauge model designed by Georges Harik and uses Rotary Positional Embeddings with Relative distances (RoPER). We have shared a pre-trained 9B parameter model.
☆121Updated last year
Alternatives and similar repositories for geov:
Users that are interested in geov are comparing it to the libraries listed below
- Reimplementation of the task generation part from the Alpaca paper☆119Updated last year
- Full finetuning of large language models without large memory requirements☆93Updated last year
- Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.☆82Updated last year
- Command-line script for inferencing from models such as MPT-7B-Chat☆101Updated last year
- Code repository for the c-BTM paper☆105Updated last year
- Tune MPTs☆84Updated last year
- Modified Stanford-Alpaca Trainer for Training Replit's Code Model☆40Updated last year
- ☆92Updated last year
- Used for adaptive human in the loop evaluation of language and embedding models.☆306Updated last year
- ☆62Updated 4 months ago
- ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward exp…☆215Updated 10 months ago
- ☆22Updated last year
- Finetune Falcon, LLaMA, MPT, and RedPajama on consumer hardware using PEFT LoRA☆101Updated 6 months ago
- Instruct-tuning LLaMA on consumer hardware☆66Updated last year
- an implementation of Self-Extend, to expand the context window via grouped attention☆118Updated last year
- ☆48Updated last year
- [Added T5 support to TRLX] A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)☆47Updated 2 years ago
- Exploring finetuning public checkpoints on filter 8K sequences on Pile☆115Updated last year
- Smol but mighty language model☆63Updated last year
- ☆143Updated last year
- Evaluating LLMs with CommonGen-Lite☆88Updated 11 months ago
- A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs☆114Updated 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…☆164Updated last year
- Extend the original llama.cpp repo to support redpajama model.☆117Updated 5 months ago
- An all-new Language Model That Processes Ultra-Long Sequences of 100,000+ Ultra-Fast☆144Updated 5 months ago
- Zeus LLM Trainer is a rewrite of Stanford Alpaca aiming to be the trainer for all Large Language Models☆69Updated last year
- Multi-Domain Expert Learning☆67Updated last year
- ☆34Updated last year
- MiniHF is an inference, human preference data collection, and fine-tuning tool for local language models. It is intended to help the user…☆164Updated this week
- ☆94Updated last year