SkunkworksAI / hydra-moe
☆412Updated last year
Alternatives and similar repositories for hydra-moe:
Users that are interested in hydra-moe are comparing it to the libraries listed below
- Landmark Attention: Random-Access Infinite Context Length for Transformers☆423Updated last year
- batched loras☆341Updated last year
- Generate textbook-quality synthetic LLM pretraining data☆498Updated last year
- A bagel, with everything.☆320Updated last year
- This repository contains code and tooling for the Abacus.AI LLM Context Expansion project. Also included are evaluation scripts and bench…☆586Updated last year
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆697Updated last year
- ☆529Updated 8 months ago
- ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward exp…☆220Updated last year
- ☆92Updated last year
- Inference code for Persimmon-8B☆415Updated last year
- Multipack distributed sampler for fast padding-free training of LLMs☆188Updated 8 months ago
- Ungreedy subword tokenizer and vocabulary trainer for Python, Go & Javascript☆576Updated 10 months ago
- ☆94Updated last year
- Fine-tune mistral-7B on 3090s, a100s, h100s☆711Updated last year
- This is our own implementation of 'Layer Selective Rank Reduction'☆237Updated 11 months ago
- Tune any FALCON in 4-bit☆466Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆687Updated 8 months ago
- Code for fine-tuning Platypus fam LLMs using LoRA☆629Updated last year
- Merge Transformers language models by use of gradient parameters.☆208Updated 8 months ago
- Inference code for Mistral and Mixtral hacked up into original Llama implementation☆371Updated last year
- Convenient wrapper for fine-tuning and inference of Large Language Models (LLMs) with several quantization techniques (GTPQ, bitsandbytes…☆146Updated last year
- ☆458Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆362Updated last year
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆386Updated 9 months ago
- Code for the paper "Rethinking Benchmark and Contamination for Language Models with Rephrased Samples"☆301Updated last year
- ☆543Updated 4 months ago
- Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free☆231Updated 6 months ago
- Customizable implementation of the self-instruct paper.☆1,043Updated last year
- Landmark Attention: Random-Access Infinite Context Length for Transformers QLoRA☆123Updated last year
- Fast & more realistic evaluation of chat language models. Includes leaderboard.☆186Updated last year