rasbt / dora-from-scratchLinks
LoRA and DoRA from Scratch Implementations
☆212Updated last year
Alternatives and similar repositories for dora-from-scratch
Users that are interested in dora-from-scratch are comparing it to the libraries listed below
Sorting:
- Implementation of DoRA☆301Updated last year
- An extension of the nanoGPT repository for training small MOE models.☆195Updated 6 months ago
- ☆227Updated last year
- From scratch implementation of a vision language model in pure PyTorch☆243Updated last year
- minimal GRPO implementation from scratch☆98Updated 6 months ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆201Updated last year
- ☆202Updated 10 months ago
- Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind☆178Updated last year
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆338Updated 5 months ago
- This repository contains an implementation of the LLaMA 2 (Large Language Model Meta AI) model, a Generative Pretrained Transformer (GPT)…☆72Updated 2 years ago
- A set of scripts and notebooks on LLM finetunning and dataset creation☆110Updated last year
- Implementation of the Llama architecture with RLHF + Q-learning☆168Updated 8 months ago
- A family of compressed models obtained via pruning and knowledge distillation☆352Updated 10 months ago
- Prune transformer layers☆69Updated last year
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)☆161Updated 5 months ago
- A minimal implementation of LLaVA-style VLM with interleaved image & text & video processing ability.☆96Updated 9 months ago
- Toolkit for attaching, training, saving and loading of new heads for transformer models☆289Updated 7 months ago
- Code for Adam-mini: Use Fewer Learning Rates To Gain More https://arxiv.org/abs/2406.16793☆437Updated 4 months ago
- This code repository contains the code used for my "Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch" blog po…☆92Updated 2 years ago
- Let's build better datasets, together!☆262Updated 9 months ago
- The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".☆176Updated 6 months ago
- PyTorch implementation of Infini-Transformer from "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention…☆291Updated last year
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆280Updated last month
- ☆221Updated 7 months ago
- Set of scripts to finetune LLMs☆38Updated last year
- Collection of autoregressive model implementation☆86Updated 5 months ago
- ☆124Updated 11 months ago
- Minimal example scripts of the Hugging Face Trainer, focused on staying under 150 lines☆195Updated last year
- A compact LLM pretrained in 9 days by using high quality data☆328Updated 5 months ago
- LLM Workshop by Sourab Mangrulkar☆395Updated last year