evanmiller / LLM-Reading-ListLinks
LLM papers I'm reading, mostly on inference and model compression
☆747Updated last year
Alternatives and similar repositories for LLM-Reading-List
Users that are interested in LLM-Reading-List are comparing it to the libraries listed below
Sorting:
- What would you do with 1000 H100s...☆1,133Updated last year
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.☆829Updated 4 months ago
- Puzzles for exploring transformers☆380Updated 2 years ago
- Llama from scratch, or How to implement a paper without crying☆581Updated last year
- ☆581Updated last year
- Fine-tune mistral-7B on 3090s, a100s, h100s☆718Updated 2 years ago
- A comprehensive deep dive into the world of tokens☆227Updated last year
- An ML Systems Onboarding list☆945Updated 10 months ago
- 🤖 A PyTorch library of curated Transformer models and their composable components☆893Updated last year
- A benchmark to evaluate language models on questions I've previously asked them to solve.☆1,034Updated 7 months ago
- LLM Workshop by Sourab Mangrulkar☆397Updated last year
- Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wi…☆353Updated last year
- ☆863Updated 2 years ago
- ☆415Updated 2 years ago
- Fast & Simple repository for pre-training and fine-tuning T5-style models☆1,015Updated last year
- batched loras☆347Updated 2 years ago
- Building blocks for foundation models.☆583Updated last year
- Notes from the Latent Space paper club. Follow along or start your own!☆241Updated last year
- ☆460Updated last year
- Finetuning Large Language Models on One Consumer GPU in 2 Bits☆733Updated last year
- Fast bare-bones BPE for modern tokenizer training☆172Updated 5 months ago
- Ungreedy subword tokenizer and vocabulary trainer for Python, Go & Javascript☆606Updated last year
- Following Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish☆172Updated last year
- Project 2 (Building Large Language Models) for Stanford CS324: Understanding and Developing Large Language Models (Winter 2022)☆105Updated 2 years ago
- Slides, notes, and materials for the workshop☆335Updated last year
- An implementation of the transformer architecture onto an Nvidia CUDA kernel☆196Updated 2 years ago
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆733Updated last year
- NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day☆258Updated 2 years ago
- Alex Krizhevsky's original code from Google Code☆198Updated 9 years ago
- Serving multiple LoRA finetuned LLM as one☆1,122Updated last year