galatolofederico / vanilla-llamaLinks
Plain pytorch implementation of LLaMA
☆188Updated 2 years ago
Alternatives and similar repositories for vanilla-llama
Users that are interested in vanilla-llama are comparing it to the libraries listed below
Sorting:
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆617Updated last year
- Fast Inference Solutions for BLOOM☆564Updated 8 months ago
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆456Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆692Updated 10 months ago
- GPTQ inference Triton kernel☆302Updated 2 years ago
- Crosslingual Generalization through Multitask Finetuning☆536Updated 9 months ago
- Official PyTorch implementation of QA-LoRA☆137Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆396Updated last year
- Rectified Rotary Position Embeddings☆373Updated last year
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆640Updated 11 months ago
- Official repository for LongChat and LongEval☆521Updated last year
- ☆458Updated last year
- ☆543Updated 6 months ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,131Updated last year
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆810Updated 10 months ago
- ☆535Updated last year
- train llama on a single A100 80G node using 🤗 transformers and 🚀 Deepspeed Pipeline Parallelism☆221Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆431Updated 5 months ago
- This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as…☆352Updated last year
- Collaborative Training of Large Language Models in an Efficient Way☆415Updated 9 months ago
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆1,026Updated 8 months ago
- DSIR large-scale data selection framework for language model training☆251Updated last year
- [NIPS2023] RRHF & Wombat☆808Updated last year
- Reorder-based post-training quantization for large language model☆191Updated 2 years ago
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆545Updated last year
- Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks☆208Updated last year
- RWKV is a RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best …☆413Updated last year
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆335Updated last year
- Finetuning Large Language Models on One Consumer GPU in 2 Bits☆724Updated last year
- Naive Bayes-based Context Extension☆326Updated 6 months ago