BlackSamorez / tensor_parallelLinks
Automatically split your PyTorch models on multiple GPUs for training & inference
☆656Updated 2 years ago
Alternatives and similar repositories for tensor_parallel
Users that are interested in tensor_parallel are comparing it to the libraries listed below
Sorting:
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,315Updated 10 months ago
- Large Context Attention☆764Updated 3 months ago
- distributed trainer for LLMs☆588Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆639Updated last year
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆473Updated last year
- Fast Inference Solutions for BLOOM☆566Updated last year
- Microsoft Automatic Mixed Precision Library☆635Updated 2 months ago
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆751Updated last year
- Official PyTorch implementation of QA-LoRA☆145Updated last year
- ☆552Updated last year
- Ring attention implementation with flash attention☆973Updated 4 months ago
- Code for the ALiBi method for transformer language models (ICLR 2022)☆549Updated 2 years ago
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆1,431Updated last year
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,005Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆713Updated last year
- Scalable toolkit for efficient model alignment☆848Updated 3 months ago
- Explorations into some recent techniques surrounding speculative decoding☆299Updated last year
- Pipeline Parallelism for PyTorch☆785Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆455Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆409Updated last year
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆865Updated last year
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆1,105Updated last year
- Rectified Rotary Position Embeddings☆387Updated last year
- GPTQ inference Triton kernel☆322Updated 2 years ago
- Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch☆549Updated 8 months ago
- train llama on a single A100 80G node using 🤗 transformers and 🚀 Deepspeed Pipeline Parallelism☆224Updated 2 years ago
- A simple and effective LLM pruning approach.☆846Updated last year
- Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch☆654Updated last year
- LOMO: LOw-Memory Optimization☆987Updated last year
- Serving multiple LoRA finetuned LLM as one☆1,134Updated last year