BlackSamorez / tensor_parallel
Automatically split your PyTorch models on multiple GPUs for training & inference
☆650Updated last year
Alternatives and similar repositories for tensor_parallel:
Users that are interested in tensor_parallel are comparing it to the libraries listed below
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,221Updated 3 weeks ago
- Fast Inference Solutions for BLOOM☆562Updated 5 months ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆598Updated last year
- Large Context Attention☆696Updated 2 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆783Updated 6 months ago
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆448Updated 11 months ago
- distributed trainer for LLMs☆568Updated 10 months ago
- Microsoft Automatic Mixed Precision Library☆587Updated 6 months ago
- Pipeline Parallelism for PyTorch☆760Updated 7 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆683Updated 7 months ago
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆1,380Updated last year
- Scalable toolkit for efficient model alignment☆753Updated last week
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆706Updated 6 months ago
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.☆1,113Updated last week
- Code for the ALiBi method for transformer language models (ICLR 2022)☆520Updated last year
- Ring attention implementation with flash attention☆717Updated last month
- train llama on a single A100 80G node using 🤗 transformers and 🚀 Deepspeed Pipeline Parallelism☆216Updated last year
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,067Updated last year
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,373Updated 8 months ago
- A simple and effective LLM pruning approach.☆727Updated 7 months ago
- ☆542Updated 3 months ago
- Serving multiple LoRA finetuned LLM as one☆1,042Updated 10 months ago
- GPTQ inference Triton kernel☆299Updated last year
- Official PyTorch implementation of QA-LoRA☆129Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆393Updated 10 months ago
- LOMO: LOw-Memory Optimization☆982Updated 8 months ago
- Code used for sourcing and cleaning the BigScience ROOTS corpus☆309Updated 2 years ago
- batched loras☆340Updated last year
- Fast inference from large lauguage models via speculative decoding☆695Updated 7 months ago
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆458Updated last week