huggingface / transformers-bloom-inferenceLinks
Fast Inference Solutions for BLOOM
☆565Updated last year
Alternatives and similar repositories for transformers-bloom-inference
Users that are interested in transformers-bloom-inference are comparing it to the libraries listed below
Sorting:
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆1,422Updated last year
- Crosslingual Generalization through Multitask Finetuning☆537Updated last year
- Official repository for LongChat and LongEval☆531Updated last year
- Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.☆1,005Updated last year
- ☆413Updated last year
- Large-scale model inference.☆631Updated 2 years ago
- Code used for sourcing and cleaning the BigScience ROOTS corpus☆316Updated 2 years ago
- Automatically split your PyTorch models on multiple GPUs for training & inference☆657Updated last year
- ☆546Updated 10 months ago
- distributed trainer for LLMs☆581Updated last year
- Scalable PaLM implementation of PyTorch☆188Updated 2 years ago
- Plain pytorch implementation of LLaMA☆188Updated 2 years ago
- LOMO: LOw-Memory Optimization☆988Updated last year
- train llama on a single A100 80G node using 🤗 transformers and 🚀 Deepspeed Pipeline Parallelism☆224Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆548Updated last year
- Examples of training models with hybrid parallelism using ColossalAI☆339Updated 2 years ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆704Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆631Updated last year
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,288Updated 7 months ago
- GPTQ inference Triton kernel☆310Updated 2 years ago
- [NIPS2023] RRHF & Wombat☆811Updated 2 years ago
- Code for fine-tuning Platypus fam LLMs using LoRA☆628Updated last year
- Efficient Training (including pre-training and fine-tuning) for Big Models☆611Updated last month
- ☆765Updated last year
- ☆457Updated 2 years ago
- Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks☆209Updated last year
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,202Updated last year
- Ongoing research training transformer models at scale☆392Updated last year
- Finetuning Large Language Models on One Consumer GPU in 2 Bits☆730Updated last year
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆722Updated last year