Alternatives and similar repositories for transformers-bloom-inference

Users that are interested in transformers-bloom-inference are comparing it to the libraries listed below

• bigscience-workshop / Megatron-DeepSpeed
  Ongoing research training transformer language models at scale, including: BERT & GPT-2
  ☆1,415Updated last year
• bigscience-workshop / xmtf
  Crosslingual Generalization through Multitask Finetuning
  ☆535Updated 11 months ago
• triton-inference-server / fastertransformer_backend
  ☆412Updated last year
• bigscience-workshop / data-preparation
  Code used for sourcing and cleaning the BigScience ROOTS corpus
  ☆314Updated 2 years ago
• DachengLi1 / LongChat
  Official repository for LongChat and LongEval
  ☆532Updated last year
• bigscience-workshop / bigscience
  Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.
  ☆1,006Updated last year
• hpcaitech / EnergonAI
  Large-scale model inference.
  ☆632Updated 2 years ago
• Vahe1994 / SpQR
  ☆547Updated 8 months ago
• BlackSamorez / tensor_parallel
  Automatically split your PyTorch models on multiple GPUs for training & inference
  ☆658Updated last year
• hpcaitech / PaLM-colossalai
  Scalable PaLM implementation of PyTorch
  ☆190Updated 2 years ago
• HuangLK / transpeeder
  train llama on a single A100 80G node using 🤗 transformers and 🚀 Deepspeed Pipeline Parallelism
  ☆224Updated last year
• OpenLMLab / LOMO
  LOMO: LOw-Memory Optimization
  ☆990Updated last year
• GanjinZero / RRHF
  [NIPS2023] RRHF & Wombat
  ☆812Updated last year
• hpcaitech / ColossalAI-Examples
  Examples of training models with hybrid parallelism using ColossalAI
  ☆340Updated 2 years ago
• epfLLM / Megatron-LLM
  distributed trainer for LLMs
  ☆580Updated last year
• hao-ai-lab / LookaheadDecoding
  [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
  ☆1,276Updated 6 months ago
• fpgaminer / GPTQ-triton
  GPTQ inference Triton kernel
  ☆307Updated 2 years ago
• OpenBMB / BMTrain
  Efficient Training (including pre-training and fine-tuning) for Big Models
  ☆606Updated 2 weeks ago
• XueFuzhao / InstructionWild
  ☆460Updated last year
• SqueezeAILab / SqueezeLLM
  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
  ☆704Updated last year
• galatolofederico / vanilla-llama
  Plain pytorch implementation of LLaMA
  ☆188Updated 2 years ago
• deepspeedai / DeepSpeed-MII
  MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
  ☆2,053Updated 2 months ago
• conceptofmind / LaMDA-rlhf-pytorch
  Open-source pre-training implementation of Google's LaMDA in PyTorch. Adding RLHF similar to ChatGPT.
  ☆472Updated last year
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆630Updated last year
• declare-lab / instruct-eval
  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  ☆547Updated last year
• IST-DASLab / gptq
  Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
  ☆2,179Updated last year
• LAION-AI / Open-Instruction-Generalist
  Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks
  ☆209Updated last year
• tatsu-lab / alpaca_farm
  A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
  ☆825Updated last year
• ruixiangcui / AGIEval
  ☆762Updated last year
• kuleshov-group / llmtools
  Finetuning Large Language Models on One Consumer GPU in 2 Bits
  ☆731Updated last year