Alternatives and similar repositories for bigcode-inference-benchmark

Users that are interested in bigcode-inference-benchmark are comparing it to the libraries listed below

• hadasah / btm
  ☆76Updated last year
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆79Updated last year
• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆138Updated last year
• microsoft / mutransformers
  some common Huggingface transformers in maximal update parametrization (µP)
  ☆87Updated 3 years ago
• huggingface / olm-training
  Repo for training MLMs, CLMs, or T5-type models on the OLM pretraining data, but it should work with any hugging face text dataset.
  ☆96Updated 2 years ago
• sunyt32 / torchscale
  Transformers at any scale
  ☆42Updated last year
• frankxu2004 / knnlm-why
  Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"
  ☆59Updated 2 years ago
• siyan-zhao / prepacking
  The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …
  ☆60Updated last year
• allenai / bff
  ☆38Updated last year
• krandiash / quinine
  A library to create and manage configuration files, especially for machine learning projects.
  ☆79Updated 3 years ago
• cat-state / tinypar
  ☆20Updated 2 years ago
• zphang / minimal-opt
  ☆67Updated 3 years ago
• huggingface / bloom-jax-inference
  ☆66Updated 3 years ago
• kernelmachine / cbtm
  Code repository for the c-BTM paper
  ☆108Updated 2 years ago
• jaymody / speculative-sampling
  Simple implementation of Speculative Sampling in NumPy for GPT-2.
  ☆98Updated 2 years ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆100Updated last year
• anadim / the-little-retrieval-test
  ☆34Updated 2 years ago
• guy-dar / embedding-space
  ☆56Updated 2 years ago
• xrsrke / pipegoose
  Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*
  ☆87Updated 2 years ago
• tanyuqian / redco
  NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
  ☆69Updated last year
• EleutherAI / semantic-memorization
  ☆44Updated last year
• EleutherAI / improved-t5
  Experiments for efforts to train a new and improved t5
  ☆76Updated last year
• HomebrewML / HomebrewNLP-torch
  A case study of efficient training of large language models using commodity hardware.
  ☆68Updated 3 years ago
• open-lm-engine / lm-engine
  LM engine is a library for pretraining/finetuning LLMs
  ☆102Updated this week
• PythonNut / superbpe
  Official code release for "SuperBPE: Space Travel for Language Models"
  ☆77Updated last month
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆20Updated 10 months ago
• mgmalek / efficient_cross_entropy
  ☆121Updated last year
• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆74Updated last year
• Lightning-Universe / lightning-ColossalAI
  Large Scale Distributed Model Training strategy with Colossal AI and Lightning AI
  ☆56Updated 2 years ago
• huggingface / transformers_bloom_parallel
  Techniques used to run BLOOM at inference in parallel
  ☆37Updated 3 years ago