Alternatives and similar repositories for ArchScale

Users that are interested in ArchScale are comparing it to the libraries listed below

• OpenEvaByte / evabyte
  EvaByte: Efficient Byte-level Language Models at Scale
  ☆109Updated 5 months ago
• JoeLi12345 / nGPT
  an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)
  ☆105Updated 7 months ago
• HazyResearch / cartridges
  Storing long contexts in tiny caches with self-study
  ☆194Updated 3 weeks ago
• microsoft / dion
  Dion optimizer algorithm
  ☆361Updated last week
• casper-hansen / OpenCoconut
  OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.
  ☆172Updated 8 months ago
• tokenbender / avataRL
  rl from zero pretrain, can it be done? yes.
  ☆275Updated last week
• Zyphra / Zamba2
  PyTorch implementation of models from the Zamba2 series.
  ☆185Updated 8 months ago
• eqimp / hogwild_llm
  Official PyTorch implementation for Hogwild! Inference: Parallel LLM Generation with a Concurrent Attention Cache
  ☆125Updated last month
• ServiceNow / Fast-LLM
  Accelerating your LLM training to full speed! Made with ❤️ by ServiceNow Research
  ☆237Updated last week
• tilde-research / MoMoE-impl
  Memory optimized Mixture of Experts
  ☆68Updated 2 months ago
• allenai / OLMo-core
  PyTorch building blocks for the OLMo ecosystem
  ☆305Updated this week
• tiiuae / Falcon-H1
  All information and news with respect to Falcon-H1 series
  ☆90Updated this week
• changjonathanc / flex-nano-vllm
  FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
  ☆290Updated 2 months ago
• facebookresearch / memory
  Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…
  ☆342Updated 9 months ago
• google-deepmind / latent-multi-hop-reasoning
  [ACL 2024] Do Large Language Models Latently Perform Multi-Hop Reasoning?
  ☆77Updated 6 months ago
• jxmorris12 / cde
  code for training & evaluating Contextual Document Embedding models
  ☆197Updated 4 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆293Updated last week
• apple / ml-l3m
  Large multi-modal models (L3M) pre-training.
  ☆186Updated 2 weeks ago
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆247Updated 8 months ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆130Updated 10 months ago
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆196Updated 7 months ago
• antimatter15 / reverse-engineering-gemma-3n
  Reverse Engineering Gemma 3n: Google's New Edge-Optimized Language Model
  ☆243Updated 4 months ago
• s-smits / grpo-optuna
  Optimizing Causal LMs through GRPO with weighted reward functions and automated hyperparameter tuning using Optuna
  ☆55Updated 8 months ago
• facebookresearch / llm-speedrunner
  The Automated LLM Speedrunning Benchmark measures how well LLM agents can reproduce previous innovations and discover new ones in languag…
  ☆99Updated 2 months ago
• ServiceNow / PipelineRL
  A scalable asynchronous reinforcement learning implementation with in-flight weight updates.
  ☆151Updated this week
• ScalingIntelligence / Archon
  Archon provides a modular framework for combining different inference-time techniques and LMs with just a JSON config file.
  ☆184Updated 7 months ago
• google-deepmind / regress-lm
  Library for text-to-text regression, applicable to any input string representation and allows pretraining and fine-tuning over multiple r…
  ☆236Updated last week
• huggingface / picotron_tutorial
  ☆222Updated last week
• PrimeIntellect-ai / genesys
  ☆135Updated 6 months ago
• OpenPipe / deductive-reasoning
  Train your own SOTA deductive reasoning model
  ☆107Updated 7 months ago