Alternatives and similar repositories for cartridges

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

• siyan-zhao / prepacking
  The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …
  ☆61Updated 10 months ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆128Updated 8 months ago
• ScalingIntelligence / Archon
  Archon provides a modular framework for combining different inference-time techniques and LMs with just a JSON config file.
  ☆177Updated 5 months ago
• OpenEvaByte / evabyte
  EvaByte: Efficient Byte-level Language Models at Scale
  ☆107Updated 4 months ago
• Alex-Gurung / ReasoningNCP
  Official repo for Learning to Reason for Long-Form Story Generation
  ☆68Updated 4 months ago
• microsoft / ArchScale
  Simple & Scalable Pretraining for Neural Architecture Research
  ☆287Updated 2 weeks ago
• jxmorris12 / cde
  code for training & evaluating Contextual Document Embedding models
  ☆197Updated 3 months ago
• character-ai / pipelining-sft
  Simple and efficient DeepSeek V3 SFT using pipeline parallel and expert parallel, with both FP8 and BF16 trainings
  ☆76Updated 3 weeks ago
• s-smits / grpo-optuna
  Optimizing Causal LMs through GRPO with weighted reward functions and automated hyperparameter tuning using Optuna
  ☆55Updated 6 months ago
• AnswerDotAI / cold-compress
  Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…
  ☆141Updated last year
• whyNLP / LCKV
  Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…
  ☆151Updated 4 months ago
• dust-tt / llama-ssp
  Experiments on speculative sampling with Llama models
  ☆128Updated 2 years ago
• google-deepmind / mishax
  ☆138Updated 4 months ago
• ServiceNow / PipelineRL
  A scalable asynchronous reinforcement learning implementation with in-flight weight updates.
  ☆137Updated this week
• google-deepmind / latent-multi-hop-reasoning
  [ACL 2024] Do Large Language Models Latently Perform Multi-Hop Reasoning?
  ☆73Updated 5 months ago
• Zyphra / Zamba2
  PyTorch implementation of models from the Zamba2 series.
  ☆184Updated 7 months ago
• casper-hansen / OpenCoconut
  OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.
  ☆173Updated 7 months ago
• pyember / ember
  ☆217Updated last month
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆244Updated 6 months ago
• wdlctc / mini-s
  ☆51Updated 9 months ago
• huggingface / kernel-builder
  👷 Build compute kernels
  ☆106Updated last week
• tyler-romero / microR1
  Simple repository for training small reasoning models
  ☆37Updated 6 months ago
• magicproduct / hash-hop
  Long context evaluation for large language models
  ☆220Updated 5 months ago
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆221Updated last month
• tokenbender / avataRL
  rl from zero pretrain, can it be done? yes.
  ☆250Updated last week
• tilde-research / MoMoE-impl
  Memory optimized Mixture of Experts
  ☆54Updated 3 weeks ago
• HazyResearch / train-tk
  train with kittens!
  ☆62Updated 9 months ago
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆90Updated 2 months ago
• felipemaiapolo / tinyBenchmarks
  Evaluating LLMs with fewer examples
  ☆160Updated last year
• snowflakedb / ArcticTraining
  ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)
  ☆200Updated last week