Alternatives and similar repositories for hash-hop

Users that are interested in hash-hop are comparing it to the libraries listed below

• casper-hansen / OpenCoconut
  OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.
  ☆172Updated 8 months ago
• HazyResearch / cartridges
  Storing long contexts in tiny caches with self-study
  ☆192Updated 3 weeks ago
• PrimeIntellect-ai / genesys
  ☆133Updated 6 months ago
• dust-tt / llama-ssp
  Experiments on speculative sampling with Llama models
  ☆128Updated 2 years ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆130Updated 10 months ago
• OpenEvaByte / evabyte
  EvaByte: Efficient Byte-level Language Models at Scale
  ☆109Updated 5 months ago
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆246Updated 8 months ago
• tokenbender / avataRL
  rl from zero pretrain, can it be done? yes.
  ☆274Updated last week
• teknium1 / LLM-Benchmark-Logs
  Just a bunch of benchmark logs for different LLMs
  ☆119Updated last year
• IBM / ModuleFormer
  ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward exp…
  ☆224Updated 2 weeks ago
• Zyphra / Zamba2
  PyTorch implementation of models from the Zamba2 series.
  ☆185Updated 8 months ago
• LeonGuertler / UnstableBaselines
  ☆103Updated 2 weeks ago
• kernelmachine / cbtm
  Code repository for the c-BTM paper
  ☆107Updated 2 years ago
• ScalingIntelligence / Archon
  Archon provides a modular framework for combining different inference-time techniques and LMs with just a JSON config file.
  ☆184Updated 6 months ago
• PrimeIntellect-ai / prime-rl
  Async RL Training at Scale
  ☆669Updated this week
• Alex-Gurung / ReasoningNCP
  Official repo for Learning to Reason for Long-Form Story Generation
  ☆72Updated 5 months ago
• justinchiu / openlogprobs
  Extract full next-token probabilities via language model APIs
  ☆248Updated last year
• PrimeIntellect-ai / prime-environments
  Training-Ready RL Environments + Evals
  ☆116Updated this week
• SalesforceAIResearch / LaTRO
  ☆123Updated 7 months ago
• InflectionAI / Inflection-Benchmarks
  Public Inflection Benchmarks
  ☆68Updated last year
• microsoft / ArchScale
  Simple & Scalable Pretraining for Neural Architecture Research
  ☆296Updated last month
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆229Updated last week
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆240Updated 4 months ago
• rgreenblatt / arc_draw_more_samples_pub
  Draw more samples
  ☆194Updated last year
• imoneoi / multipack
  Multipack distributed sampler for fast padding-free training of LLMs
  ☆201Updated last year
• facebookresearch / memory
  Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…
  ☆343Updated 9 months ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆129Updated 9 months ago
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆277Updated last year
• commit-0 / commit0
  Commit0: Library Generation from Scratch
  ☆168Updated 4 months ago
• kanishkg / stream-of-search
  Repository for the paper Stream of Search: Learning to Search in Language
  ☆151Updated 8 months ago