Alternatives and similar repositories for llm-speedrunner

Users that are interested in llm-speedrunner are comparing it to the libraries listed below

• tyler-romero / microR1
  Simple repository for training small reasoning models
  ☆37Updated 6 months ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆128Updated 8 months ago
• casper-hansen / OpenCoconut
  OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.
  ☆173Updated 7 months ago
• RobertCsordas / moeut
  ☆85Updated last year
• Alex-Gurung / ReasoningNCP
  Official repo for Learning to Reason for Long-Form Story Generation
  ☆68Updated 4 months ago
• VatsaDev / NanoPoor
  NanoGPT-speedrunning for the poor T4 enjoyers
  ☆69Updated 4 months ago
• data-for-agents / insta
  Official Repo for InSTA: Towards Internet-Scale Training For Agents
  ☆54Updated last month
• OpenEvaByte / evabyte
  EvaByte: Efficient Byte-level Language Models at Scale
  ☆107Updated 4 months ago
• microsoft / ArchScale
  Simple & Scalable Pretraining for Neural Architecture Research
  ☆287Updated 2 weeks ago
• tokenbender / avataRL
  rl from zero pretrain, can it be done? yes.
  ☆250Updated last week
• google-deepmind / latent-multi-hop-reasoning
  [ACL 2024] Do Large Language Models Latently Perform Multi-Hop Reasoning?
  ☆73Updated 5 months ago
• joey00072 / ohara
  Collection of autoregressive model implementation
  ☆86Updated 4 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
• google-deepmind / asyncdiloco
  ☆45Updated last year
• JoeLi12345 / nGPT
  an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)
  ☆105Updated 5 months ago
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆90Updated 2 months ago
• benpry / why-think-step-by-step
  Code and data for the paper "Why think step by step? Reasoning emerges from the locality of experience"
  ☆61Updated 4 months ago
• NVIDIA / ngpt
  Normalized Transformer (nGPT)
  ☆186Updated 9 months ago
• ServiceNow / PipelineRL
  A scalable asynchronous reinforcement learning implementation with in-flight weight updates.
  ☆137Updated this week
• ahstat / episodic-memory-benchmark
  Synthetic data generation and benchmark implementation for "Episodic Memories Generation and Evaluation Benchmark for Large Language Mode…
  ☆51Updated 4 months ago
• bloc97 / DeMo
  DeMo: Decoupled Momentum Optimization
  ☆190Updated 8 months ago
• foundation-model-stack / bamba
  Train, tune, and infer Bamba model
  ☆131Updated 2 months ago
• facebookresearch / matrix
  Matrix (Multi-Agent daTa geneRation Infra and eXperimentation framework) is a versatile engine for multi-agent conversational data genera…
  ☆87Updated last week
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆44Updated 11 months ago
• tiiuae / onebitllms
  Lightweight toolkit package to train and fine-tune 1.58bit Language models
  ☆83Updated 3 months ago
• Zyphra / Zamba2
  PyTorch implementation of models from the Zamba2 series.
  ☆184Updated 7 months ago
• s-sahoo / Eso-LMs
  Esoteric Language Models
  ☆94Updated 3 weeks ago
• Danau5tin / calculator_agent_rl
  Training an LLM to use a calculator with multi-turn reinforcement learning, achieving a **62% absolute increase in evaluation accuracy**.
  ☆45Updated 3 months ago
• minyoungg / LTE
  ☆68Updated last year
• facebookresearch / aira-dojo
  AIRA-dojo: a framework for developing and evaluating AI research agents
  ☆90Updated 2 weeks ago