Alternatives and similar repositories for mini_trainer

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

• google-deepmind / loft
  LOFT: A 1 Million+ Token Long-Context Benchmark
  ☆222Updated 6 months ago
• protagolabs / odyssey-math
  ☆85Updated 11 months ago
• McGill-NLP / VinePPO
  Code for the paper "VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment"
  ☆183Updated 7 months ago
• nouhadziri / faith-and-fate
  ☆39Updated last year
• neubig / research-career-tools
  ☆165Updated last year
• princeton-nlp / HELMET
  The HELMET Benchmark
  ☆197Updated last month
• ServiceNow / PipelineRL
  A scalable asynchronous reinforcement learning implementation with in-flight weight updates.
  ☆343Updated 2 weeks ago
• allenai / olmes
  Reproducible, flexible LLM evaluations
  ☆316Updated last month
• gregorbachmann / Next-Token-Failures
  ☆107Updated last year
• thinking-machines-lab / tinker-project-ideas
  Ideas for projects related to Tinker
  ☆141Updated 2 months ago
• ryoungj / ObsScaling
  [NeurIPS'24 Spotlight] Observational Scaling Laws
  ☆59Updated last year
• HKUNLP / diffusion-vs-ar
  [ICLR 2025] Code for the paper "Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning"
  ☆87Updated 10 months ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆100Updated last year
• hamishivi / EasyLM
  Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…
  ☆78Updated last year
• bbartoldson / TBA
  Official implementation of TBA for async LLM post-training.
  ☆27Updated 2 months ago
• princeton-nlp / ProLong
  Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"
  ☆243Updated 3 months ago
• anadim / the-little-retrieval-test
  ☆34Updated 2 years ago
• nightdessert / Retrieval_Head
  open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality
  ☆226Updated last year
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆124Updated last year
• GFNOrg / gfn-lm-tuning
  ☆185Updated last year
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆248Updated 3 months ago
• princeton-nlp / USACO
  Can Language Models Solve Olympiad Programming?
  ☆124Updated 11 months ago
• facebookresearch / iGSM
  The code for creating the iGSM datasets in papers "Physics of Language Models Part 2.1, Grade-School Math and the Hidden Reasoning Proces…
  ☆81Updated 11 months ago
• aryamanarora / causalgym
  CausalGym: Benchmarking causal interpretability methods on linguistic tasks
  ☆51Updated last year
• hughbzhang / o1_inference_scaling_laws
  Replicating O1 inference-time scaling laws
  ☆91Updated last year
• XiangLi1999 / AutoBencher
  ☆32Updated last year
• berlino / seq_icl
  ☆53Updated last year
• justinchiu / openlogprobs
  Extract full next-token probabilities via language model APIs
  ☆248Updated last year
• roeehendel / icl_task_vectors
  ☆103Updated 2 years ago
• mnoukhov / async_rlhf
  Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models
  ☆68Updated 8 months ago