marin-community/levanter

• hightopics#1

  Add relevant topics to the repository

  Why:

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  jax, llm, large-language-models, deep-learning, machine-learning, foundation-models, named-tensors, haliax, distributed-training

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• highreadme#2

  Reframe README's opening to clarify Levanter's current utility despite merger

  Why:

  CURRENT

  # Levanter
  
  > [!IMPORTANT]
  > **Levanter has been merged into Marin** as of November 2025.
  >
  > All active development now happens in the Marin monorepo at `lib/levanter/`.
  >
  > Issues**: Please open new issues at marin-community/marin
  > Pull Requests**: Submit new PRs to marin-community/marin
  > Installation**: `pip install levanter` still works
  >
  > See marin#1773 and marin#1723 for details on the merger.
  
  <a href="https://github.com/stanford-crfm/levanter/actions?query=branch%3Amain++">
      
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  <a href="https://levanter.readthedocs.io/en/latest/?badge=latest">
      
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  <a href="https://https://pypi.org/project/levanter/">
      
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  > *You could not prevent a thunderstorm, but you could use the electricity; you could not direct the wind, but you could trim your sail so as to propel your vessel as you pleased, no matter which way the wind blew.* <br/>
  > — Cora L. V. Hatch
  
  Levanter is a framework for training large language models (LLMs) and other foundation models that strives for legibility, scalability, and reproducibility:

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  # Levanter: A Legible, Scalable, Reproducible Framework for JAX-based Foundation Models
  
  Levanter is a powerful framework for training large language models (LLMs) and other foundation models, designed for legibility, scalability, and reproducibility. It leverages our named tensor library Haliax to write easy-to-follow, composable deep learning code, while still being high performance and capable of scaling to large models on various hardware, including GPUs and TPUs.
  
  > [!IMPORTANT]
  > **Levanter has been merged into Marin** as of November 2025.
  >
  > All active development now happens in the Marin monorepo at `lib/levanter/`.
  >
  > Issues**: Please open new issues at marin-community/marin
  > Pull Requests**: Submit new PRs to marin-community/marin
  > Installation**: `pip install levanter` still works
  >
  > See marin#1773 and marin#1723 for details on the merger.
  
  <a href="https://github.com/stanford-crfm/levanter/actions?query=branch%3Amain++">
      
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  <a href="https://levanter.readthedocs.io/en/latest/?badge=latest">
      
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  </a>
  <a href="https://https://pypi.org/project/levanter/">
      
  </a>
  
  > *You could not prevent a thunderstorm, but you could use the electricity; you could not direct the wind, but you could trim your sail so as to propel your vessel as you pleased, no matter which way the wind blew.* <br/>
  > — Cora L. V. Hatch

  OpenDoneDismiss
• mediumabout#3

  Enhance the repository description with explicit keywords

  Why:

  CURRENT

  Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax

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  A legible, scalable, and reproducible JAX-based framework for training Large Language Models (LLMs) and other foundation models with named tensors.

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Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  Seeking a scalable and reproducible framework for training large language models using Jax.

  you: not recommended
  AI recommended (in order):

  1. JAX
  2. Flax
  3. Orbax
  4. JAX-Pallas
  5. Hugging Face Transformers
  6. Haiku
  7. Equinox
  8. Trax

  AI recommended 8 alternatives but never named marin-community/levanter. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  What tools offer legible deep learning code using named tensors for complex models?

  you: not recommended
  AI recommended (in order):

  1. TensorFlow
  2. Keras
  3. tf.experimental.NamedTensor
  4. PyTorch
  5. einops (einops/einops)
  6. JAX (google/jax)
  7. Keras
  8. PyTorch
  9. dm-tree (deepmind/tree)

  AI recommended 9 alternatives but never named marin-community/levanter. This is the gap to close.

  Show full AI answer

• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of marin-community/levanter?

  pass
  ✓AI named marin-community/levanter explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts marin-community/levanter in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named marin-community/levanter explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo marin-community/levanter solve, and who is the primary audience?

  pass
  ✓AI named marin-community/levanter explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?