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MLX

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CUDA optimization knowledge is translated into architecture‑native MLX strategies rather than copying instruction‑for‑instruction K-Search has a backend for Apple Silicon’s MLX framework AMIE was published in Nature AMIE was published in Nature Medicine AMIE was published in The Lancet AMIE was used at Beth Israel Deaconess Medical Center AMIE partnered with Included Health Mistral Large 4 ranks in Dense 200 visual grounding Kunak PROVIDES_TO Des Moines Claudia Barrios Obregón WORKS_IN Kunak Muse Spark Open AI model uses the MLX framework MLX framework runs on Apple Silicon AnyLanguageModel 1.0 uses MLX for open‑weight models MLX uses Qwen3.8 27B model in GGUF format· Entity summary generated by Graphiti

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15Relations
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15Current
EVENTS
4Events
REPORTS
6Source reports
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BY VALID-FROM DATE
  1. MLXUSESQwen3.8 27B

    MLX uses Qwen3.8 27B model in GGUF format

    Current1 sourceQwen3.8 27B
  2. AnyLanguageModel 1.0USESMLX

    AnyLanguageModel 1.0 uses MLX for open‑weight models

    Current1 sourceAnyLanguageModel 1.0
  3. Marlan SpaceWORKS INMLX

    Claudia Barrios Obregón WORKS_IN Kunak

    Current1 sourceMarlan Space
  4. MLXWORKS INMarlan Space

    Johan Lundström WORKS_IN Karolinska Institute

    Current1 sourceMarlan Space
  5. MLXPROVIDES TODes Moines

    Kunak PROVIDES_TO Des Moines

    Current1 sourceDes Moines
  6. Muse Spark OpenUSESMLX

    Muse Spark Open AI model uses the MLX framework

    Current1 sourceMuse Spark Open
  7. MLXRUNS ONApple Silicon

    MLX framework runs on Apple Silicon

    Current1 sourceApple Silicon
  8. MLXUSED ATMagic Pointer

    AMIE was used at Beth Israel Deaconess Medical Center

    Current1 sourceMagic Pointer
  9. MLXPARTNERED WITHMagic Pointer

    AMIE partnered with Included Health

    Current1 sourceMagic Pointer
  10. MLXPUBLISHED INCC in Google Labs

    AMIE was published in The Lancet

    Current1 sourceCC in Google Labs
  11. MLXPUBLISHED INGoogle Cloud

    AMIE was published in Nature Medicine

    Current1 sourceGoogle Cloud
  12. MLXPUBLISHED INNature

    AMIE was published in Nature

    Current1 sourceNature
  13. Mistral Large 4RANKED INMLX

    Mistral Large 4 ranks in Dense 200 visual grounding

    Current1 sourceMistral Large 4
  14. CUDATRANSLATES TOMLX

    CUDA optimization knowledge is translated into architecture‑native MLX strategies rather than copying instruction‑for‑instruction

    Current1 sourceCUDA
  15. K-SearchHAS BACKEND FORMLX

    K-Search has a backend for Apple Silicon’s MLX framework

    Current1 sourceK-Search

Relations are facts Graphiti extracted from reports, not verbatim quotes. An end date means later reporting showed the relation no longer holds.