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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· Graphiti 生成的实体摘要

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  1. MLXUSESQwen3.8 27B

    MLX uses Qwen3.8 27B model in GGUF format

    当前有效1 条来源Qwen3.8 27B
  2. AnyLanguageModel 1.0USESMLX

    AnyLanguageModel 1.0 uses MLX for open‑weight models

    当前有效1 条来源AnyLanguageModel 1.0
  3. Marlan SpaceWORKS INMLX

    Claudia Barrios Obregón WORKS_IN Kunak

    当前有效1 条来源Marlan Space
  4. MLXWORKS INMarlan Space

    Johan Lundström WORKS_IN Karolinska Institute

    当前有效1 条来源Marlan Space
  5. MLXPROVIDES TODes Moines

    Kunak PROVIDES_TO Des Moines

    当前有效1 条来源Des Moines
  6. Muse Spark OpenUSESMLX

    Muse Spark Open AI model uses the MLX framework

    当前有效1 条来源Muse Spark Open
  7. MLXRUNS ONApple Silicon

    MLX framework runs on Apple Silicon

    当前有效1 条来源Apple Silicon
  8. MLXUSED ATMagic Pointer

    AMIE was used at Beth Israel Deaconess Medical Center

    当前有效1 条来源Magic Pointer
  9. MLXPARTNERED WITHMagic Pointer

    AMIE partnered with Included Health

    当前有效1 条来源Magic Pointer
  10. MLXPUBLISHED INCC in Google Labs

    AMIE was published in The Lancet

    当前有效1 条来源CC in Google Labs
  11. MLXPUBLISHED INGoogle Cloud

    AMIE was published in Nature Medicine

    当前有效1 条来源Google Cloud
  12. MLXPUBLISHED INNature

    AMIE was published in Nature

    当前有效1 条来源Nature
  13. Mistral Large 4RANKED INMLX

    Mistral Large 4 ranks in Dense 200 visual grounding

    当前有效1 条来源Mistral Large 4
  14. CUDATRANSLATES TOMLX

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

    当前有效1 条来源CUDA
  15. K-SearchHAS BACKEND FORMLX

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

    当前有效1 条来源K-Search

关系是 Graphiti 从报道中提取的事实陈述，不是原文引述；失效时间表示后来的报道显示这条关系已不成立。

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来源报道 6