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MLLM
2.0.0 documentation
MLLM
2.0.0 documentation
  • Quick Start
    • How to Support a New LLM: Step-by-Step
    • How to Add a New Operator in MLLM
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  • Mllm API Service
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  • Architectures
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    • Tensor
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  • Compile
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    • Data Types in MLLM
    • How to Add New Data Types
  • MLLM LM Cache
  • CPU Backend
    • Parallel API and Thread Configuration in MLLM
    • FA2, Radix, Paged
    • CPU ARM Backend
      • MLLM Self Hosted BLAS
      • Multithread Behaviors in CPU Backend
    • CPU X86 Backend
  • Ascend Backend
    • Ascend Backend
  • QNN Backend
    • QNN Environment Setup
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  • OpenCL Backend
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Pymllm API

  • pymllm
    • pymllm.backends
      • pymllm.backends.cuda
        • pymllm.backends.cuda.tilelang_compile_test
      • pymllm.backends.qualcomm
        • pymllm.backends.qualcomm.nn
        • pymllm.backends.qualcomm.qnn_aot_env
    • pymllm.compile
      • pymllm.compile.mlir
    • pymllm.convertor
      • pymllm.convertor.mllm_type_mapping
      • pymllm.convertor.model_file_v1
      • pymllm.convertor.model_file_v2
    • pymllm.ffi
      • pymllm.ffi.base
    • pymllm.nn
      • pymllm.nn.functional
    • pymllm.quantize
      • pymllm.quantize.cast2fp32_pass
      • pymllm.quantize.gguf
      • pymllm.quantize.kai
        • pymllm.quantize.kai.w4a32
      • pymllm.quantize.pipeline
      • pymllm.quantize.quantize_pass
      • pymllm.quantize.solver
      • pymllm.quantize.spinquant
    • pymllm.service
      • pymllm.service.models_hub
      • pymllm.service.network
      • pymllm.service.rr_process
      • pymllm.service.tools
    • pymllm.utils
      • pymllm.utils.adb
      • pymllm.utils.error_handler
      • pymllm.utils.mllm_convertor
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pymllm.backends.qualcomm¶

Submodules¶

  • pymllm.backends.qualcomm.nn
  • pymllm.backends.qualcomm.qnn_aot_env
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