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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
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Pymllm API

  • pymllm
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      • pymllm.layers.base
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            • pymllm.mobile.backends.qualcomm.transformers.core
              • pymllm.mobile.backends.qualcomm.transformers.core.embedding
              • pymllm.mobile.backends.qualcomm.transformers.core.observer
              • pymllm.mobile.backends.qualcomm.transformers.core.qdq
              • pymllm.mobile.backends.qualcomm.transformers.core.qlinear
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      • pymllm.mobile.convertor
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      • pymllm.mobile.ffi
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        • pymllm.mobile.nn.functional
      • pymllm.mobile.quantize
        • pymllm.mobile.quantize.cast2fp32_pass
        • pymllm.mobile.quantize.gguf
        • pymllm.mobile.quantize.kai
          • pymllm.mobile.quantize.kai.w4a32
        • pymllm.mobile.quantize.pipeline
        • pymllm.mobile.quantize.quantize_pass
        • pymllm.mobile.quantize.solver
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      • pymllm.mobile.service
        • pymllm.mobile.service.models_hub
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      • pymllm.orchestrator.parallel_state
      • pymllm.orchestrator.request_response_process
      • pymllm.orchestrator.scheduler_process
      • pymllm.orchestrator.shared_memory_queue
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    • pymllm.parsers
      • pymllm.parsers.reasoning_parser
      • pymllm.parsers.tool_call_parser
    • pymllm.quantization
      • pymllm.quantization.kernels
        • pymllm.quantization.kernels.int8_activation_triton
      • pymllm.quantization.methods
        • pymllm.quantization.methods.awq_marlin
        • pymllm.quantization.methods.compressed_tensors
      • pymllm.quantization.quant_config
    • pymllm.server
      • pymllm.server.launch
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test_mrope_triton¶

Functions¶

test_apply_mrope_fused_matches_reference_and_keeps_inputs_in_place()

Module Contents¶

test_mrope_triton.test_apply_mrope_fused_matches_reference_and_keeps_inputs_in_place()¶
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  • test_mrope_triton
    • Functions
    • Module Contents
      • test_apply_mrope_fused_matches_reference_and_keeps_inputs_in_place()