ggml-org/llama.cpp

26 other commands the scanner could not classify

Commands from CI steps and task runners that look like checks but match no known tool. Some are checks, some are not.

• Format-Table -AutoSize
• Format-Table FullName, Length -AutoSize
• New-Item -ItemType Directory -Force -Path $licensingDest
• bash scripts/check-requirements.sh
• bash scripts/make-release-checks.sh ${{ github.event.inputs.dry_run == true
• ccache --set-config=compiler_check=content
• ctest --test-dir ReleaseOV -L main -E $EXPR -C Release --verbose --timeout 3000
• ctest --test-dir build/ReleaseOV -L main -E $EXPR --verbose --timeout 3000
• ctest -C Release -L behavior -LE 'model
• ctest -L behavior -LE 'model
• ctest -L main --verbose --timeout 900
• ctest -L main -C Release --verbose --timeout 900
• ctest -L main -E "test-llama-archs
• ctest -L main -E tokenizer --verbose --timeout 900
• diff docs/ops.md /tmp/ops_check/ops.md
• editorconfig-checker
• for check in ${checks[@]}
• for type in ${TYPES[@]}
• local image_type=$1
• local image_type=$3
• local merged_tag=${PREFIX}${image_type}${suffix}
• python ../scripts/hip/gcn-cdna-vgpr-check.py metrics.log
• python scripts/snapdragon/qdc/run_qdc_jobs.py --test all --pkg-dir pkg-snapdragon/llama.cpp --model-url https://huggi...
• test-llama-context
• ty check --exit-zero-on-warning --output-format=github
• xargs -0 clang-format-22 --dry-run --Werror

full scan as JSON

• consolidate algorithmic patternsAvoid duplicating similar algorithmic logic across multiple functions by consolidating them into generic, templated, or trait-based imple...

  ggml-org/llama.cpp Algorithms CUDA llm-infra 2025-07-28

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• maintain naming consistencyFollow established naming patterns and conventions consistently throughout the codebase. This includes using consistent formatting (dashe...

  ggml-org/llama.cpp Naming Conventions C++ llm-infra 2025-07-27

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• eliminate code duplicationAvoid duplicating code blocks by extracting common functionality into reusable functions, using templates for type-generic operations, an...

  ggml-org/llama.cpp Code Style C++ llm-infra 2025-07-28

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• leverage existing framework functionalityBefore implementing custom solutions in AI model conversion code, thoroughly investigate whether the framework already provides the neede...

  ggml-org/llama.cpp AI Python llm-infra 2025-07-28

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• Follow naming conventionsMaintain consistency with established naming patterns and conventions throughout the codebase. This includes matching enum names with the...

  ggml-org/llama.cpp Naming Conventions Other llm-infra 2025-07-16

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• explicit control flow logicUse explicit control flow structures like switch statements instead of complex boolean logic or implicit reasoning when handling algorith...

  ggml-org/llama.cpp Algorithms C++ llm-infra 2025-07-14

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• use model metadataLeverage model metadata from GGUF format instead of hardcoded configuration values or filename-based logic. Model metadata provides autho...

  ggml-org/llama.cpp AI C++ llm-infra 2025-07-26

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• optimize memory access patternsEnsure CUDA kernels use optimal memory access patterns to maximize performance. This involves several key practices: 1. **Use `__restrict...

  ggml-org/llama.cpp Performance Optimization CUDA llm-infra 2025-07-24

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• measure before optimizingAlways profile and measure performance impact before implementing optimizations, especially micro-optimizations. Many seemingly beneficia...

  ggml-org/llama.cpp Performance Optimization C++ llm-infra 2025-07-16

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• AI parameter organizationEnsure proper organization and placement of AI model parameters, hyperparameters, and configuration options. Avoid parameter duplication ...

  ggml-org/llama.cpp AI Other llm-infra 2025-07-14

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• maintain code consistencyAlways follow the existing code style patterns and conventions found in the surrounding codebase rather than introducing new formatting a...

  ggml-org/llama.cpp Code Style Other llm-infra 2025-07-14

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• validate bounds before accessAlways validate array indices, buffer sizes, and container bounds before accessing elements to prevent out-of-bounds errors and undefined...

  ggml-org/llama.cpp Null Handling C++ llm-infra 2025-07-14

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• prioritize compile-time optimizationsIn performance-critical code, favor compile-time optimizations over runtime flexibility to enable better compiler optimizations and reduc...

  ggml-org/llama.cpp Performance Optimization Other llm-infra 2025-07-13

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• API minimalism principleKeep APIs minimal by avoiding redundant interfaces and preferring simple solutions over complex ones. When adding functionality, first co...

  ggml-org/llama.cpp API C++ llm-infra 2025-07-12

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• Choose appropriate error mechanismUse GGML_ASSERT for early validation and programming errors that indicate misconfigurations, but implement graceful error handling with l...

  ggml-org/llama.cpp Error Handling C++ llm-infra 2025-07-28

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• AI documentation precisionEnsure documentation for AI/ML tools and libraries is precise, complete, and properly formatted. This includes being specific about tool ...

  ggml-org/llama.cpp AI Markdown llm-infra 2025-07-27

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• systematic test coverageWhen writing tests that need to cover multiple scenarios (different data types, backend capabilities, etc.), structure them systematicall...

  ggml-org/llama.cpp Testing C++ llm-infra 2025-07-25

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• measure algorithm performance impactChoose algorithms based on measurable performance benefits rather than theoretical complexity advantages. Start with simpler implementati...

  ggml-org/llama.cpp Algorithms Other llm-infra 2025-07-14

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• Maintain consistent naming patternsFollow established naming conventions in the codebase and align with original source patterns while using modern, non-deprecated alternat...

  ggml-org/llama.cpp Naming Conventions Python llm-infra 2025-07-11

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• validate configuration options explicitlyWhen handling configuration options or tool types, use explicit conditional statements with proper error handling for unknown values inst...

  ggml-org/llama.cpp Configurations Python llm-infra 2025-07-09

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• optimize algorithmic complexityWhen implementing or refactoring algorithms, prioritize efficient data structures and computational approaches over simpler but slower al...

  ggml-org/llama.cpp Algorithms C llm-infra 2025-06-27

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• Metal shared memory sizingWhen allocating shared memory for Metal compute shaders, ensure proper sizing that accounts for both SIMD group requirements and Metal pl...

  ggml-org/llama.cpp Performance Optimization Objective-C llm-infra 2025-07-25

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• consistent clear namingEnsure variable and identifier names are both consistent and unambiguous within their context. When multiple equivalent naming options ex...

  ggml-org/llama.cpp Naming Conventions CUDA llm-infra 2025-07-23

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• Use precise documentation detailsDocumentation should provide specific, actionable information rather than vague or generic references. This applies to both technical spe...

  ggml-org/llama.cpp Documentation Markdown llm-infra 2025-07-23

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• prefer const variablesAdd the `const` qualifier to variables that are not modified after initialization. This improves code clarity, prevents accidental modifi...

  ggml-org/llama.cpp Code Style CUDA llm-infra 2025-07-22

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• Use strongly typed configurationsPrefer strongly typed configuration values over primitive types to improve code safety and clarity. Use enum classes instead of raw strin...

  ggml-org/llama.cpp Configurations C++ llm-infra 2025-07-16

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• Specify naming formats explicitlyWhen defining naming conventions in documentation, specifications, or APIs, explicitly specify the exact format and patterns to be used. ...

  ggml-org/llama.cpp Naming Conventions Markdown llm-infra 2025-07-11

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• implement or fail explicitlyAlgorithmic functions should either correctly implement their intended behavior or explicitly fail with an error, rather than silently re...

  ggml-org/llama.cpp Algorithms Python llm-infra 2025-07-10

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• optimize code placementEnsure code is placed in its most logical and efficient location to improve maintainability and performance. This includes consolidating ...

  ggml-org/llama.cpp Code Style Objective-C llm-infra 2025-07-09

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• explicit performance handlingWhen writing performance benchmarking and measurement code, always be explicit about all possible cases and organize related constants cl...

  ggml-org/llama.cpp Performance Optimization Python llm-infra 2025-07-07

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• Enable callback chainingWhen designing APIs that accept callbacks or configuration functions, always return the previous callback/configuration to enable chainin...

  ggml-org/llama.cpp API Other llm-infra 2025-07-01

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• Use environment variablesPrefer environment variables over hardcoded paths and configuration values in build scripts and configuration files. This approach improv...

  ggml-org/llama.cpp Configurations Txt llm-infra 2025-06-18

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• semantic configuration validationWhen designing configuration systems, prefer semantic parameters over generic key-value approaches for common features, and implement run...

  ggml-org/llama.cpp Configurations Other llm-infra 2025-06-14

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