feat: Add support for split GGUF model loading#808
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hongkongkiwi wants to merge 4 commits intoutilityai:mainfrom
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feat: Add support for split GGUF model loading#808hongkongkiwi wants to merge 4 commits intoutilityai:mainfrom
hongkongkiwi wants to merge 4 commits intoutilityai:mainfrom
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This commit introduces comprehensive support for loading models from multiple split files: - Added `load_from_splits()` method to LlamaModel for loading models split across multiple files - Added utility functions `split_path()` and `split_prefix()` for working with split file naming conventions - Added split_model example demonstrating usage of the split loading functionality - Updated workspace Cargo.toml to include the new split_model example This feature enables loading very large models that have been split due to filesystem limitations or distribution requirements. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Remove unused Path import from split_model example - Remove RPC example from workspace members on split-model-loading branch 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Added documentation comments for RopeType enum variants - Ensures all public APIs are properly documented 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Author
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This bascially adds in missing functionlaity into the rust library that's present in llama.cpp in the tools dir. I think it's worth keeping feature parity so all llama.cpp features can be used. |
…r split-model-loading This commit adds the scalable dynamic tools building system to the split-model-loading branch: - Adds generate_tools_cmake() function to dynamically create tools/CMakeLists.txt - Only builds tools for enabled features (solving PR utilityai#806 issue) - Split model loading doesn't require tools but maintains architecture consistency - Includes tools/CMakeLists.txt in Cargo.toml for build system compatibility - Uses feature-based conditional compilation for future extensibility This creates a merge-friendly architecture where each feature branch can extend tool building without conflicts. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Contributor
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this seems to include #810, please separate these PRs properly. |
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Summary
load_from_splits()method toLlamaModelfor loading models split across multiple filessplit_path()utility function to generate standardized split file pathssplit_prefix()utility function to extract prefix from split file pathsFeatures Added
API Changes
LlamaModel::load_from_splits(&backend, &[impl AsRef<Path>], ¶ms) -> Result<Self, LlamaModelLoadError>LlamaModel::split_path(prefix: &str, split_no: i32, split_count: i32) -> StringLlamaModel::split_prefix(split_path: &str, split_no: i32, split_count: i32) -> Option<String>Test Plan
Technical Details
The implementation uses the underlying
llama_model_load_from_splits,llama_split_path, andllama_split_prefixfunctions from llama.cpp, providing safe Rust wrappers with proper error handling and memory management.🤖 Generated with Claude Code