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llama.cpp b11019 fixes embedded GGUF loading bugs
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Why it matters
- →Fixes silent data corruption when GGUF files are embedded in larger containers.
- →Adds FILE pointer support for LoRA adapters, enabling more flexible loading patterns.
- →Prevents crashes by disabling mmap and warning on unaligned embedded sections.
llama.cpp version b11019 addresses a memory alignment issue in the GGUF loader that caused incorrect tensor data retrieval when files were embedded at non-aligned offsets. The update corrects the calculation to align relative to the GGUF start and introduces FILE pointer support for LoRA adapter loading. Additionally, the system now disables memory-mapped I/O and issues a warning if an embedded section is unaligned, replacing previous assertion failures. This improves reliability for developers packaging models within custom containers or archives.
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llama.cpp b11018 adds CUDA 13 and ROCm 10 builds
This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10. For the first time, users on cutting-edge hardware can run local models without being forced into legacy driver versions or waiting for vendor-specific optimizations. The inclusion of both CUDA 12 and 13 binaries side-by-side removes a major friction point for developers managing mixed environments. While no new model architectures are added, this infrastructure update ensures compatibility with the fastest consumer and data center GPUs hitting the market right now.
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