Models & Labs
llama.cpp adds Flint model support
llama.cpp Releaseshigh confidence
Why it matters
- →Enables local inference for Flint-based models without custom builds.
- →Maintains compatibility with latest CUDA 13 and ROCm 10.0 drivers.
- →Keeps llama.cpp as a unified runtime for diverse model architectures.
The llama.cpp project has released version b11803, adding support for the Flint model architecture (FlintForCausalLM). This update allows users to run Flint-based models locally using the standard llama.cpp inference engine. The release also includes pre-built binaries for various platforms, including macOS Apple Silicon, Linux with CUDA 12/13 and ROCm 10.0, and Windows with CUDA and Vulkan support. This addition ensures that llama.cpp remains compatible with a wider range of open-source models as they are released.
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How we got here
- 1llama.cpp b10332 Release Expands Platform Support
llama.cpp Releases · August 10, 2026 · Same story
- 2llama.cpp b10992 Release Expands Platform Support
llama.cpp Releases · September 16, 2026 · Same story
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Open the full story →llama.cpp b11540 adds ROCm 10 and CUDA 13 support
3 developments
- Oct 10 · llama.cpp Releases
llama.cpp b11540 adds ROCm 10 and CUDA 13 support - Oct 22 · llama.cpp Releases
llama.cpp adds Flint model support (This article)↳ llama.cpp adds FlintForCausalLM architecture support - Oct 22 · llama.cpp Releases
llama.cpp adds SenseNova U1 support↳ llama.cpp adds native support for Baidu's SenseNova U1 architecture with CPU inference and vision capabilities.
More from llama.cpp Releases
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llama.cpp b12022 adds ROCm 10 and Snapdragon support
This release quietly cements llama.cpp as the universal inference runtime by finally bringing ROCm 10.0 to Linux and Windows alongside CUDA 13.4, effectively closing the hardware gap for AMD users who were previously left behind. The inclusion of native Snapdragon support on Linux marks a significant step toward running local LLMs on ARM-based mobile chips without emulation overhead. While KleidiAI on Apple Silicon is disabled in this build, the broader expansion to diverse accelerators ensures that developers aren't locked into NVIDIA ecosystems anymore.
llama.cpp Releases
Coding Toolscoding
llama.cpp b12023 fixes shared prefix bug
This release addresses a specific inference artifact where decision prefixes were incorrectly bleeding into output embeddings. By capping shared prefixes at the first output position, llama.cpp ensures that option tokens remain distinct for parent and child tasks. This is a targeted fix for multi-step reasoning or voting workflows rather than a performance boost. It stabilizes complex generation patterns without changing the underlying model architecture.
llama.cpp Releases
Coding Toolscoding
llama.cpp b12024 adds Snapdragon and ROCm 10
This release quietly expands llama.cpp's hardware support to include Qualcomm Snapdragon devices with CPU, Adreno GPU, and Hexagon NPU acceleration. It also updates ROCm to version 10.0 for both Linux and Windows, keeping AMD users in step with the latest driver stack. CUDA builds now default to 13.4 libraries alongside 12.x options, reflecting the industry's gradual shift toward newer NVIDIA toolkits. While no new model architectures are introduced, the binary matrix grows significantly, ensuring local inference remains viable on a wider array of edge and server hardware.
llama.cpp Releases
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