Model Releases
b11707
model : Granite switch decision 256 options (#30693) feat(convert): Attempt to come up with 256 single-token, semantic option markers Each switch model needs to identify a collection of single-token o
model : Granite switch decision 256 options (#30693) feat(convert): Attempt to come up with 256 single-token, semantic option markers Each switch model needs to identify a collection of single-token option markers that can be mapped to their respective logits for the output probability distribution. The simple upper/lower/numbers set only yields 66 unique markers, but the model can support up to 255. The challenge is that which combinations of characters result in single-token markers is model- specific, so we do a discovery exercise at conversion time by looking through the specific model's vocab for single-token sequences of 1+ plain letter strings (eg A, AA, BB, etc). Branch: GraniteSwitchDecisionFullOptions AI-usage: none Signed-off-by: Gabe Goodhart ghart@us.ibm.com docs: Note granite-switch with 256 option markers Branch: GraniteSwitchDecisionFullOptions AI-usage: none Signed-off-by: Gabe Goodhart ghart@us.ibm.com style: Remove extra newline Branch: GraniteSwitchDecisionFullOptions AI-usage: none Signed-off-by: Gabe Goodhart ghart@us.ibm.com feat(convert): Use the computed labels in the template so c++ side is source of truth Branch: GraniteSwitchDecisionFullOptions AI-usage: full (Claude + Sonnet 5.5) Signed-off-by: Gabe Goodhart ghart@us.ibm.com feat: Use LEV case for GRANITE_SWITCH w/ computed labels Branch: GraniteSwitchDecisionFullOptions AI-usage: full (Claude + Sonnet 5.5) Signed-off-by: Gabe Goodhart ghart@us.ibm.com docs: Consolidate g-s into 255 bucket Branch: GraniteSwitchDecisionFullOptions AI-usage: full (Claude + Sonnet 5.5) Signed-off-by: Gabe Goodhart ghart@us.ibm.com Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/56911978 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS Intel (x64) iOS XCFramework Linux: Ubuntu x64 (CPU) Ubuntu arm64 (CPU) Ubuntu s390x (CPU) Ubuntu x64 (Vulkan) Ubuntu arm64 (Vulkan) Ubuntu x64 (CUDA 12) - CUDA 12.8 libraries Ubuntu x64 (CUDA 13) - CUDA 13.4 libraries Ubuntu arm64 (CUDA 13) - CUDA 13.4 libraries Ubuntu x64 (ROCm 10.0) Ubuntu x64 (OpenVINO) Ubuntu x64 (SYCL FP32) Ubuntu x64 (SYCL FP16) Linux arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU) - setup guide Android: Android arm64 (CPU) Android arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU) - setup guide Windows: Windows x64 (CPU) Windows arm64 (CPU) Windows arm64 (OpenCL Adreno) Windows x64 (CUDA 12) - CUDA 12.4 DLLs Windows x64 (CUDA 13) - CUDA 13.4 DLLs Windows arm64 (CUDA 13) - CUDA 13.4 DLLs Windows x64 (Vulkan) Windows arm64 (Vulkan) Windows x64 (OpenVINO) Windows x64 (SYCL) Windows x64 (ROCm 10.0) openEuler: DISABLED openEuler x86 (310p) openEuler x86 (910b, ACL Graph) openEuler aarch64 (310p) openEuler aarch64 (910b, ACL Graph) UI: UI
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Source: llama.cpp Releases | 2026-10-17