b9606
ggml-org/llama.cppb9606Jun 12, 2026by github-actions[bot]
AI Summary
Implements support for EAGLE3 speculative decoding, enabling layer input extraction for improved generation efficiency. This includes compatibility with Gemma4 eagle3 and fixes for parameter bugs and multi-sequence issues.
Key Highlights
- Add EAGLE3 speculative decoding support
- Enable layer input extraction
- Support Gemma4 eagle3 from RedHatAI
- Fix params bug
- Fix multi-seq issue in d2t vocab mapping
New Features
- EAGLE3 speculative decoding support
Full Release Notes
<details open> spec: add EAGLE3 speculative decoding support (#18039) * llama : enable layer input extraction * spec: support eagle3 * eagle3: fix params bug * eagle3: support Gemma4 eagle3 from RedHatAI * eagle3: set sync when get features from target Co-authored-by: tnhnyzc <115956684+tnhnyzc@users.noreply.github.com> * eagle3 : fix ubatch handling in embd_layer_inp extraction and encoder Co-authored-by: Doğaç Eldenk <dogacel@gmail.com> * eagle3: adapt to upstream changes * eagle3: fix rebase issues and adapt to upstream changes * eagle3:exclude the eagle3 arch from test-llama-archs * eagle3: fix editorconfig check failures * eagle3: fix multi-seq issue in d2t vocab mapping * cont : minor style / clean-up * spec : remove `common_speculative_setup_draft_model()` * llama : clean-up unused API * eagle3: set d2t vocab mapping in decode graph * cont : assert layer inputs are configured * hparams : use n_embd_inp instead of n_embd_target_features * eagle3: make output.weight optional and inherit from target model when needed * haparams : generic norm-before-residual param * llama-ext : consistent names * cont : fix * hparams : remove target_hidden_size * cparams : rename output_layer_inp -> embeddings_layer_inp * arch : reuse ATTN_NORM_2 instead of adding new hidden norm * llama : clean-up names * cont : add assert + comment * Update conversion/llama.py Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: tnhnyzc <115956684+tnhnyzc@users.noreply.github.com> Co-authored-by: Doğaç Eldenk <dogacel@gmail.com> Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> </details> **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b9606/llama-b9606-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b9606/llama-b9606-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b9606/llama-b9606-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b9606/llama-b9606-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b9606/llama-b9606-bin-ubuntu-arm64.tar.gz) - [Ubuntu s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b9606/llama-b9606-bin-ubuntu-s390x.tar.gz) - [Ubuntu x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b9606/llama-b9606-bin-ubuntu-vulkan-x64.tar.gz) - [Ubuntu arm64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b9606/llama-b9606-bin-ubuntu-vulkan-arm64.tar.gz) - [Ubuntu x64 (ROCm 7.2)](https://github.com/ggml-org/llama.cpp/releases/download/b9606/llama-b9606-bin-ubuntu-rocm-7.2-x64.tar.gz) - [Ubuntu x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b9606/llama-b9606-bin-ubuntu-openvino-2026.0-x64.tar.gz) - Ubuntu x64 (SYCL FP32) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23705) **Android:** - [Android arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b9606/llama-b9606-bin-android-arm64.tar.gz) **Windows:** - [Windows x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b9606/llama-b9606-bin-win-cpu-x64.zip) - [Windows arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b9606/llama-b9606-bin-win-cpu-arm64.zip) - [Windows x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/b9606/llama-b9606-bin-win-cuda-12.4-x64.zip) - [CUDA 12.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b9606/cudart-llama-bin-win-cuda-12.4-x64.zip) - [Windows x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b9606/llama-b9606-bin-win-cuda-13.3-x64.zip) - [CUDA 13.3 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b9606/cudart-llama-bin-win-cuda-13.3-x64.zip) - [Windows x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b9606/llama-b9606-bin-win-vulkan-x64.zip) - Windows x64 (SYCL) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23705) - [Windows x64 (HIP)](https://github.com/ggml-org/llama.cpp/releases/download/b9606/llama-b9606-bin-win-hip-radeon-x64.zip) **openEuler:** - [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23705) - openEuler x86 (310p) - openEuler x86 (910b, ACL Graph) - openEuler aarch64 (310p) - openEuler aarch64 (910b, ACL Graph) **UI:** - [UI](https://github.com/ggml-org/llama.cpp/releases/download/b9606/llama-b9606-ui.tar.gz)