chore: ⬆️ Update ServeurpersoCom/omnivoice.cpp to 0f37401bebe9b20c0160a888e592108fc1d17607 (#10492)

⬆️ Update ServeurpersoCom/omnivoice.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>

.github/backend-matrix.yml

@@ -4974,9 +4974,6 @@ includeDarwin:
   - backend: "kitten-tts"
     tag-suffix: "-metal-darwin-arm64-kitten-tts"
     build-type: "mps"
-  - backend: "trl"
-    tag-suffix: "-metal-darwin-arm64-trl"
-    build-type: "mps"
   - backend: "liquid-audio"
     tag-suffix: "-metal-darwin-arm64-liquid-audio"
     build-type: "mps"

backend/cpp/ik-llama-cpp/Makefile

@@ -1,5 +1,5 @@
 
-IK_LLAMA_VERSION?=7ccf1d209588962b96eacca325b37e9b3e8faf5e
+IK_LLAMA_VERSION?=d5507e33ae7ee2b7b41475f08044d3bde3b839ee
 LLAMA_REPO?=https://github.com/ikawrakow/ik_llama.cpp
 
 CMAKE_ARGS?=

backend/go/omnivoice-cpp/Makefile

@@ -8,7 +8,7 @@ JOBS?=$(shell nproc --ignore=1)
 
 # omnivoice.cpp version
 OMNIVOICE_REPO?=https://github.com/ServeurpersoCom/omnivoice.cpp
-OMNIVOICE_VERSION?=96d30169afd5e6bb3fd6a0e9be0eb505bfe81fcd
+OMNIVOICE_VERSION?=0f37401bebe9b20c0160a888e592108fc1d17607
 SO_TARGET?=libgomnivoicecpp.so
 
 CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF

backend/index.yaml

@@ -5295,7 +5295,6 @@
     nvidia: "cuda12-trl"
     nvidia-cuda-12: "cuda12-trl"
     nvidia-cuda-13: "cuda13-trl"
-    metal: "metal-trl"
 ## TRL backend images
 - !!merge <<: *trl
   name: "cpu-trl"
@@ -5327,16 +5326,6 @@
   uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-13-trl"
   mirrors:
     - localai/localai-backends:master-gpu-nvidia-cuda-13-trl
-- !!merge <<: *trl
-  name: "metal-trl"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-metal-darwin-arm64-trl"
-  mirrors:
-    - localai/localai-backends:latest-metal-darwin-arm64-trl
-- !!merge <<: *trl
-  name: "metal-trl-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-metal-darwin-arm64-trl"
-  mirrors:
-    - localai/localai-backends:master-metal-darwin-arm64-trl
 ## llama.cpp quantization backend
 - &llama-cpp-quantization
   name: "llama-cpp-quantization"

backend/python/trl/install.sh

@@ -8,13 +8,7 @@ else
     source $backend_dir/../common/libbackend.sh
 fi
 
-EXTRA_PIP_INSTALL_FLAGS+=" --upgrade"
+EXTRA_PIP_INSTALL_FLAGS+=" --upgrade --index-strategy=unsafe-first-match"
-# --index-strategy is a uv-only flag. The darwin/MPS build installs with pip
-# (USE_PIP=true in scripts/build/python-darwin.sh), which rejects it. Only add
-# it when uv is the installer, keeping the Linux/CUDA resolution unchanged.
-if [ "x${USE_PIP:-}" != "xtrue" ]; then
-    EXTRA_PIP_INSTALL_FLAGS+=" --index-strategy=unsafe-first-match"
-fi
 installRequirements
 
 # Fetch convert_hf_to_gguf.py and gguf package from the same llama.cpp version

backend/python/trl/requirements-mps.txt

@@ -1,12 +0,0 @@
-torch==2.10.0
-trl
-peft
-datasets>=3.0.0
-transformers>=4.56.2
-accelerate>=1.4.0
-huggingface-hub>=1.3.0
-sentencepiece
-# Note: bitsandbytes is intentionally omitted on MPS. It is only used by the
-# CUDA (cublas) variants for 8-bit/4-bit quantization and has poor support on
-# Apple Silicon. torch here uses the plain PyPI wheels, which ship MPS support
-# on macOS arm64.