diff --git a/.github/backend-matrix.yml b/.github/backend-matrix.yml
index 17d436cc1..f34921db9 100644
--- a/.github/backend-matrix.yml
+++ b/.github/backend-matrix.yml
@@ -4974,6 +4974,9 @@ 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"
diff --git a/backend/index.yaml b/backend/index.yaml
index f3a2b892d..381aa073b 100644
--- a/backend/index.yaml
+++ b/backend/index.yaml
@@ -5295,6 +5295,7 @@
     nvidia: "cuda12-trl"
     nvidia-cuda-12: "cuda12-trl"
     nvidia-cuda-13: "cuda13-trl"
+    metal: "metal-trl"
 ## TRL backend images
 - !!merge <<: *trl
   name: "cpu-trl"
@@ -5326,6 +5327,16 @@
   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"
diff --git a/backend/python/trl/install.sh b/backend/python/trl/install.sh
index 6963e60ed..ce0552f87 100644
--- a/backend/python/trl/install.sh
+++ b/backend/python/trl/install.sh
@@ -8,7 +8,13 @@ else
     source $backend_dir/../common/libbackend.sh
 fi
 
-EXTRA_PIP_INSTALL_FLAGS+=" --upgrade --index-strategy=unsafe-first-match"
+EXTRA_PIP_INSTALL_FLAGS+=" --upgrade"
+# --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
diff --git a/backend/python/trl/requirements-mps.txt b/backend/python/trl/requirements-mps.txt
new file mode 100644
index 000000000..fbdfb6536
--- /dev/null
+++ b/backend/python/trl/requirements-mps.txt
@@ -0,0 +1,12 @@
+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.