feat(distro): no huggingface provider for starter

llama_stack/distributions/ci-tests/build.yaml

@@ -34,7 +34,7 @@ distribution_spec:
     telemetry:
     - provider_type: inline::meta-reference
     post_training:
-    - provider_type: inline::huggingface-cpu
+    - provider_type: inline::torchtune-cpu
     eval:
     - provider_type: inline::meta-reference
     datasetio:

llama_stack/distributions/ci-tests/run.yaml

@@ -156,13 +156,10 @@ providers:
       sqlite_db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/ci-tests}/trace_store.db
       otel_exporter_otlp_endpoint: ${env.OTEL_EXPORTER_OTLP_ENDPOINT:=}
   post_training:
-  - provider_id: huggingface-cpu
-    provider_type: inline::huggingface-cpu
+  - provider_id: torchtune-cpu
+    provider_type: inline::torchtune-cpu
     config:
-      checkpoint_format: huggingface
-      distributed_backend: null
-      device: cpu
-      dpo_output_dir: ~/.llama/distributions/ci-tests/dpo_output
+      checkpoint_format: meta
   eval:
   - provider_id: meta-reference
     provider_type: inline::meta-reference

llama_stack/distributions/starter-gpu/build.yaml

@@ -35,7 +35,7 @@ distribution_spec:
     telemetry:
     - provider_type: inline::meta-reference
     post_training:
-    - provider_type: inline::torchtune-gpu
+    - provider_type: inline::huggingface-gpu
     eval:
     - provider_type: inline::meta-reference
     datasetio:

llama_stack/distributions/starter-gpu/run.yaml

@@ -156,10 +156,13 @@ providers:
       sqlite_db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter-gpu}/trace_store.db
       otel_exporter_otlp_endpoint: ${env.OTEL_EXPORTER_OTLP_ENDPOINT:=}
   post_training:
-  - provider_id: torchtune-gpu
-    provider_type: inline::torchtune-gpu
+  - provider_id: huggingface-gpu
+    provider_type: inline::huggingface-gpu
     config:
-      checkpoint_format: meta
+      checkpoint_format: huggingface
+      distributed_backend: null
+      device: cpu
+      dpo_output_dir: ~/.llama/distributions/starter-gpu/dpo_output
   eval:
   - provider_id: meta-reference
     provider_type: inline::meta-reference

llama_stack/distributions/starter-gpu/starter_gpu.py

@@ -17,6 +17,6 @@ def get_distribution_template() -> DistributionTemplate:
     template.description = "Quick start template for running Llama Stack with several popular providers. This distribution is intended for GPU-enabled environments."
 
     template.providers["post_training"] = [
-        BuildProvider(provider_type="inline::torchtune-gpu"),
+        BuildProvider(provider_type="inline::huggingface-gpu"),
     ]
     return template

llama_stack/distributions/starter/build.yaml

@@ -35,7 +35,7 @@ distribution_spec:
     telemetry:
     - provider_type: inline::meta-reference
     post_training:
-    - provider_type: inline::huggingface-cpu
+    - provider_type: inline::torchtune-cpu
     eval:
     - provider_type: inline::meta-reference
     datasetio:

llama_stack/distributions/starter/run.yaml

@@ -156,13 +156,10 @@ providers:
       sqlite_db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/trace_store.db
       otel_exporter_otlp_endpoint: ${env.OTEL_EXPORTER_OTLP_ENDPOINT:=}
   post_training:
-  - provider_id: huggingface-cpu
-    provider_type: inline::huggingface-cpu
+  - provider_id: torchtune-cpu
+    provider_type: inline::torchtune-cpu
     config:
-      checkpoint_format: huggingface
-      distributed_backend: null
-      device: cpu
-      dpo_output_dir: ~/.llama/distributions/starter/dpo_output
+      checkpoint_format: meta
   eval:
   - provider_id: meta-reference
     provider_type: inline::meta-reference

llama_stack/distributions/starter/starter.py

@@ -120,7 +120,7 @@ def get_distribution_template() -> DistributionTemplate:
         ],
         "agents": [BuildProvider(provider_type="inline::meta-reference")],
         "telemetry": [BuildProvider(provider_type="inline::meta-reference")],
-        "post_training": [BuildProvider(provider_type="inline::huggingface-cpu")],
+        "post_training": [BuildProvider(provider_type="inline::torchtune-cpu")],
         "eval": [BuildProvider(provider_type="inline::meta-reference")],
         "datasetio": [
             BuildProvider(provider_type="remote::huggingface"),

llama_stack/providers/registry/post_training.py

@@ -23,18 +23,6 @@ torchtune_def = dict(
     description="TorchTune-based post-training provider for fine-tuning and optimizing models using Meta's TorchTune framework.",
 )
 
-huggingface_def = dict(
-    api=Api.post_training,
-    pip_packages=["trl", "transformers", "peft", "datasets"],
-    module="llama_stack.providers.inline.post_training.huggingface",
-    config_class="llama_stack.providers.inline.post_training.huggingface.HuggingFacePostTrainingConfig",
-    api_dependencies=[
-        Api.datasetio,
-        Api.datasets,
-    ],
-    description="HuggingFace-based post-training provider for fine-tuning models using the HuggingFace ecosystem.",
-)
-
 
 def available_providers() -> list[ProviderSpec]:
     return [
@@ -48,16 +36,6 @@ def available_providers() -> list[ProviderSpec]:
                 ),
             },
         ),
-        InlineProviderSpec(
-            **{
-                **huggingface_def,
-                "provider_type": "inline::huggingface-cpu",
-                "pip_packages": (
-                    cast(list[str], huggingface_def["pip_packages"])
-                    + ["torch --index-url https://download.pytorch.org/whl/cpu"]
-                ),
-            },
-        ),
         InlineProviderSpec(
             **{
                 **torchtune_def,
@@ -68,11 +46,16 @@ def available_providers() -> list[ProviderSpec]:
             },
         ),
         InlineProviderSpec(
-            **{
-                **huggingface_def,
-                "provider_type": "inline::huggingface-gpu",
-                "pip_packages": (cast(list[str], huggingface_def["pip_packages"]) + ["torch"]),
-            },
+            api=Api.post_training,
+            provider_type="inline::huggingface-gpu",
+            pip_packages=["trl", "transformers", "peft", "datasets", "torch"],
+            module="llama_stack.providers.inline.post_training.huggingface",
+            config_class="llama_stack.providers.inline.post_training.huggingface.HuggingFacePostTrainingConfig",
+            api_dependencies=[
+                Api.datasetio,
+                Api.datasets,
+            ],
+            description="HuggingFace-based post-training provider for fine-tuning models using the HuggingFace ecosystem.",
         ),
         remote_provider_spec(
             api=Api.post_training,