allow changing model parallel size

llama_stack/providers/inline/inference/meta_reference/config.py

@@ -21,6 +21,7 @@ class MetaReferenceInferenceConfig(BaseModel):
     torch_seed: Optional[int] = None
     max_seq_len: int = 4096
     max_batch_size: int = 1
+    model_parallel_size: Optional[int] = None
 
     # when this is False, we assume that the distributed process group is setup by someone
     # outside of this code (e.g., when run inside `torchrun`). that is useful for clients
@@ -50,6 +51,7 @@ class MetaReferenceInferenceConfig(BaseModel):
         model: str = "Llama3.2-3B-Instruct",
         checkpoint_dir: str = "${env.CHECKPOINT_DIR:null}",
         quantization_type: str = "${env.QUANTIZATION_TYPE:bf16}",
+        model_parallel_size: str = "${env.MODEL_PARALLEL_SIZE:null}",
         **kwargs,
     ) -> Dict[str, Any]:
         return {
@@ -59,4 +61,5 @@ class MetaReferenceInferenceConfig(BaseModel):
             "quantization": {
                 "type": quantization_type,
             },
+            "model_parallel_size": model_parallel_size,
         }

llama_stack/providers/inline/inference/meta_reference/generators.py

@@ -147,7 +147,7 @@ class Llama4Generator:
             ckpt_dir=ckpt_dir,
             max_seq_len=config.max_seq_len,
             max_batch_size=config.max_batch_size,
-            world_size=llama_model.pth_file_count,
+            world_size=config.model_parallel_size or llama_model.pth_file_count,
             quantization_mode=quantization_mode,
         )
 
@@ -238,7 +238,7 @@ class Llama3Generator:
             ckpt_dir=ckpt_dir,
             max_seq_len=config.max_seq_len,
             max_batch_size=config.max_batch_size,
-            world_size=llama_model.pth_file_count,
+            world_size=config.model_parallel_size or llama_model.pth_file_count,
             quantization_mode=quantization_mode,
         )
         self.tokenizer = self.inner_generator.tokenizer

llama_stack/templates/dependencies.json

@@ -356,50 +356,7 @@
     "fairscale",
     "faiss-cpu",
     "fastapi",
-    "fire",
-    "httpx",
-    "langdetect",
-    "lm-format-enforcer",
-    "matplotlib",
-    "mcp",
-    "nltk",
-    "numpy",
-    "openai",
-    "opentelemetry-exporter-otlp-proto-http",
-    "opentelemetry-sdk",
-    "pandas",
-    "pillow",
-    "psycopg2-binary",
-    "pymongo",
-    "pypdf",
-    "pythainlp",
-    "redis",
-    "requests",
-    "scikit-learn",
-    "scipy",
-    "sentence-transformers",
-    "sentencepiece",
-    "torch",
-    "torchvision",
-    "tqdm",
-    "transformers",
-    "tree_sitter",
-    "uvicorn",
-    "zmq"
-  ],
-  "meta-reference-quantized-gpu": [
-    "accelerate",
-    "aiosqlite",
-    "autoevals",
-    "blobfile",
-    "chardet",
-    "chromadb-client",
-    "datasets",
-    "emoji",
-    "fairscale",
-    "faiss-cpu",
-    "fastapi",
-    "fbgemm-gpu",
+    "fbgemm-gpu-genai==1.1.2",
     "fire",
     "httpx",
     "langdetect",

llama_stack/templates/meta-reference-gpu/run-with-safety.yaml

@@ -18,6 +18,9 @@ providers:
       model: ${env.INFERENCE_MODEL}
       max_seq_len: 4096
       checkpoint_dir: ${env.INFERENCE_CHECKPOINT_DIR:null}
+      quantization:
+        type: ${env.QUANTIZATION_TYPE:bf16}
+      model_parallel_size: ${env.MODEL_PARALLEL_SIZE:null}
   - provider_id: sentence-transformers
     provider_type: inline::sentence-transformers
     config: {}
@@ -27,6 +30,9 @@ providers:
       model: ${env.SAFETY_MODEL}
       max_seq_len: 4096
       checkpoint_dir: ${env.SAFETY_CHECKPOINT_DIR:null}
+      quantization:
+        type: ${env.QUANTIZATION_TYPE:bf16}
+      model_parallel_size: ${env.MODEL_PARALLEL_SIZE:null}
   vector_io:
   - provider_id: faiss
     provider_type: inline::faiss

llama_stack/templates/meta-reference-gpu/run.yaml

@@ -18,6 +18,9 @@ providers:
       model: ${env.INFERENCE_MODEL}
       max_seq_len: 4096
       checkpoint_dir: ${env.INFERENCE_CHECKPOINT_DIR:null}
+      quantization:
+        type: ${env.QUANTIZATION_TYPE:bf16}
+      model_parallel_size: ${env.MODEL_PARALLEL_SIZE:null}
   - provider_id: sentence-transformers
     provider_type: inline::sentence-transformers
     config: {}