temp commit

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

@@ -4,10 +4,6 @@ distribution_spec:
   description: Use Meta Reference for running LLM inference
   docker_image: null
   providers:
-    post_training:
-    - inline::meta-reference
-    datasetio:
-    - remote::huggingface
     inference:
     - inline::meta-reference
     memory:

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

@@ -8,8 +8,6 @@ apis:
 - memory
 - safety
 - telemetry
-- datasetio
-- post_training
 providers:
   inference:
   - provider_id: meta-reference-inference
@@ -18,10 +16,6 @@ providers:
       model: ${env.INFERENCE_MODEL}
       max_seq_len: 4096
       checkpoint_dir: ${env.INFERENCE_CHECKPOINT_DIR:null}
-  datasetio:
-  - provider_id: huggingface-0
-    provider_type: remote::huggingface
-    config: {}
   memory:
   - provider_id: faiss
     provider_type: inline::faiss
@@ -46,12 +40,6 @@ providers:
   - provider_id: meta-reference
     provider_type: inline::meta-reference
     config: {}
-  post_training:
-  - provider_id: meta-reference-post-training
-    provider_type: inline::meta-reference
-    config:
-      model: ${env.INFERENCE_MODEL}
-      checkpoint_dir: ${env.INFERENCE_CHECKPOINT_DIR:null}
 
 metadata_store:
   namespace: null
@@ -64,23 +52,5 @@ models:
   provider_model_id: null
 shields: []
 memory_banks: []
-datasets:
-  - dataset_id: alpaca
-    provider_id: huggingface-0
-    url:
-      uri: https://huggingface.co/datasets/tatsu-lab/alpaca
-    metadata:
-      path: tatsu-lab/alpaca
-      name:
-      split: train
-    dataset_schema:
-      instruction:
-        type: string
-      input:
-        type: string
-      output:
-        type: string
-      text:
-        type: string
 scoring_fns: []
 eval_tasks: []