Upload run_benchmark.py

run_benchmark.py

@@ -0,0 +1,37 @@
+#!/usr/bin/env python3
+"""
+Little Fig — GPU Benchmark Runner (HF Jobs compatible)
+Clones repo, installs deps, runs benchmark, saves results to HF Hub.
+"""
+
+import os, sys, subprocess, json, time
+
+# Clone and install
+print("[SETUP] Cloning Little Fig...", flush=True)
+if not os.path.exists("/app/littlefig"):
+    subprocess.check_call(["git", "clone", "https://github.com/ticketguy/littlefig.git", "/app/littlefig"])
+
+print("[SETUP] Installing deps...", flush=True)
+subprocess.check_call([sys.executable, "-m", "pip", "install", "-q",
+    "transformers", "accelerate", "peft", "bitsandbytes",
+    "datasets", "sentencepiece", "protobuf", "psutil", "numpy", "torch"])
+subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", "-e", "/app/littlefig[train]"])
+
+# Run the benchmark
+print("[SETUP] Running benchmark...", flush=True)
+os.chdir("/app/littlefig")
+result = subprocess.run([sys.executable, "benchmark/benchmark_gpu.py"],
+    capture_output=False, text=True)
+
+# Upload results if they exist
+if os.path.exists("/app/benchmark_results.json"):
+    from huggingface_hub import HfApi
+    api = HfApi()
+    api.upload_file(
+        path_or_fileobj="/app/benchmark_results.json",
+        path_in_repo=f"benchmark_results_{int(time.time())}.json",
+        repo_id="ticketguy/littlefig-benchmarks",
+    )
+    print("[DONE] Results uploaded to HF Hub", flush=True)
+else:
+    print("[WARN] No results file found", flush=True)