fix: add perplexity limitation docs to run_benchmarks.py (#63)

benchmarks/run_benchmarks.py

@@ -5,8 +5,16 @@ TurboQuant Benchmarking Suite — Multi-Backend (Issue #29)
 Supports Ollama and llama-server backends with KV cache type configuration.
 Measures: TTFT, tokens/sec, latency, peak memory.
 
+IMPORTANT — Perplexity Limitation (Issue #63):
+  Ollama does NOT expose token logprobs. This means:
+  - True perplexity (PPL) cannot be measured via the Ollama backend
+  - The metrics here (tok/s, latency) are throughput proxies, not quality gates
+  - For real perplexity measurement, use benchmarks/run_perplexity.py
+    which calls llama-perplexity directly (--logprobs support)
+  - The pass criterion "PPL delta <= 0.5" cannot be validated via Ollama
+
 Usage:
-    # Ollama (default)
+    # Ollama (default) — throughput benchmarks only, NOT perplexity
     python3 benchmarks/run_benchmarks.py --backend ollama --model llama3
 
     # llama-server with turbo4 KV