== Target ============================================================ endpoint http://127.0.0.1:8080 target local (llama.cpp rig) auth none == Health ============================================================ GET /health 200 OK in 0 ms body {"status":"ok"} == Model ============================================================= served /home/xbill/models/gemma-4-E2B-it-qat-q4_0/gemma-4-E2B_q4_0-it.gguf (context 8192 tokens) using /home/xbill/models/gemma-4-E2B-it-qat-q4_0/gemma-4-E2B_q4_0-it.gguf (first model the server lists) == Request =========================================================== POST http://127.0.0.1:8080/v1/chat/completions prompt In one sentence, what is a TPU? max_tokens 1024 == Answer ============================================================ A TPU (Tensor Processing Unit) is a specialized hardware accelerator designed by Google specifically to speed up the computationally intensive matrix operations required for training and running machine learning models. == Reasoning ========================================================= length 1327 chars 1. **Identify the core concept:** The user wants a one-sentence definition of a TPU (Tensor Processing Unit). ... == Stats ============================================================= finish_reason stop prompt_tokens 25 cached_tokens 7 completion_tokens 330 total_tokens 355 latency (client) 4786 ms tokens/s (client) 69.0 (completion tokens / latency; includes network and prefill) == Server timings (llama.cpp) ======================================== predicted_ms 4615.20 predicted_n 330 predicted_per_second 71.29 prompt_ms 147.38 prompt_n 18 ... == Response ========================================================== id chatcmpl-rTO4HJkYHsrE4WisG2mileq6Jmxn0R4f model /home/xbill/models/gemma-4-E2B-it-qat-q4_0/gemma-4-E2B_q4_0-it.gguf system_fingerprint b1-95ef7fc