Phase 01 (LLM Tuning): - Gemma4 26B: 74.65 t/s (fast) - Qwen 35B: 61.62 t/s (balanced) - Gemma4 31B: 16.0 t/s (deep-coder) - Qwen 27B: 16.7 t/s (deep-logic) - Qwen 122B: 8.95 t/s (ultra, GPU 1 only) Phase 02 (API Engine): - FastAPI reverse proxy on port 8000 - /engine/switch hot-swap with 503 protection - config/engine_models.json as single source of truth - Replaced 4 individual .bat files with unified engine File cleanup: - scripts/ 85 files -> 9 + _archive/ - Root .bat files -> _archive/
85 lines
2.8 KiB
JavaScript
85 lines
2.8 KiB
JavaScript
import { spawn, execSync } from "child_process";
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const BASE_URL = "http://127.0.0.1:8000";
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const args = [
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"llama_bin_run\\llama-server.exe",
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"--model", "models\\Qwen3.5-35B-A3B-Q4_K_M.gguf",
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"-ngl", "999",
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"-c", "262144",
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"-np", "1",
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"-fa", "on",
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"--cache-type-k", "q4_0",
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"--cache-type-v", "q4_0",
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"-ub", "128",
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"-b", "512",
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"-t", "6",
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"-tb", "6",
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"--prio", "3",
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"--port", "8000",
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"--host", "0.0.0.0",
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"-ts", "0.3,0.7"
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];
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console.log(`Starting server with args: \n${args.join(" ")}\n`);
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try { execSync('taskkill /F /IM llama-server.exe', { stdio: 'ignore' }); } catch(e) {}
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await new Promise(r => setTimeout(r, 2000));
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const server = spawn(args[0], args.slice(1), { stdio: 'ignore' });
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let ready = false;
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let bootStart = Date.now();
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for (let i = 0; i < 60; i++) {
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try {
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const res = await fetch(`${BASE_URL}/health`);
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if (res.status === 200) { ready = true; break; }
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} catch(e) {}
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await new Promise(r => setTimeout(r, 3000));
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}
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if (!ready) {
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console.log("Server failed to boot within 3 mins.");
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try { execSync('taskkill /F /IM llama-server.exe', { stdio: 'ignore' }); } catch(e) {}
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process.exit(1);
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}
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const bootElapsed = (Date.now() - bootStart) / 1000;
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console.log(`\n===========================================`);
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console.log(`Server booted in ${bootElapsed.toFixed(1)}s.`);
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try {
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const vram = execSync('nvidia-smi --query-gpu=index,memory.used,memory.total --format=csv,noheader,nounits', { encoding: 'utf-8' });
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console.log(`VRAM USAGE:\n${vram.trim()}`);
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} catch(e) {}
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console.log(`===========================================\n`);
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try {
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await fetch(`${BASE_URL}/v1/chat/completions`, {
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method: "POST", headers: { "Content-Type": "application/json" },
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body: JSON.stringify({ messages: [{ role: "user", content: "hi" }], max_tokens: 10, temperature: 0 })
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});
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} catch(e) {}
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console.log("Running speed test (200 tokens)...");
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const t0 = Date.now();
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try {
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const res = await fetch(`${BASE_URL}/v1/chat/completions`, {
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method: "POST", headers: { "Content-Type": "application/json" },
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body: JSON.stringify({ messages: [{ role: "user", content: "Count from 1 to 50, each on new line." }], max_tokens: 200, temperature: 0 })
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});
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const result = await res.json();
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const elapsed = (Date.now() - t0) / 1000;
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const ct = result?.usage?.completion_tokens || 0;
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const tps = ct / elapsed;
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console.log(`\n===========================================`);
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console.log(`★ 0.3/0.7 SPLIT RESULT: ${tps.toFixed(2)} t/s ★`);
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console.log(` Tokens: ${ct}`);
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console.log(` Time: ${elapsed.toFixed(2)}s\n===========================================\n`);
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} catch(e) {
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console.log("ERROR during benchmark:", e.message);
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}
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try { execSync('taskkill /F /IM llama-server.exe', { stdio: 'ignore' }); } catch(e) {}
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process.exit(0);
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