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Copy pathGPT4-x-Alpaca-HTTP-Endpoint.json
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GPT4-x-Alpaca-HTTP-Endpoint.json
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[
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"type": "comment",
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"type": "http in",
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"name": "",
"url": "gpt4-x-alpaca",
"method": "get",
"upload": false,
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"type": "function",
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"name": "GPT4-x-Alpaca",
"func": "(async () => {\n let Prompt = (msg.payload || '').trim()\n if (Prompt === '') {\n msg.payload = 'empty or missing prompt'\n node.send([null,msg])\n return\n }\n\n/**** retrieve settings or provide defaults ****/\n\n let Seed = parseInt(msg.seed,10)\n if (isNaN(Seed)) { Seed = -1 }\n\n let Threads = parseInt(msg.threads,10)\n if (isNaN(Threads)) { Threads = 4 }\n Threads = Math.max(1,Threads)\n Threads = Math.min(Threads,Math.max(1,os.cpus().length))\n\n let Context = parseInt(msg.context,10)\n if (isNaN(Context)) { Context = 512 }\n Context = Math.max(0,Math.min(Context,2048))\n\n let keep = parseInt(msg.keep,10)\n if (isNaN(keep)) { keep = 0 }\n keep = Math.max(-1,Math.min(keep,2048))\n\n let Prediction = parseInt(msg.predict,10)\n if (isNaN(Prediction)) { Prediction = 128 }\n Prediction = Math.max(1,Math.min(Prediction,2048)) // no -1!\n\n let topK = parseInt(msg.topk,10)\n if (isNaN(topK)) { topK = 40 }\n topK = Math.max(1,Math.min(topK,100))\n\n let topP = parseFloat(msg.topp)\n if (isNaN(topP)) { topP = 0.9 }\n topP = Math.max(0.1,Math.min(topP,1.0))\n\n let Temperature = parseFloat(msg.temperature)\n if (isNaN(Temperature)) { Temperature = 0.8 }\n Temperature = Math.max(0.0,Math.min(Temperature,1.0))\n\n let Batches = parseInt(msg.batches,10)\n if (isNaN(Batches)) { Batches = 8 }\n Batches = Math.max(1,Math.min(Batches,100))\n\n Prompt = Prompt.replace(/\"/g,'\\\\\"')\n\n/**** combine all these settings into a command ****/\n\n let Command = ( 'cd ai && ' +\n './llama --model ./ggml-gpt4-x-alpaca-13b-q4_1.bin --mlock ' +\n ' --ctx_size ' + Context + ' --keep ' + keep +\n ' --n_predict ' + Prediction +\n ' --threads ' + Threads + ' --batch_size ' + Batches +\n ' --seed ' + Seed + ' --temp ' + Temperature +\n ' --top_k ' + topK + ' --top_p ' + topP +\n ' --reverse-prompt \"<|endoftext|>\"' + // experimental\n ' --prompt \"' + Prompt + '\"'\n )\n\n/**** extract actual reponse from command output ****/\n\n function ResponseFrom (Text) {\n let HeaderLength = Text.indexOf('\\n\\n\\n')\n Text = Text.slice(HeaderLength + 1)\n\n let TrailerIndex = Text.indexOf('<|endoftext|>')\n if (TrailerIndex < 0) {\n TrailerIndex = Text.indexOf('\\nllama_print_timings')\n }\n Text = Text.slice(0,TrailerIndex)\n\n return Text\n }\n\n/**** now infer a response from the given prompt ****/\n\n let { stdout,stderr, StatusCode,Signal } = child_process.spawnSync(\n 'bash', [], { input:Command }\n )\n\n stdout = stdout.toString().trim()\n stderr = stderr.toString().trim()\n\n switch (true) {\n case (StatusCode == null):\n case (StatusCode === 0):\n msg.statusCode = (stdout === '' ? 204 : 200)\n msg.payload = ResponseFrom(stdout)\n break\n default:\n msg.statusCode = 500 + StatusCode\n msg.payload = (stdout === '' ? '' : '>>>> stdout >>>>\\n' + stdout + '\\n') +\n '>>>> stderr >>>>\\n' + stderr +\n (Signal == null ? '' : '\\n' + Signal)\n break\n }\n\n node.send([msg,null])\n})()\n",
"outputs": 2,
"noerr": 0,
"initialize": "",
"finalize": "",
"libs": [
{
"var": "os",
"module": "os"
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{
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"module": "child_process"
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"type": "debug",
"z": "50ed45470ea01d88",
"name": "",
"active": true,
"tosidebar": true,
"console": false,
"tostatus": false,
"complete": "'Prompt: \"' & msg.payload & '\"'",
"targetType": "jsonata",
"statusVal": "",
"statusType": "auto",
"x": 820,
"y": 820,
"wires": []
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"id": "701e913ebac49fc1",
"type": "http response",
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"headers": {},
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"type": "change",
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"active": true,
"tosidebar": true,
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