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This code:
import { uuid } from "uuidv4"; import { LLamaEmbeddings } from "llama-node/dist/extensions/langchain.js"; import path from "path"; import { LLM } from "llama-node"; import { LLamaCpp } from "llama-node/dist/llm/llama-cpp.js"; const model = path.resolve( process.cwd(), "models/llama-2-7b-chat.ggmlv3.q4_0.bin" ); const llama = new LLM(LLamaCpp); const config = { modelPath: model, enableLogging: true, numPredict: 128, temperature: 0.2, topP: 1, topK: 40, repeatPenalty: 1, repeatLastN: 64, nCtx: 1024, seed: 0, f16Kv: false, logitsAll: false, vocabOnly: false, useMlock: false, useMmap: true, nGpuLayers: 0, }; const run = async () => { await llama.load(config); const embeddings = new LLamaEmbeddings({ maxConcurrency: 1 } , llama ) const documents = await processFiles("./documents"); const documentsArr = documents.map((doc) => doc.pageContent); const embeddingsArr = await embeddings.embedDocuments(documentsArr); } run();
Output:
node:internal/process/esm_loader:91 internalBinding('errors').triggerUncaughtException( ^ [Error: Failed to get embeddings] { code: 'GenericFailure' }
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This code:
Output:
The text was updated successfully, but these errors were encountered: