Add files using upload-large-folder tool
Browse files- .DS_Store +0 -0
- .gitignore +1 -0
- TeapotAI.js +123 -0
- config.json +34 -0
- generation_config.json +7 -0
- index.js +41 -0
- onnx/decoder_model.onnx +3 -0
- onnx/decoder_model_bnb4.onnx +3 -0
- onnx/decoder_model_fp16.onnx +3 -0
- onnx/decoder_model_int8.onnx +3 -0
- onnx/decoder_model_merged.onnx +3 -0
- onnx/decoder_model_merged_bnb4.onnx +3 -0
- onnx/decoder_model_merged_fp16.onnx +3 -0
- onnx/decoder_model_merged_int8.onnx +3 -0
- onnx/decoder_model_merged_q4.onnx +3 -0
- onnx/decoder_model_merged_q4f16.onnx +3 -0
- onnx/decoder_model_merged_quantized.onnx +3 -0
- onnx/decoder_model_merged_uint8.onnx +3 -0
- onnx/decoder_model_q4.onnx +3 -0
- onnx/decoder_model_q4f16.onnx +3 -0
- onnx/decoder_model_quantized.onnx +3 -0
- onnx/decoder_model_uint8.onnx +3 -0
- onnx/decoder_with_past_model.onnx +3 -0
- onnx/decoder_with_past_model_bnb4.onnx +3 -0
- onnx/decoder_with_past_model_fp16.onnx +3 -0
- onnx/decoder_with_past_model_int8.onnx +3 -0
- onnx/decoder_with_past_model_q4.onnx +3 -0
- onnx/decoder_with_past_model_q4f16.onnx +3 -0
- onnx/decoder_with_past_model_quantized.onnx +3 -0
- onnx/decoder_with_past_model_uint8.onnx +3 -0
- onnx/encoder_model.onnx +3 -0
- onnx/encoder_model_bnb4.onnx +3 -0
- onnx/encoder_model_fp16.onnx +3 -0
- onnx/encoder_model_int8.onnx +3 -0
- onnx/encoder_model_q4.onnx +3 -0
- onnx/encoder_model_q4f16.onnx +3 -0
- onnx/encoder_model_quantized.onnx +3 -0
- onnx/encoder_model_uint8.onnx +3 -0
- package.json +13 -0
- quantize_config.json +18 -0
- special_tokens_map.json +125 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +941 -0
- yarn.lock +627 -0
.DS_Store
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Binary file (6.15 kB). View file
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.gitignore
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node_modules
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TeapotAI.js
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import { pipeline, env } from '@huggingface/transformers';
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class TeapotAI {
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/**
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* Initializes the TeapotAI class.
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* @param {object} options - Configuration options.
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* @param {string} [options.modelId='teapotai/teapotllm'] - The Hugging Face model ID.
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* @param {boolean} [options.verbose=true] - Whether to print status messages.
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*/
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constructor({ modelId = 'teapotai/teapotllm', verbose = false } = {}) {
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this.modelId = modelId;
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this.verbose = verbose;
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this.generator = null;
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this.isInitialized = false;
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if (this.verbose) {
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console.log(`TeapotAI instance created for model: ${this.modelId}`);
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}
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}
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/**
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* Asynchronously initializes the text generation pipeline.
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* Must be called before using generate, query, or chat.
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*/
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async initialize() {
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if (this.isInitialized) {
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if (this.verbose) console.log("Pipeline already initialized.");
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return;
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}
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try {
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if (this.verbose) console.log(`Initializing generator pipeline for model: ${this.modelId}...`);
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const pipelineOptions = { model: this.modelId };
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this.generator = await pipeline('text2text-generation', pipelineOptions.model, pipelineOptions);
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this.isInitialized = true;
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if (this.verbose) console.log("Pipeline initialized successfully.");
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} catch (error) {
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console.error("Failed to initialize pipeline:", error);
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throw error;
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}
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}
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/**
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* Ensures the pipeline is initialized before proceeding.
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* @private
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*/
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_ensureInitialized() {
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if (!this.isInitialized || !this.generator) {
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throw new Error("Pipeline not initialized. Call initialize() before using query(), generate(), or chat().");
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}
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}
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/**
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* Generates text based on the input string.
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* (Internal method similar to the Python version's generate)
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* @param {string} inputText - The text prompt to generate a response for.
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* @returns {Promise<string>} The generated output from the model.
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*/
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async generate(inputText) {
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this._ensureInitialized();
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try {
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if (this.verbose) console.log("Generating text...");
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const output = await this.generator(inputText, {
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max_new_tokens: 512,
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});
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const generatedText = output[0]?.generated_text ?? "Error: Could not generate text.";
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if (this.verbose) console.log("Text generation complete.");
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return generatedText;
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} catch (error) {
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if (this.verbose) console.error("Error during text generation:", error);
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return "Error: Generation failed.";
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}
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}
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/**
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* Handles a query and context to generate a response.
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* (Focuses on the case where context is provided, skipping RAG)
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* @param {string} query - The query string to be answered.
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* @param {string} context - The context to guide the response.
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* @returns {Promise<string>} The generated response based on the query and context.
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*/
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async query(query, context) {
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this._ensureInitialized();
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let inputText;
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if (!context) {
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if (this.verbose) console.warn("Context is empty. Proceeding without context enhancement.");
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inputText = `Query: ${query}`;
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} else {
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inputText = `Context: ${context}\nQuery: ${query}`;
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if (this.verbose) console.log("\nFormatted Input for Query:\n", inputText);
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}
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return this.generate(inputText);
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}
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/**
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* Engages in a chat by taking a list of previous messages and generating a response.
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* @param {Array<object>} conversationHistory - An array of message objects, each expected to have a 'content' property. E.g., [{ content: 'User: Hi' }, { content: 'Agent: Hello!' }]
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* @returns {Promise<string>} The generated agent response based on the conversation history.
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*/
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async chat(conversationHistory) {
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this._ensureInitialized();
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if (!Array.isArray(conversationHistory)) {
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throw new Error("conversationHistory must be an array of message objects.");
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}
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let chatHistoryString = conversationHistory
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.map(message => message.content)
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.join("\n");
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const inputText = chatHistoryString + "\n" + "agent:";
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if (this.verbose) console.log("\nFormatted Input for Chat:\n", inputText);
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return this.generate(inputText);
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}
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}
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export default TeapotAI;
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config.json
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{
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"_attn_implementation_autoset": true,
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"_name_or_path": "teapotai/teapotllm",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"classifier_dropout": 0.0,
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"d_ff": 2816,
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"d_kv": 64,
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"d_model": 1024,
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"decoder_start_token_id": 0,
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"dense_act_fn": "gelu_new",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 24,
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"num_heads": 16,
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"num_layers": 24,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.49.0",
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"use_cache": true,
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"vocab_size": 32128
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}
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generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.49.0"
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}
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index.js
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import TeapotAI from './TeapotAI.js';
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const context = `
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The Eiffel Tower is a wrought iron lattice tower in Paris, France. It was designed by Gustave Eiffel and completed in 1889.
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It stands at a height of 330 meters and is one of the most recognizable structures in the world.
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`;
|
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const query = "What is the height of the Eiffel Tower?";
|
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|
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const conversation = [
|
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{ content: "user: Hi there! Can you tell me about the capital of France?" },
|
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{ content: "agent: Hello! The capital of France is Paris. It's known for landmarks like the Eiffel Tower and the Louvre Museum." },
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{ content: "user: What's the weather like there today?" }
|
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];
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|
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+
|
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async function main() {
|
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try {
|
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const teapotAI = new TeapotAI({
|
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+
// modelId: 'teapotai/teapotllm'
|
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modelId: './'
|
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});
|
22 |
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await teapotAI.initialize();
|
23 |
+
|
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// --- Example 1: Query Method ---
|
25 |
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console.log("\n--- Running Query Example ---");
|
26 |
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const queryAnswer = await teapotAI.query(query, context);
|
27 |
+
console.log("\nQuery Answer:");
|
28 |
+
console.log(queryAnswer);
|
29 |
+
|
30 |
+
// --- Example 2: Chat Method ---
|
31 |
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if (teapotAI.verbose) console.log("\n--- Running Chat Example ---");
|
32 |
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const chatResponse = await teapotAI.chat(conversation);
|
33 |
+
console.log("\nChat Response:");
|
34 |
+
console.log(chatResponse);
|
35 |
+
} catch (error) {
|
36 |
+
console.error("\n--- An error occurred ---");
|
37 |
+
console.error(error);
|
38 |
+
}
|
39 |
+
}
|
40 |
+
|
41 |
+
main();
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onnx/decoder_model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:6d07dfadf10c8fe4fbfbef43b1e4603b26276a4c6b761235e05293ed61ef7419
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size 1899943049
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onnx/decoder_model_bnb4.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/decoder_model_fp16.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/decoder_model_int8.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/decoder_model_merged.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/decoder_model_merged_bnb4.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/decoder_model_merged_fp16.onnx
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onnx/decoder_model_merged_int8.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/decoder_model_merged_q4.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/decoder_model_merged_q4f16.onnx
ADDED
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version https://git-lfs.github.com/spec/v1
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onnx/decoder_model_merged_quantized.onnx
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+
version https://git-lfs.github.com/spec/v1
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onnx/decoder_model_merged_uint8.onnx
ADDED
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version https://git-lfs.github.com/spec/v1
|
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1 |
+
{
|
2 |
+
"add_prefix_space": true,
|
3 |
+
"added_tokens_decoder": {
|
4 |
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"0": {
|
5 |
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"content": "<pad>",
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6 |
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7 |
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8 |
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9 |
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10 |
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11 |
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},
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12 |
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"1": {
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13 |
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14 |
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|
15 |
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|
16 |
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"rstrip": false,
|
17 |
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|
18 |
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"special": true
|
19 |
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},
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20 |
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"2": {
|
21 |
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22 |
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23 |
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|
24 |
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|
25 |
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|
26 |
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"special": true
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27 |
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28 |
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"32000": {
|
29 |
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|
30 |
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31 |
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|
32 |
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33 |
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34 |
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35 |
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36 |
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|
37 |
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38 |
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39 |
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|
40 |
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41 |
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42 |
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43 |
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44 |
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45 |
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46 |
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47 |
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48 |
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49 |
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50 |
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51 |
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52 |
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53 |
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54 |
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55 |
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56 |
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57 |
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58 |
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59 |
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60 |
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61 |
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62 |
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63 |
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66 |
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67 |
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68 |
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69 |
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70 |
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71 |
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73 |
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74 |
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75 |
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76 |
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77 |
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78 |
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79 |
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81 |
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82 |
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83 |
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84 |
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85 |
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93 |
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99 |
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100 |
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101 |
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102 |
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103 |
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105 |
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107 |
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109 |
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113 |
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114 |
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115 |
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117 |
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123 |
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147 |
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171 |
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173 |
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|
yarn.lock
ADDED
@@ -0,0 +1,627 @@
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1 |
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2 |
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# yarn lockfile v1
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dependencies:
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