727 lines
24 KiB
JavaScript
727 lines
24 KiB
JavaScript
import { isMobile } from './RossAscends-mods.js';
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import { amount_gen, callPopup, eventSource, event_types, getRequestHeaders, max_context, online_status, setGenerationParamsFromPreset } from '../script.js';
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import { textgenerationwebui_settings as textgen_settings, textgen_types } from './textgen-settings.js';
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import { tokenizers } from './tokenizers.js';
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import { renderTemplateAsync } from './templates.js';
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import { POPUP_TYPE, callGenericPopup } from './popup.js';
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let mancerModels = [];
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let togetherModels = [];
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let infermaticAIModels = [];
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let dreamGenModels = [];
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let vllmModels = [];
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let aphroditeModels = [];
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let featherlessModels = [];
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export let openRouterModels = [];
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/**
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* List of OpenRouter providers.
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* @type {string[]}
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*/
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const OPENROUTER_PROVIDERS = [
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'OpenAI',
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'Anthropic',
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'HuggingFace',
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'Google',
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'Mancer',
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'Mancer 2',
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'Together',
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'DeepInfra',
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'Azure',
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'Modal',
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'AnyScale',
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'Replicate',
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'Perplexity',
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'Recursal',
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'Fireworks',
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'Mistral',
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'Groq',
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'Cohere',
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'Lepton',
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'OctoAI',
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'Novita',
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'Lynn',
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'Lynn 2',
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'DeepSeek',
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'Infermatic',
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];
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export async function loadOllamaModels(data) {
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if (!Array.isArray(data)) {
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console.error('Invalid Ollama models data', data);
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return;
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}
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if (!data.find(x => x.id === textgen_settings.ollama_model)) {
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textgen_settings.ollama_model = data[0]?.id || '';
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}
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$('#ollama_model').empty();
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for (const model of data) {
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const option = document.createElement('option');
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option.value = model.id;
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option.text = model.name;
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option.selected = model.id === textgen_settings.ollama_model;
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$('#ollama_model').append(option);
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}
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}
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export async function loadTogetherAIModels(data) {
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if (!Array.isArray(data)) {
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console.error('Invalid Together AI models data', data);
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return;
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}
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data.sort((a, b) => a.name.localeCompare(b.name));
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togetherModels = data;
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if (!data.find(x => x.name === textgen_settings.togetherai_model)) {
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textgen_settings.togetherai_model = data[0]?.name || '';
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}
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$('#model_togetherai_select').empty();
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for (const model of data) {
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// Hey buddy, I think you've got the wrong door.
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if (model.display_type === 'image') {
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continue;
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}
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const option = document.createElement('option');
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option.value = model.name;
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option.text = model.display_name;
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option.selected = model.name === textgen_settings.togetherai_model;
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$('#model_togetherai_select').append(option);
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}
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}
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export async function loadInfermaticAIModels(data) {
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if (!Array.isArray(data)) {
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console.error('Invalid Infermatic AI models data', data);
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return;
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}
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data.sort((a, b) => a.id.localeCompare(b.id));
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infermaticAIModels = data;
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if (!data.find(x => x.id === textgen_settings.infermaticai_model)) {
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textgen_settings.infermaticai_model = data[0]?.id || '';
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}
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$('#model_infermaticai_select').empty();
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for (const model of data) {
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if (model.display_type === 'image') {
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continue;
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}
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const option = document.createElement('option');
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option.value = model.id;
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option.text = model.id;
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option.selected = model.id === textgen_settings.infermaticai_model;
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$('#model_infermaticai_select').append(option);
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}
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}
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export async function loadDreamGenModels(data) {
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if (!Array.isArray(data)) {
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console.error('Invalid DreamGen models data', data);
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return;
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}
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dreamGenModels = data;
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if (!data.find(x => x.id === textgen_settings.dreamgen_model)) {
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textgen_settings.dreamgen_model = data[0]?.id || '';
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}
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$('#model_dreamgen_select').empty();
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for (const model of data) {
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if (model.display_type === 'image') {
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continue;
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}
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const option = document.createElement('option');
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option.value = model.id;
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option.text = model.id;
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option.selected = model.id === textgen_settings.dreamgen_model;
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$('#model_dreamgen_select').append(option);
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}
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}
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export async function loadMancerModels(data) {
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if (!Array.isArray(data)) {
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console.error('Invalid Mancer models data', data);
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return;
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}
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data.sort((a, b) => a.name.localeCompare(b.name));
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mancerModels = data;
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if (!data.find(x => x.id === textgen_settings.mancer_model)) {
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textgen_settings.mancer_model = data[0]?.id || '';
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}
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$('#mancer_model').empty();
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for (const model of data) {
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const option = document.createElement('option');
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option.value = model.id;
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option.text = model.name;
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option.selected = model.id === textgen_settings.mancer_model;
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$('#mancer_model').append(option);
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}
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}
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export async function loadOpenRouterModels(data) {
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if (!Array.isArray(data)) {
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console.error('Invalid OpenRouter models data', data);
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return;
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}
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data.sort((a, b) => a.name.localeCompare(b.name));
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openRouterModels = data;
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if (!data.find(x => x.id === textgen_settings.openrouter_model)) {
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textgen_settings.openrouter_model = data[0]?.id || '';
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}
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$('#openrouter_model').empty();
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for (const model of data) {
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const option = document.createElement('option');
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option.value = model.id;
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option.text = model.id;
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option.selected = model.id === textgen_settings.openrouter_model;
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$('#openrouter_model').append(option);
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}
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// Calculate the cost of the selected model + update on settings change
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calculateOpenRouterCost();
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}
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export async function loadVllmModels(data) {
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if (!Array.isArray(data)) {
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console.error('Invalid vLLM models data', data);
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return;
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}
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vllmModels = data;
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if (!data.find(x => x.id === textgen_settings.vllm_model)) {
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textgen_settings.vllm_model = data[0]?.id || '';
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}
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$('#vllm_model').empty();
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for (const model of data) {
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const option = document.createElement('option');
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option.value = model.id;
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option.text = model.id;
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option.selected = model.id === textgen_settings.vllm_model;
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$('#vllm_model').append(option);
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}
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}
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export async function loadAphroditeModels(data) {
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if (!Array.isArray(data)) {
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console.error('Invalid Aphrodite models data', data);
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return;
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}
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aphroditeModels = data;
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if (!data.find(x => x.id === textgen_settings.aphrodite_model)) {
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textgen_settings.aphrodite_model = data[0]?.id || '';
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}
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$('#aphrodite_model').empty();
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for (const model of data) {
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const option = document.createElement('option');
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option.value = model.id;
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option.text = model.id;
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option.selected = model.id === textgen_settings.aphrodite_model;
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$('#aphrodite_model').append(option);
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}
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}
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export async function loadFeatherlessModels(data) {
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if (!Array.isArray(data)) {
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console.error('Invalid Featherless models data', data);
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return;
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}
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data.sort((a, b) => a.id.localeCompare(b.id));
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featherlessModels = data;
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if (!data.find(x => x.id === textgen_settings.featherless_model)) {
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textgen_settings.featherless_model = data[0]?.id || '';
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}
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$('#featherless_model').empty();
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for (const model of data) {
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const option = document.createElement('option');
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option.value = model.id;
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option.text = model.id;
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option.selected = model.id === textgen_settings.featherless_model;
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$('#featherless_model').append(option);
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}
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}
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function onFeatherlessModelSelect() {
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const modelId = String($('#featherless_model').val());
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textgen_settings.featherless_model = modelId;
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$('#api_button_textgenerationwebui').trigger('click');
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const model = featherlessModels.find(x => x.id === modelId);
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setGenerationParamsFromPreset({ max_length: model.context_length });
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}
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function onMancerModelSelect() {
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const modelId = String($('#mancer_model').val());
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textgen_settings.mancer_model = modelId;
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$('#api_button_textgenerationwebui').trigger('click');
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const limits = mancerModels.find(x => x.id === modelId)?.limits;
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setGenerationParamsFromPreset({ max_length: limits.context });
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}
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function onTogetherModelSelect() {
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const modelName = String($('#model_togetherai_select').val());
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textgen_settings.togetherai_model = modelName;
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$('#api_button_textgenerationwebui').trigger('click');
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const model = togetherModels.find(x => x.name === modelName);
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setGenerationParamsFromPreset({ max_length: model.context_length });
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}
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function onInfermaticAIModelSelect() {
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const modelName = String($('#model_infermaticai_select').val());
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textgen_settings.infermaticai_model = modelName;
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$('#api_button_textgenerationwebui').trigger('click');
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const model = infermaticAIModels.find(x => x.id === modelName);
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setGenerationParamsFromPreset({ max_length: model.context_length });
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}
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function onDreamGenModelSelect() {
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const modelName = String($('#model_dreamgen_select').val());
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textgen_settings.dreamgen_model = modelName;
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$('#api_button_textgenerationwebui').trigger('click');
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// TODO(DreamGen): Consider retuning max_tokens from API and setting it here.
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}
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function onOllamaModelSelect() {
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const modelId = String($('#ollama_model').val());
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textgen_settings.ollama_model = modelId;
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$('#api_button_textgenerationwebui').trigger('click');
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}
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function onOpenRouterModelSelect() {
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const modelId = String($('#openrouter_model').val());
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textgen_settings.openrouter_model = modelId;
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$('#api_button_textgenerationwebui').trigger('click');
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const model = openRouterModels.find(x => x.id === modelId);
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setGenerationParamsFromPreset({ max_length: model.context_length });
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}
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function onVllmModelSelect() {
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const modelId = String($('#vllm_model').val());
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textgen_settings.vllm_model = modelId;
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$('#api_button_textgenerationwebui').trigger('click');
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}
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function onAphroditeModelSelect() {
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const modelId = String($('#aphrodite_model').val());
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textgen_settings.aphrodite_model = modelId;
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$('#api_button_textgenerationwebui').trigger('click');
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}
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function getMancerModelTemplate(option) {
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const model = mancerModels.find(x => x.id === option?.element?.value);
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if (!option.id || !model) {
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return option.text;
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}
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const creditsPerPrompt = (model.limits?.context - model.limits?.completion) * model.pricing?.prompt;
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const creditsPerCompletion = model.limits?.completion * model.pricing?.completion;
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const creditsTotal = Math.round(creditsPerPrompt + creditsPerCompletion).toFixed(0);
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return $((`
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<div class="flex-container flexFlowColumn">
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<div><strong>${DOMPurify.sanitize(model.name)}</strong> | <span>${model.limits?.context} ctx</span> / <span>${model.limits?.completion} res</span> | <small>Credits per request (max): ${creditsTotal}</small></div>
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</div>
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`));
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}
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function getTogetherModelTemplate(option) {
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const model = togetherModels.find(x => x.name === option?.element?.value);
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if (!option.id || !model) {
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return option.text;
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}
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return $((`
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<div class="flex-container flexFlowColumn">
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<div><strong>${DOMPurify.sanitize(model.name)}</strong> | <span>${model.context_length || '???'} tokens</span></div>
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<div><small>${DOMPurify.sanitize(model.description)}</small></div>
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</div>
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`));
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}
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function getInfermaticAIModelTemplate(option) {
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const model = infermaticAIModels.find(x => x.id === option?.element?.value);
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if (!option.id || !model) {
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return option.text;
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}
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return $((`
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<div class="flex-container flexFlowColumn">
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<div><strong>${DOMPurify.sanitize(model.id)}</strong></div>
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</div>
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`));
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}
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function getDreamGenModelTemplate(option) {
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const model = dreamGenModels.find(x => x.id === option?.element?.value);
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if (!option.id || !model) {
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return option.text;
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}
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return $((`
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<div class="flex-container flexFlowColumn">
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<div><strong>${DOMPurify.sanitize(model.id)}</strong></div>
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</div>
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`));
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}
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function getOpenRouterModelTemplate(option) {
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const model = openRouterModels.find(x => x.id === option?.element?.value);
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if (!option.id || !model) {
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return option.text;
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}
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let tokens_dollar = Number(1 / (1000 * model.pricing?.prompt));
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let tokens_rounded = (Math.round(tokens_dollar * 1000) / 1000).toFixed(0);
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const price = 0 === Number(model.pricing?.prompt) ? 'Free' : `${tokens_rounded}k t/$ `;
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return $((`
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<div class="flex-container flexFlowColumn" title="${DOMPurify.sanitize(model.id)}">
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<div><strong>${DOMPurify.sanitize(model.name)}</strong> | ${model.context_length} ctx | <small>${price}</small></div>
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</div>
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`));
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}
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function getVllmModelTemplate(option) {
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const model = vllmModels.find(x => x.id === option?.element?.value);
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if (!option.id || !model) {
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return option.text;
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}
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return $((`
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<div class="flex-container flexFlowColumn">
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<div><strong>${DOMPurify.sanitize(model.id)}</strong></div>
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</div>
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`));
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}
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function getAphroditeModelTemplate(option) {
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const model = aphroditeModels.find(x => x.id === option?.element?.value);
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if (!option.id || !model) {
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return option.text;
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}
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return $((`
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<div class="flex-container flexFlowColumn">
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<div><strong>${DOMPurify.sanitize(model.id)}</strong></div>
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</div>
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`));
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}
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function getFeatherlessModelTemplate(option) {
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const model = featherlessModels.find(x => x.id === option?.element?.value);
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if (!option.id || !model) {
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return option.text;
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}
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return $((`
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<div class="flex-container flexFlowColumn">
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<div><strong>${DOMPurify.sanitize(model.name)}</strong> | <span>${model.context_length || '???'} tokens</span></div>
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</div>
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`));
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}
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async function downloadOllamaModel() {
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try {
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const serverUrl = textgen_settings.server_urls[textgen_types.OLLAMA];
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if (!serverUrl) {
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toastr.info('Please connect to an Ollama server first.');
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return;
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}
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const html = `Enter a model tag, for example <code>llama2:latest</code>.<br>
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See <a target="_blank" href="https://ollama.ai/library">Library</a> for available models.`;
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const name = await callPopup(html, 'input', '', { okButton: 'Download' });
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if (!name) {
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return;
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}
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toastr.info('Download may take a while, please wait...', 'Working on it');
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const response = await fetch('/api/backends/text-completions/ollama/download', {
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method: 'POST',
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headers: getRequestHeaders(),
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body: JSON.stringify({
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name: name,
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api_server: serverUrl,
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}),
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});
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if (!response.ok) {
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throw new Error(response.statusText);
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}
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// Force refresh the model list
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toastr.success('Download complete. Please select the model from the dropdown.');
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$('#api_button_textgenerationwebui').trigger('click');
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} catch (err) {
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console.error(err);
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toastr.error('Failed to download Ollama model. Please try again.');
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}
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}
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async function downloadTabbyModel() {
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try {
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const serverUrl = textgen_settings.server_urls[textgen_types.TABBY];
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if (online_status === 'no_connection' || !serverUrl) {
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toastr.info('Please connect to a TabbyAPI server first.');
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return;
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}
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const downloadHtml = $(await renderTemplateAsync('tabbyDownloader'));
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const popupResult = await callGenericPopup(downloadHtml, POPUP_TYPE.CONFIRM, '', { okButton: 'Download', cancelButton: 'Cancel' });
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// User cancelled the download
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if (!popupResult) {
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return;
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}
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const repoId = downloadHtml.find('input[name="hf_repo_id"]').val().toString();
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if (!repoId) {
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toastr.error('A HuggingFace repo ID must be provided. Skipping Download.');
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return;
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}
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if (repoId.split('/').length !== 2) {
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toastr.error('A HuggingFace repo ID must be formatted as Author/Name. Please try again.');
|
|
return;
|
|
}
|
|
|
|
const params = {
|
|
repo_id: repoId,
|
|
folder_name: downloadHtml.find('input[name="folder_name"]').val() || undefined,
|
|
revision: downloadHtml.find('input[name="revision"]').val() || undefined,
|
|
token: downloadHtml.find('input[name="hf_token"]').val() || undefined,
|
|
};
|
|
|
|
for (const suffix of ['include', 'exclude']) {
|
|
const patterns = downloadHtml.find(`textarea[name="tabby_download_${suffix}"]`).val().toString();
|
|
if (patterns) {
|
|
params[suffix] = patterns.split('\n');
|
|
}
|
|
}
|
|
|
|
// Params for the server side of ST
|
|
params['api_server'] = serverUrl;
|
|
params['api_type'] = textgen_settings.type;
|
|
|
|
toastr.info('Downloading. Check the Tabby console for progress reports.');
|
|
|
|
const response = await fetch('/api/backends/text-completions/tabby/download', {
|
|
method: 'POST',
|
|
headers: getRequestHeaders(),
|
|
body: JSON.stringify(params),
|
|
});
|
|
|
|
if (response.status === 403) {
|
|
toastr.error('The provided key has invalid permissions. Please use an admin key for downloading.');
|
|
return;
|
|
} else if (!response.ok) {
|
|
throw new Error(response.statusText);
|
|
}
|
|
|
|
toastr.success('Download complete.');
|
|
} catch (err) {
|
|
console.error(err);
|
|
toastr.error('Failed to download HuggingFace model in TabbyAPI. Please try again.');
|
|
}
|
|
}
|
|
|
|
function calculateOpenRouterCost() {
|
|
if (textgen_settings.type !== textgen_types.OPENROUTER) {
|
|
return;
|
|
}
|
|
|
|
let cost = 'Unknown';
|
|
const model = openRouterModels.find(x => x.id === textgen_settings.openrouter_model);
|
|
|
|
if (model?.pricing) {
|
|
const completionCost = Number(model.pricing.completion);
|
|
const promptCost = Number(model.pricing.prompt);
|
|
const completionTokens = amount_gen;
|
|
const promptTokens = (max_context - completionTokens);
|
|
const totalCost = (completionCost * completionTokens) + (promptCost * promptTokens);
|
|
if (!isNaN(totalCost)) {
|
|
cost = '$' + totalCost.toFixed(3);
|
|
}
|
|
}
|
|
|
|
$('#or_prompt_cost').text(cost);
|
|
|
|
// Schedule an update when settings change
|
|
eventSource.removeListener(event_types.SETTINGS_UPDATED, calculateOpenRouterCost);
|
|
eventSource.once(event_types.SETTINGS_UPDATED, calculateOpenRouterCost);
|
|
}
|
|
|
|
export function getCurrentOpenRouterModelTokenizer() {
|
|
const modelId = textgen_settings.openrouter_model;
|
|
const model = openRouterModels.find(x => x.id === modelId);
|
|
switch (model?.architecture?.tokenizer) {
|
|
case 'Llama2':
|
|
return tokenizers.LLAMA;
|
|
case 'Llama3':
|
|
return tokenizers.LLAMA3;
|
|
case 'Yi':
|
|
return tokenizers.YI;
|
|
case 'Mistral':
|
|
return tokenizers.MISTRAL;
|
|
case 'Gemini':
|
|
return tokenizers.GEMMA;
|
|
case 'Claude':
|
|
return tokenizers.CLAUDE;
|
|
default:
|
|
return tokenizers.OPENAI;
|
|
}
|
|
}
|
|
|
|
export function getCurrentDreamGenModelTokenizer() {
|
|
const modelId = textgen_settings.dreamgen_model;
|
|
const model = dreamGenModels.find(x => x.id === modelId);
|
|
if (model.id.startsWith('opus-v1-sm')) {
|
|
return tokenizers.MISTRAL;
|
|
} else if (model.id.startsWith('opus-v1-lg')) {
|
|
return tokenizers.YI;
|
|
} else if (model.id.startsWith('opus-v1-xl')) {
|
|
return tokenizers.LLAMA;
|
|
} else {
|
|
return tokenizers.MISTRAL;
|
|
}
|
|
}
|
|
|
|
export function initTextGenModels() {
|
|
$('#mancer_model').on('change', onMancerModelSelect);
|
|
$('#model_togetherai_select').on('change', onTogetherModelSelect);
|
|
$('#model_infermaticai_select').on('change', onInfermaticAIModelSelect);
|
|
$('#model_dreamgen_select').on('change', onDreamGenModelSelect);
|
|
$('#ollama_model').on('change', onOllamaModelSelect);
|
|
$('#openrouter_model').on('change', onOpenRouterModelSelect);
|
|
$('#ollama_download_model').on('click', downloadOllamaModel);
|
|
$('#vllm_model').on('change', onVllmModelSelect);
|
|
$('#aphrodite_model').on('change', onAphroditeModelSelect);
|
|
$('#featherless_model').on('change', onFeatherlessModelSelect);
|
|
$('#tabby_download_model').on('click', downloadTabbyModel);
|
|
|
|
const providersSelect = $('.openrouter_providers');
|
|
for (const provider of OPENROUTER_PROVIDERS) {
|
|
providersSelect.append($('<option>', {
|
|
value: provider,
|
|
text: provider,
|
|
}));
|
|
}
|
|
|
|
if (!isMobile()) {
|
|
$('#mancer_model').select2({
|
|
placeholder: 'Select a model',
|
|
searchInputPlaceholder: 'Search models...',
|
|
searchInputCssClass: 'text_pole',
|
|
width: '100%',
|
|
templateResult: getMancerModelTemplate,
|
|
});
|
|
$('#model_togetherai_select').select2({
|
|
placeholder: 'Select a model',
|
|
searchInputPlaceholder: 'Search models...',
|
|
searchInputCssClass: 'text_pole',
|
|
width: '100%',
|
|
templateResult: getTogetherModelTemplate,
|
|
});
|
|
$('#ollama_model').select2({
|
|
placeholder: 'Select a model',
|
|
searchInputPlaceholder: 'Search models...',
|
|
searchInputCssClass: 'text_pole',
|
|
width: '100%',
|
|
});
|
|
$('#model_infermaticai_select').select2({
|
|
placeholder: 'Select a model',
|
|
searchInputPlaceholder: 'Search models...',
|
|
searchInputCssClass: 'text_pole',
|
|
width: '100%',
|
|
templateResult: getInfermaticAIModelTemplate,
|
|
});
|
|
$('#model_dreamgen_select').select2({
|
|
placeholder: 'Select a model',
|
|
searchInputPlaceholder: 'Search models...',
|
|
searchInputCssClass: 'text_pole',
|
|
width: '100%',
|
|
templateResult: getDreamGenModelTemplate,
|
|
});
|
|
$('#openrouter_model').select2({
|
|
placeholder: 'Select a model',
|
|
searchInputPlaceholder: 'Search models...',
|
|
searchInputCssClass: 'text_pole',
|
|
width: '100%',
|
|
templateResult: getOpenRouterModelTemplate,
|
|
});
|
|
$('#vllm_model').select2({
|
|
placeholder: 'Select a model',
|
|
searchInputPlaceholder: 'Search models...',
|
|
searchInputCssClass: 'text_pole',
|
|
width: '100%',
|
|
templateResult: getVllmModelTemplate,
|
|
});
|
|
$('#aphrodite_model').select2({
|
|
placeholder: 'Select a model',
|
|
searchInputPlaceholder: 'Search models...',
|
|
searchInputCssClass: 'text_pole',
|
|
width: '100%',
|
|
templateResult: getAphroditeModelTemplate,
|
|
});
|
|
$('#featherless_model').select2({
|
|
placeholder: 'Select a model',
|
|
searchInputPlaceholder: 'Search models...',
|
|
searchInputCssClass: 'text_pole',
|
|
width: '100%',
|
|
templateResult: getFeatherlessModelTemplate,
|
|
});
|
|
providersSelect.select2({
|
|
sorter: data => data.sort((a, b) => a.text.localeCompare(b.text)),
|
|
placeholder: 'Select providers. No selection = all providers.',
|
|
searchInputPlaceholder: 'Search providers...',
|
|
searchInputCssClass: 'text_pole',
|
|
width: '100%',
|
|
closeOnSelect: false,
|
|
});
|
|
providersSelect.on('select2:select', function (/** @type {any} */ evt) {
|
|
const element = evt.params.data.element;
|
|
const $element = $(element);
|
|
|
|
$element.detach();
|
|
$(this).append($element);
|
|
$(this).trigger('change');
|
|
});
|
|
}
|
|
}
|