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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "DTD/xhtml1-transitional.dtd">
<!-- This page is only XHTML 1.0 Transitional because target is being used in a links -->
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<title>YaCy '#[clientname]#': LLM Selection</title>
#%env/templates/metas.template%#
</head>
<body id="IndexControl">
#%env/templates/header.template%#
#%env/templates/submenuIndexImport.template%#
<script>
let availableModels = [];
const downloadActivities = new Map();
let activeDownloadCount = 0;
const beforeUnloadHandler = event => {
event.preventDefault();
event.returnValue = "Model downloads are still running. Please wait until they finish.";
};
const RECOMMENDED_MODELS = [
["smollm2:360m-instruct-q4_K_M", "0.001", "0.5GB", "english-only minimalistic model for small devices", "Huggingface", "apache-2.0"],
["hf.co/mradermacher/EuroLLM-1.7B-Instruct-GGUF:Q4_K_M", "0.09", "1.5GB", "European Union - funded model, multilingual", "Various European Universities", "apache-2.0"],
["llama3.2:1b-instruct-q4_K_M", "0.18", "1.5GB", "A good 1B model", "Meta", "llama3.2"],
["llama3.2:3b-instruct-q4_K_M", "0.66", "3GB", "A good 3B model", "Meta", "llama3.2"],
["qwen3:4b-instruct-2507-q4_K_M", "7.70", "3GB", "Exceptional good 4B model", "Alibaba", "apache-2.0"],
["hf.co/mradermacher/Josiefied-Qwen3-4B-Instruct-2507-abliterated-v1-GGUF:Q4_K_M", "7.70", "3GB", "uncensored version of qwen3:4b", "huggingface.co/Goekdeniz-Guelmez", "apache-2.0"],
["hf.co/mradermacher/medgemma-4b-it-GGUF:Q4_K_M", "0.84", "4GB", "Medical Knowledge and Vision", "Google", "health-ai-developer-foundations"],
["hf.co/mradermacher/occiglot-7b-eu5-instruct-GGUF:Q4_K_M", "0.19", "5GB", "Support for top-5 EU languages (English, Spanish, French, German, and Italian)", "occiglot.eu", "apache-2.0"],
["hf.co/allenai/OLMoE-1B-7B-0125-Instruct-GGUF:Q4_K_M", "0.22", "5GB", "open and accessible training data, open-source training code, very fast", "allenai.org", "apache-2.0"],
["hf.co/bartowski/AGI-0_Art-0-8B-GGUF:Q4_K_M", "11.9", "6GB", "Exceptional good 8B model, ranking above ChatGPT-3.5", "AGI-0.com and Alibaba", "apache-2.0"],
["phi4:14b-q4_K_M", "5.24", "10GB", "Very strong, made with synthetic data", "Microsoft", "mit"],
["hf.co/mistralai/Magistral-Small-2509-GGUF:Q4_K_M", "5.18", "16GB", "European flagship model, strong multilangual, reasoning", "mistral.ai", "apache-2.0"],
["hf.co/bartowski/cognitivecomputations_Dolphin-Mistral-24B-Venice-Edition-GGUF:Q4_K_M", "", "16GB", "Uncensored multilingual european Mistral-24B for role playing", "mistral.ai and dphn.ai", "apache-2.0"],
["qwen3-vl:30b-a3b-instruct-q4_K_M", "17.33", "22GB", "Very fast, exceptional good 30B model, ranking above GPT-4-turbo, GPT-4.1-nano, GPT-o1, GPT-4o-mini", "Alibaba", "apache-2.0"]
];
/***
*** API functions to access Ollama or OpenAI endpoints (list/load/delete models)
***/
async function fetchJsonOrThrow(url, options = {}) {
const response = await fetch(url, options);
if (response.status !== 200) {
const error = new Error("Model fetch failed");
error.status = response.status;
throw error;
}
return response.json();
}
async function fetchOllamaModels(hoststub) {
return fetchJsonOrThrow(`${hoststub}/api/tags`);
}
async function deleteOllamaModel(hoststub, modelName) {
const response = await fetch(`${hoststub}/api/delete`, {
method: "DELETE",
headers: {"Accept": "application/json", "Content-Type": "application/json"},
body: JSON.stringify({ model: modelName })
});
if (response.status !== 200) {
const error = new Error(`Failed to delete model ${modelName}`);
error.status = response.status;
throw error;
}
}
async function downloadOllamaModel(hoststub, modelName) {
const response = await fetch(`${hoststub}/api/pull`, {
method: "POST",
headers: {"Accept": "application/json", "Content-Type": "application/json"},
body: JSON.stringify({ model: modelName, stream: false })
});
if (response.status !== 200) {
const error = new Error(`Failed to download model ${modelName}`);
error.status = response.status;
throw error;
}
const payload = await response.json().catch(() => null);
if (payload && payload.error) {
const error = new Error(payload.error);
error.status = response.status;
error.payload = payload;
throw error;
}
return payload;
}
async function fetchOpenAICompatibleModels(hoststub) {
return fetchJsonOrThrow(`${hoststub}/v1/models`);
}
async function requestModelsForProvider(provider, hoststub) {
return provider === "OLLAMA"
? fetchOllamaModels(hoststub)
: fetchOpenAICompatibleModels(hoststub);
}
function handleModelLoadError(provider, error) {
console.error("Error fetching models:", error);
const status = error && typeof error.status === "number" ? error.status : null;
if (status) {
const apikeyEl = document.getElementById("apikey");
apiKeyValue = apikeyEl ? apikeyEl.value.trim() : "";
if (provider !== "OLLAMA" && provider !== "LMSTUDIO" && !apiKeyValue) {
alert("an api key is required for this provider");
} else {
alert(`Failed to load models. HTTP status: ${status}`);
}
} else {
alert("Failed to load models. Check the hoststub and console for errors.");
}
}
async function loadModelList() {
availableModels = [];
const provider = document.getElementById("provider").value;
const hoststub = document.getElementById("hoststub").value;
try {
const responsej = await requestModelsForProvider(provider, hoststub);
renderAvailableModels(provider, responsej);
if (provider === "OLLAMA") {
renderRecommendedModels(hoststub);
} else {
const loadModelContainer = document.getElementById("loadModelContainer");
if (!loadModelContainer) return;
loadModelContainer.innerHTML = "";
loadModelContainer.style.display = "none";
}
} catch (error) {
handleModelLoadError(provider, error);
}
}
/***
*** Download Activity
***/
function updateBeforeUnloadGuard() {
if (activeDownloadCount > 0) {
window.addEventListener("beforeunload", beforeUnloadHandler);
} else {
window.removeEventListener("beforeunload", beforeUnloadHandler);
}
}
function getDownloadActivityElements() {
return {
container: document.getElementById("downloadActivityContainer"),
list: document.getElementById("downloadActivityList")
};
}
function addDownloadActivity(modelName) {
const { container, list } = getDownloadActivityElements();
if (!container || !list) return null;
const activityId = `download_${Date.now()}_${Math.random().toString(36).slice(2, 7)}`;
const wrapper = document.createElement("div");
wrapper.className = "download-activity";
wrapper.dataset.activityId = activityId;
wrapper.style.marginBottom = "8px";
wrapper.style.padding = "8px";
wrapper.style.border = "1px solid #ddd";
wrapper.style.borderRadius = "4px";
wrapper.style.backgroundColor = "#f8f8f8";
const title = document.createElement("div");
title.className = "download-activity-title";
title.textContent = `Downloading ${modelName}`;
title.style.fontWeight = "bold";
title.style.marginBottom = "4px";
wrapper.appendChild(title);
const progress = document.createElement("progress");
progress.max = 100;
progress.style.width = "100%";
progress.removeAttribute("value"); // indeterminate
progress.setAttribute("aria-busy", "true");
wrapper.appendChild(progress);
const subtitle = document.createElement("div");
subtitle.className = "download-activity-subtitle";
subtitle.textContent = "Download in progress…";
subtitle.style.fontSize = "0.9em";
subtitle.style.marginTop = "4px";
wrapper.appendChild(subtitle);
list.appendChild(wrapper);
container.style.display = "block";
downloadActivities.set(activityId, wrapper);
activeDownloadCount = downloadActivities.size;
updateBeforeUnloadGuard();
return activityId;
}
function removeDownloadActivity(activityId) {
const wrapper = downloadActivities.get(activityId);
if (wrapper && wrapper.parentNode) {
wrapper.parentNode.removeChild(wrapper);
}
if (downloadActivities.has(activityId)) {
downloadActivities.delete(activityId);
activeDownloadCount = downloadActivities.size;
}
const { container, list } = getDownloadActivityElements();
if (container && list && !list.hasChildNodes()) {
container.style.display = "none";
}
updateBeforeUnloadGuard();
}
/***
*** Rendering Functions
***/
function setHoststub() {
// this is called when the user changes the provider
const provider = document.getElementById("provider").value;
const hoststubInput = document.getElementById("hoststub");
const apikeyInput = document.getElementById("apikey");
if (provider === "OLLAMA") {
hoststubInput.value = "http://localhost:11434";
} else if (provider === "LMSTUDIO") {
hoststubInput.value = "http://localhost:1234";
} else if (provider === "OPENAI") {
hoststubInput.value = "https://api.openai.com";
} else if (provider === "OPENROUTER") {
hoststubInput.value = "https://openrouter.ai/api";
} else {
hoststubInput.value = "";
}
if (!apikeyInput) return;
if (provider === "OLLAMA" || provider === "LMSTUDIO") {
apikeyInput.disabled = true;
apikeyInput.value = "";
} else {
apikeyInput.disabled = false;
}
}
async function handleModelDelete(modelName, deleteButton) {
if (!modelName) return;
const hoststubInput = document.getElementById("hoststub");
const hoststub = hoststubInput ? hoststubInput.value.trim() : "";
if (!hoststub) {
alert("A hoststub is required to delete models.");
return;
}
if (deleteButton) {
deleteButton.disabled = true;
}
try {
await deleteOllamaModel(hoststub, modelName);
} catch (error) {
const status = error && typeof error.status === "number" ? error.status : null;
const message = status
? `Failed to delete model ${modelName}. HTTP status: ${status}`
: `Error while deleting model ${modelName}. Check the console for details.`;
alert(message);
console.error("Model deletion failed:", error);
return;
} finally {
if (deleteButton) {
deleteButton.disabled = false;
}
}
try {
await loadModelList();
} catch (refreshError) {
console.error("Failed to refresh models after deletion:", refreshError);
}
}
function renderAvailableModels(provider, payload) {
// called when the model list was loaded
const availableModelsContainer = document.getElementById("availableModelsContainer");
if (!availableModelsContainer) return;
availableModelsContainer.innerHTML = "<legend>Available Models</legend>";
availableModelsContainer.style.display = "none";
const models = provider === "OLLAMA" ? (payload.models || []) : (payload.data || []);
const getId = provider === "OLLAMA" ? m => m.model : m => m.id;
const frag = document.createDocumentFragment();
const table = document.createElement("table");
table.className = "table table-striped";
const thead = document.createElement("thead");
thead.className = "thead-dark";
const headerRow = document.createElement("tr");
["Model", "Actions"].forEach(h => {
const th = document.createElement("th");
th.textContent = h;
headerRow.appendChild(th);
});
thead.appendChild(headerRow);
table.appendChild(thead);
const tbody = document.createElement("tbody");
models.forEach(m => {
const id = getId(m);
if (!id) return;
availableModels.push(id);
const tr = document.createElement("tr");
const tdMain = document.createElement("td");
tdMain.textContent = id;
tr.appendChild(tdMain);
const actionsTd = document.createElement("td");
const deleteBtn = document.createElement("button");
deleteBtn.type = "button";
deleteBtn.className = "btn btn-danger btn-sm";
deleteBtn.textContent = "Delete";
deleteBtn.style.padding = "2px 8px";
deleteBtn.style.lineHeight = "1.2";
if (provider === "OLLAMA") {
deleteBtn.addEventListener("click", () => handleModelDelete(id, deleteBtn));
} else {
deleteBtn.disabled = true;
deleteBtn.title = "Model management is only supported for Ollama.";
}
actionsTd.appendChild(deleteBtn);
tr.appendChild(actionsTd);
tbody.appendChild(tr);
});
if (tbody.hasChildNodes()) {
table.appendChild(tbody);
frag.appendChild(table);
}
const hasModels = tbody.hasChildNodes();
availableModelsContainer.appendChild(frag);
availableModelsContainer.style.display = hasModels ? "block" : "none";
}
function renderRecommendedModels(hoststub) {
// called when the model list was loaded and the diff to the recommended model list is displayed
const loadModelContainer = document.getElementById("loadModelContainer");
if (!loadModelContainer) return;
loadModelContainer.innerHTML = "<legend>Recommended Models</legend>";
loadModelContainer.style.display = "none";
const downloadableModels = RECOMMENDED_MODELS.filter(m => m && !availableModels.includes(m[0]));
if (!downloadableModels.length) return;
const table = document.createElement("table");
table.className = "table table-striped";
const thead = document.createElement("thead");
thead.className = "thead-dark";
const headerRow = document.createElement("tr");
["Model", "Ranking", "Size", "Description", "Provider", "License", "Actions"].forEach(h => {
const th = document.createElement("th");
th.textContent = h;
headerRow.appendChild(th);
});
thead.appendChild(headerRow);
table.appendChild(thead);
const frag = document.createDocumentFragment();
downloadableModels.forEach(m => {
const modelName = m[0];
const tr = document.createElement("tr");
const tdMain = document.createElement("td");
tdMain.textContent = modelName;
tr.appendChild(tdMain);
[m[1], m[2], m[3], m[4], m[5]].forEach(text => {
const td = document.createElement("td");
td.textContent = text;
tr.appendChild(td);
});
const actionsTd = document.createElement("td");
const downloadBtn = document.createElement("button");
downloadBtn.type = "button";
downloadBtn.className = "btn btn-primary btn-sm";
downloadBtn.textContent = "Download";
downloadBtn.addEventListener("click", async () => {
const activityId = addDownloadActivity(modelName);
downloadBtn.disabled = true;
try {
await downloadOllamaModel(hoststub, modelName);
console.log(`Model ${modelName} is now available on server ${hoststub}.`);
} catch (err) {
const status = err && typeof err.status === "number" ? err.status : null;
const message = status
? `Failed to download model ${modelName}. HTTP status: ${status}`
: `Error pulling model ${modelName} from server ${hoststub}. Check the console for details.`;
alert(message);
console.error("Error during model pull request:", err);
} finally {
downloadBtn.disabled = false;
if (activityId) {
removeDownloadActivity(activityId);
}
try {
await loadModelList();
} catch (refreshError) {
console.error("Failed to refresh models after download:", refreshError);
}
}
});
actionsTd.appendChild(downloadBtn);
tr.appendChild(actionsTd);
frag.appendChild(tr);
});
const tbody = document.createElement("tbody");
tbody.appendChild(frag);
table.appendChild(tbody);
loadModelContainer.appendChild(table);
loadModelContainer.style.display = "block";
}
</script>
<h2>LLM Selection</h2>
<form id="llmForm">
<fieldset><legend>Provider</legend>
<dl>
<dt class="TableCellDark">Select a LLM Provider</dt>
<dd>
<select name="provider" id="provider" class="form-control" onchange="setHoststub()">
<option value="OLLAMA" selected="selected">Ollama</option>
<option value="LMSTUDIO">LMStudio</option>
<option value="OPENAI">OpenAI</option>
<option value="OPENROUTER">Open Router</option>
</select> This makes a preset to the Hoststub value
</dd>
<dt class="TableCellDark">Hoststub</dt>
<dd><input type="text" name="hoststub" id="hoststub" value="http://localhost:11434" size="30" maxlength="60" class="form-control"/> you can probably leave this to the default value
</dd>
<dt class="TableCellDark">API Key</dt>
<dd><input type="text" name="apikey" id="apikey" value="" disabled=true size="30" maxlength="60" class="form-control"/> (not required for Ollama or LMStudio)
</dd>
<dt class="TableCellDark">Max Token</dt>
<dd>
<select id="maxtoken" name="maxtoken" class="form-control">
<option selected="selected">4096</option>
<option>8192</option>
<option>16384</option>
<option>32768</option>
<option>65536</option>
<option>131072</option>
<option>262440</option>
</select> You must set the Context Length in the LLM provider to fit to your selected max token; in Ollama you find a Context Length slider in the settings
</dd>
<dt> </dt>
<dd><input name="llmselection" value="Load Model Name List" class="btn btn-primary" style="width:240px;" onclick="loadModelList()"/>
</dd>
</dl>
</fieldset>
</form>
<fieldset id="availableModelsContainer" style="display:none"></fieldset>
<fieldset id="loadModelContainer" style="display:none"></fieldset>
<fieldset id="downloadActivityContainer" style="display:none">
<legend>Model Downloads</legend>
<div id="downloadActivityList"></div>
</fieldset>
<fieldset><legend>LLM List</legend>
<table border="0" summary="Pack List Archive">
<tr class="TableHeader"><td>Pack</td><td>Process</td><td>Size (KB)</td></tr>
#{packs}#
<tr class="TableCell#(dark)#Light::Dark#(/dark)#"><td>#[file]#</td><td>#[type]#</td><td>#[size]#</td></tr>
#{/packs}#
</table>
</fieldset>
#%env/templates/footer.template%#
</body>
</html>
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