mirror of
https://github.com/nomic-ai/gpt4all
synced 2024-11-04 12:00:10 +00:00
217 lines
5.6 KiB
C++
217 lines
5.6 KiB
C++
#include "llm.h"
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#include <QCoreApplication>
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#include <QDir>
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#include <QFile>
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#include <QProcess>
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#include <QResource>
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#include <fstream>
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class MyLLM: public LLM { };
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Q_GLOBAL_STATIC(MyLLM, llmInstance)
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LLM *LLM::globalInstance()
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{
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return llmInstance();
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}
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static LLModel::PromptContext s_ctx;
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LLMObject::LLMObject()
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: QObject{nullptr}
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, m_llmodel(new GPTJ)
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, m_responseTokens(0)
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, m_responseLogits(0)
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{
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moveToThread(&m_llmThread);
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connect(&m_llmThread, &QThread::started, this, &LLMObject::loadModel);
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m_llmThread.setObjectName("llm thread");
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m_llmThread.start();
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}
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bool LLMObject::loadModel()
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{
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if (isModelLoaded())
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return true;
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QDir dir(QCoreApplication::applicationDirPath());
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dir.setNameFilters(QStringList() << "ggml-*.bin");
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QStringList fileNames = dir.entryList();
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if (fileNames.isEmpty()) {
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qDebug() << "ERROR: Could not find any applicable models in directory"
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<< QCoreApplication::applicationDirPath();
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}
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QString modelName = fileNames.first();
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QString filePath = QCoreApplication::applicationDirPath() + QDir::separator() + modelName;
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QFileInfo info(filePath);
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if (info.exists()) {
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auto fin = std::ifstream(filePath.toStdString(), std::ios::binary);
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m_llmodel->loadModel(modelName.toStdString(), fin);
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emit isModelLoadedChanged();
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}
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if (m_llmodel) {
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m_modelName = info.completeBaseName().remove(0, 5); // remove the ggml- prefix
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emit modelNameChanged();
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}
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return m_llmodel;
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}
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bool LLMObject::isModelLoaded() const
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{
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return m_llmodel->isModelLoaded();
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}
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void LLMObject::resetResponse()
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{
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s_ctx.n_past -= m_responseTokens;
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s_ctx.logits.erase(s_ctx.logits.end() -= m_responseLogits, s_ctx.logits.end());
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m_responseTokens = 0;
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m_responseLogits = 0;
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m_response = std::string();
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emit responseChanged();
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}
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void LLMObject::resetContext()
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{
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resetResponse();
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s_ctx = LLModel::PromptContext();
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}
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QString LLMObject::response() const
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{
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return QString::fromStdString(m_response);
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}
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QString LLMObject::modelName() const
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{
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return m_modelName;
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}
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bool LLMObject::handleResponse(const std::string &response)
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{
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#if 0
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printf("%s", response.c_str());
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fflush(stdout);
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#endif
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++m_responseTokens;
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if (!response.empty()) {
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m_response.append(response);
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emit responseChanged();
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}
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// Stop generation if we encounter prompt or response tokens
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QString r = QString::fromStdString(m_response);
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if (r.contains("### Prompt:") || r.contains("### Response:"))
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return false;
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return !m_stopGenerating;
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}
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bool LLMObject::prompt(const QString &prompt)
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{
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if (!isModelLoaded())
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return false;
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QString instructPrompt = QString("Below is a prompt for either a task to complete "
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"or a piece of conversation."
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"Decide which and write an appropriate response to the prompt.\n"
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"### Prompt:\n"
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"%1"
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"### Response:\n").arg(prompt);
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m_stopGenerating = false;
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auto func = std::bind(&LLMObject::handleResponse, this, std::placeholders::_1);
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emit responseStarted();
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qint32 logitsBefore = s_ctx.logits.size();
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m_llmodel->prompt(instructPrompt.toStdString(), func, s_ctx, 4096 /*number of chars to predict*/);
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m_responseLogits += s_ctx.logits.size() - logitsBefore;
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emit responseStopped();
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return true;
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}
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LLM::LLM()
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: QObject{nullptr}
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, m_llmodel(new LLMObject)
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, m_responseInProgress(false)
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{
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connect(m_llmodel, &LLMObject::isModelLoadedChanged, this, &LLM::isModelLoadedChanged, Qt::QueuedConnection);
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connect(m_llmodel, &LLMObject::responseChanged, this, &LLM::responseChanged, Qt::QueuedConnection);
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connect(m_llmodel, &LLMObject::responseStarted, this, &LLM::responseStarted, Qt::QueuedConnection);
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connect(m_llmodel, &LLMObject::responseStopped, this, &LLM::responseStopped, Qt::QueuedConnection);
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connect(m_llmodel, &LLMObject::modelNameChanged, this, &LLM::modelNameChanged, Qt::QueuedConnection);
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connect(this, &LLM::promptRequested, m_llmodel, &LLMObject::prompt, Qt::QueuedConnection);
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connect(this, &LLM::resetResponseRequested, m_llmodel, &LLMObject::resetResponse, Qt::BlockingQueuedConnection);
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connect(this, &LLM::resetContextRequested, m_llmodel, &LLMObject::resetContext, Qt::BlockingQueuedConnection);
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}
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bool LLM::isModelLoaded() const
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{
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return m_llmodel->isModelLoaded();
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}
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void LLM::prompt(const QString &prompt)
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{
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emit promptRequested(prompt);
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}
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void LLM::resetResponse()
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{
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emit resetResponseRequested(); // blocking queued connection
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}
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void LLM::resetContext()
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{
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emit resetContextRequested(); // blocking queued connection
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}
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void LLM::stopGenerating()
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{
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m_llmodel->stopGenerating();
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}
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QString LLM::response() const
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{
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return m_llmodel->response();
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}
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void LLM::responseStarted()
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{
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m_responseInProgress = true;
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emit responseInProgressChanged();
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}
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void LLM::responseStopped()
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{
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m_responseInProgress = false;
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emit responseInProgressChanged();
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}
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QString LLM::modelName() const
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{
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return m_llmodel->modelName();
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}
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bool LLM::checkForUpdates() const
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{
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#if defined(Q_OS_LINUX)
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QString tool("maintenancetool");
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#elif defined(Q_OS_WINDOWS)
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QString tool("maintenancetool.exe");
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#elif defined(Q_OS_DARWIN)
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QString tool("../../../maintenancetool.app/Contents/MacOS/maintenancetool");
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#endif
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QString fileName = QCoreApplication::applicationDirPath()
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+ QDir::separator() + ".." + QDir::separator() + tool;
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if (!QFileInfo::exists(fileName)) {
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qDebug() << "Couldn't find tool at" << fileName << "so cannot check for updates!";
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return false;
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}
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return QProcess::startDetached(fileName);
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}
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