gpt4all/llm.cpp
Adam Treat f291853e51 First attempt at providing a persistent chat list experience.
Limitations:

1) Context is not restored for gpt-j models
2) When you switch between different model types in an existing chat
   the context and all the conversation is lost
3) The settings are not chat or conversation specific
4) The sizes of the chat persisted files are very large due to how much
   data the llama.cpp backend tries to persist. Need to investigate how
   we can shrink this.
2023-05-04 15:31:41 -04:00

78 lines
1.9 KiB
C++

#include "llm.h"
#include "download.h"
#include "network.h"
#include <QCoreApplication>
#include <QDir>
#include <QFile>
#include <QProcess>
#include <QResource>
#include <QSettings>
#include <fstream>
class MyLLM: public LLM { };
Q_GLOBAL_STATIC(MyLLM, llmInstance)
LLM *LLM::globalInstance()
{
return llmInstance();
}
LLM::LLM()
: QObject{nullptr}
, m_chatListModel(new ChatListModel(this))
, m_threadCount(std::min(4, (int32_t) std::thread::hardware_concurrency()))
{
connect(QCoreApplication::instance(), &QCoreApplication::aboutToQuit,
this, &LLM::aboutToQuit);
m_chatListModel->restoreChats();
if (m_chatListModel->count()) {
Chat *firstChat = m_chatListModel->get(0);
if (firstChat->chatModel()->count() < 2)
m_chatListModel->setNewChat(firstChat);
else
m_chatListModel->setCurrentChat(firstChat);
} else
m_chatListModel->addChat();
}
bool LLM::checkForUpdates() const
{
Network::globalInstance()->sendCheckForUpdates();
#if defined(Q_OS_LINUX)
QString tool("maintenancetool");
#elif defined(Q_OS_WINDOWS)
QString tool("maintenancetool.exe");
#elif defined(Q_OS_DARWIN)
QString tool("../../../maintenancetool.app/Contents/MacOS/maintenancetool");
#endif
QString fileName = QCoreApplication::applicationDirPath()
+ "/../" + tool;
if (!QFileInfo::exists(fileName)) {
qDebug() << "Couldn't find tool at" << fileName << "so cannot check for updates!";
return false;
}
return QProcess::startDetached(fileName);
}
int32_t LLM::threadCount() const
{
return m_threadCount;
}
void LLM::setThreadCount(int32_t n_threads)
{
if (n_threads <= 0)
n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency());
m_threadCount = n_threads;
emit threadCountChanged();
}
void LLM::aboutToQuit()
{
m_chatListModel->saveChats();
}