mirror of
https://github.com/nomic-ai/gpt4all.git
synced 2024-09-11 21:27:37 +03:00
246 lines
7.8 KiB
C++
246 lines
7.8 KiB
C++
#ifndef CHATLLM_H
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#define CHATLLM_H
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#include "database.h" // IWYU pragma: keep
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#include "modellist.h"
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#include "../gpt4all-backend/llmodel.h"
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#include <QByteArray>
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#include <QElapsedTimer>
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#include <QFileInfo>
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#include <QList>
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#include <QObject>
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#include <QPair>
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#include <QString>
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#include <QThread>
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#include <QVariantMap>
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#include <QVector>
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#include <QtGlobal>
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#include <atomic>
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#include <cstdint>
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#include <memory>
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#include <optional>
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#include <string>
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using namespace Qt::Literals::StringLiterals;
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class QDataStream;
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enum LLModelType {
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GPTJ_,
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LLAMA_,
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API_,
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};
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class ChatLLM;
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struct LLModelInfo {
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std::unique_ptr<LLModel> model;
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QFileInfo fileInfo;
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std::optional<QString> fallbackReason;
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// NOTE: This does not store the model type or name on purpose as this is left for ChatLLM which
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// must be able to serialize the information even if it is in the unloaded state
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void resetModel(ChatLLM *cllm, LLModel *model = nullptr);
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};
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class TokenTimer : public QObject {
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Q_OBJECT
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public:
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explicit TokenTimer(QObject *parent)
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: QObject(parent)
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, m_elapsed(0) {}
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static int rollingAverage(int oldAvg, int newNumber, int n)
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{
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// i.e. to calculate the new average after then nth number,
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// you multiply the old average by n−1, add the new number, and divide the total by n.
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return qRound(((float(oldAvg) * (n - 1)) + newNumber) / float(n));
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}
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void start() { m_tokens = 0; m_elapsed = 0; m_time.invalidate(); }
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void stop() { handleTimeout(); }
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void inc() {
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if (!m_time.isValid())
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m_time.start();
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++m_tokens;
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if (m_time.elapsed() > 999)
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handleTimeout();
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}
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Q_SIGNALS:
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void report(const QString &speed);
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private Q_SLOTS:
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void handleTimeout()
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{
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m_elapsed += m_time.restart();
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emit report(u"%1 tokens/sec"_s.arg(m_tokens / float(m_elapsed / 1000.0f), 0, 'g', 2));
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}
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private:
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QElapsedTimer m_time;
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qint64 m_elapsed;
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quint32 m_tokens;
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};
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class Chat;
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class ChatLLM : public QObject
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{
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Q_OBJECT
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Q_PROPERTY(bool isRecalc READ isRecalc NOTIFY recalcChanged)
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Q_PROPERTY(QString deviceBackend READ deviceBackend NOTIFY loadedModelInfoChanged)
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Q_PROPERTY(QString device READ device NOTIFY loadedModelInfoChanged)
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Q_PROPERTY(QString fallbackReason READ fallbackReason NOTIFY loadedModelInfoChanged)
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public:
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ChatLLM(Chat *parent, bool isServer = false);
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virtual ~ChatLLM();
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void destroy();
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static void destroyStore();
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bool isModelLoaded() const;
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void regenerateResponse();
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void resetResponse();
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void resetContext();
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void stopGenerating() { m_stopGenerating = true; }
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bool shouldBeLoaded() const { return m_shouldBeLoaded; }
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void setShouldBeLoaded(bool b);
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void requestTrySwitchContext();
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void setForceUnloadModel(bool b) { m_forceUnloadModel = b; }
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void setMarkedForDeletion(bool b) { m_markedForDeletion = b; }
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QString response() const;
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ModelInfo modelInfo() const;
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void setModelInfo(const ModelInfo &info);
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bool isRecalc() const { return m_isRecalc; }
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void acquireModel();
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void resetModel();
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QString deviceBackend() const
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{
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if (!isModelLoaded()) return QString();
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std::string name = LLModel::GPUDevice::backendIdToName(m_llModelInfo.model->backendName());
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return QString::fromStdString(name);
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}
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QString device() const
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{
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if (!isModelLoaded()) return QString();
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const char *name = m_llModelInfo.model->gpuDeviceName();
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return name ? QString(name) : u"CPU"_s;
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}
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// not loaded -> QString(), no fallback -> QString("")
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QString fallbackReason() const
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{
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if (!isModelLoaded()) return QString();
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return m_llModelInfo.fallbackReason.value_or(u""_s);
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}
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QString generatedName() const { return QString::fromStdString(m_nameResponse); }
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bool serialize(QDataStream &stream, int version, bool serializeKV);
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bool deserialize(QDataStream &stream, int version, bool deserializeKV, bool discardKV);
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void setStateFromText(const QVector<QPair<QString, QString>> &stateFromText) { m_stateFromText = stateFromText; }
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public Q_SLOTS:
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bool prompt(const QList<QString> &collectionList, const QString &prompt);
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bool loadDefaultModel();
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void trySwitchContextOfLoadedModel(const ModelInfo &modelInfo);
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bool loadModel(const ModelInfo &modelInfo);
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void modelChangeRequested(const ModelInfo &modelInfo);
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void unloadModel();
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void reloadModel();
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void generateName();
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void handleChatIdChanged(const QString &id);
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void handleShouldBeLoadedChanged();
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void handleThreadStarted();
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void handleForceMetalChanged(bool forceMetal);
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void handleDeviceChanged();
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void processSystemPrompt();
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void processRestoreStateFromText();
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Q_SIGNALS:
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void recalcChanged();
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void loadedModelInfoChanged();
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void modelLoadingPercentageChanged(float);
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void modelLoadingError(const QString &error);
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void modelLoadingWarning(const QString &warning);
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void responseChanged(const QString &response);
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void promptProcessing();
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void responseStopped(qint64 promptResponseMs);
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void generatedNameChanged(const QString &name);
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void stateChanged();
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void threadStarted();
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void shouldBeLoadedChanged();
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void trySwitchContextRequested(const ModelInfo &modelInfo);
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void trySwitchContextOfLoadedModelCompleted(int value);
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void requestRetrieveFromDB(const QList<QString> &collections, const QString &text, int retrievalSize, QList<ResultInfo> *results);
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void reportSpeed(const QString &speed);
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void reportDevice(const QString &device);
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void reportFallbackReason(const QString &fallbackReason);
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void databaseResultsChanged(const QList<ResultInfo>&);
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void modelInfoChanged(const ModelInfo &modelInfo);
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protected:
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bool promptInternal(const QList<QString> &collectionList, const QString &prompt, const QString &promptTemplate,
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int32_t n_predict, int32_t top_k, float top_p, float min_p, float temp, int32_t n_batch, float repeat_penalty,
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int32_t repeat_penalty_tokens);
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bool handlePrompt(int32_t token);
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bool handleResponse(int32_t token, const std::string &response);
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bool handleRecalculate(bool isRecalc);
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bool handleNamePrompt(int32_t token);
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bool handleNameResponse(int32_t token, const std::string &response);
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bool handleNameRecalculate(bool isRecalc);
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bool handleSystemPrompt(int32_t token);
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bool handleSystemResponse(int32_t token, const std::string &response);
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bool handleSystemRecalculate(bool isRecalc);
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bool handleRestoreStateFromTextPrompt(int32_t token);
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bool handleRestoreStateFromTextResponse(int32_t token, const std::string &response);
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bool handleRestoreStateFromTextRecalculate(bool isRecalc);
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void saveState();
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void restoreState();
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protected:
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LLModel::PromptContext m_ctx;
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quint32 m_promptTokens;
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quint32 m_promptResponseTokens;
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private:
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bool loadNewModel(const ModelInfo &modelInfo, QVariantMap &modelLoadProps);
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std::string m_response;
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std::string m_nameResponse;
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LLModelInfo m_llModelInfo;
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LLModelType m_llModelType;
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ModelInfo m_modelInfo;
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TokenTimer *m_timer;
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QByteArray m_state;
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QThread m_llmThread;
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std::atomic<bool> m_stopGenerating;
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std::atomic<bool> m_shouldBeLoaded;
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std::atomic<bool> m_isRecalc;
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std::atomic<bool> m_forceUnloadModel;
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std::atomic<bool> m_markedForDeletion;
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bool m_isServer;
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bool m_forceMetal;
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bool m_reloadingToChangeVariant;
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bool m_processedSystemPrompt;
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bool m_restoreStateFromText;
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// m_pristineLoadedState is set if saveSate is unnecessary, either because:
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// - an unload was queued during LLModel::restoreState()
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// - the chat will be restored from text and hasn't been interacted with yet
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bool m_pristineLoadedState = false;
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QVector<QPair<QString, QString>> m_stateFromText;
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};
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#endif // CHATLLM_H
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