gpt4all/llm.h

141 lines
4.5 KiB
C++

#ifndef LLM_H
#define LLM_H
#include <QObject>
#include <QThread>
#include "llmodel/gptj.h"
#include "llmodel/llamamodel.h"
class LLMObject : public QObject
{
Q_OBJECT
Q_PROPERTY(QList<QString> modelList READ modelList NOTIFY modelListChanged)
Q_PROPERTY(bool isModelLoaded READ isModelLoaded NOTIFY isModelLoadedChanged)
Q_PROPERTY(QString response READ response NOTIFY responseChanged)
Q_PROPERTY(QString modelName READ modelName WRITE setModelName NOTIFY modelNameChanged)
Q_PROPERTY(int32_t threadCount READ threadCount WRITE setThreadCount NOTIFY threadCountChanged)
Q_PROPERTY(bool isRecalc READ isRecalc NOTIFY recalcChanged)
public:
LLMObject();
bool isModelLoaded() const;
void regenerateResponse();
void resetResponse();
void resetContext();
void stopGenerating() { m_stopGenerating = true; }
void setThreadCount(int32_t n_threads);
int32_t threadCount();
QString response() const;
QString modelName() const;
QList<QString> modelList() const;
void setModelName(const QString &modelName);
bool isRecalc() const { return m_isRecalc; }
public Q_SLOTS:
bool prompt(const QString &prompt, const QString &prompt_template, int32_t n_predict, int32_t top_k, float top_p,
float temp, int32_t n_batch, float repeat_penalty, int32_t repeat_penalty_tokens);
bool loadModel();
void modelNameChangeRequested(const QString &modelName);
Q_SIGNALS:
void isModelLoadedChanged();
void responseChanged();
void responseStarted();
void responseStopped();
void modelNameChanged();
void modelListChanged();
void threadCountChanged();
void recalcChanged();
private:
bool loadModelPrivate(const QString &modelName);
bool handleResponse(int32_t token, const std::string &response);
bool handleRecalculate(bool isRecalc);
private:
LLModel *m_llmodel;
std::string m_response;
quint32 m_responseTokens;
quint32 m_responseLogits;
QString m_modelName;
QThread m_llmThread;
std::atomic<bool> m_stopGenerating;
bool m_isRecalc;
};
class LLM : public QObject
{
Q_OBJECT
Q_PROPERTY(QList<QString> modelList READ modelList NOTIFY modelListChanged)
Q_PROPERTY(bool isModelLoaded READ isModelLoaded NOTIFY isModelLoadedChanged)
Q_PROPERTY(QString response READ response NOTIFY responseChanged)
Q_PROPERTY(QString modelName READ modelName WRITE setModelName NOTIFY modelNameChanged)
Q_PROPERTY(bool responseInProgress READ responseInProgress NOTIFY responseInProgressChanged)
Q_PROPERTY(int32_t threadCount READ threadCount WRITE setThreadCount NOTIFY threadCountChanged)
Q_PROPERTY(bool isRecalc READ isRecalc NOTIFY recalcChanged)
public:
static LLM *globalInstance();
Q_INVOKABLE bool isModelLoaded() const;
Q_INVOKABLE void prompt(const QString &prompt, const QString &prompt_template, int32_t n_predict, int32_t top_k, float top_p,
float temp, int32_t n_batch, float repeat_penalty, int32_t repeat_penalty_tokens);
Q_INVOKABLE void regenerateResponse();
Q_INVOKABLE void resetResponse();
Q_INVOKABLE void resetContext();
Q_INVOKABLE void stopGenerating();
Q_INVOKABLE void syncThreadCount();
Q_INVOKABLE void setThreadCount(int32_t n_threads);
Q_INVOKABLE int32_t threadCount();
QString response() const;
bool responseInProgress() const { return m_responseInProgress; }
QList<QString> modelList() const;
QString modelName() const;
void setModelName(const QString &modelName);
Q_INVOKABLE bool checkForUpdates() const;
bool isRecalc() const;
Q_SIGNALS:
void isModelLoadedChanged();
void responseChanged();
void responseInProgressChanged();
void promptRequested(const QString &prompt, const QString &prompt_template, int32_t n_predict, int32_t top_k, float top_p,
float temp, int32_t n_batch, float repeat_penalty, int32_t repeat_penalty_tokens);
void regenerateResponseRequested();
void resetResponseRequested();
void resetContextRequested();
void modelNameChangeRequested(const QString &modelName);
void modelNameChanged();
void modelListChanged();
void threadCountChanged();
void setThreadCountRequested(int32_t threadCount);
void recalcChanged();
private Q_SLOTS:
void responseStarted();
void responseStopped();
private:
LLMObject *m_llmodel;
int32_t m_desiredThreadCount;
bool m_responseInProgress;
private:
explicit LLM();
~LLM() {}
friend class MyLLM;
};
#endif // LLM_H