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https://github.com/nomic-ai/gpt4all.git
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106 lines
2.9 KiB
C++
106 lines
2.9 KiB
C++
#ifndef CHATLLM_H
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#define CHATLLM_H
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#include <QObject>
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#include <QThread>
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#include "../gpt4all-backend/llmodel.h"
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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 isModelLoaded READ isModelLoaded NOTIFY isModelLoadedChanged)
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Q_PROPERTY(QString response READ response NOTIFY responseChanged)
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Q_PROPERTY(QString modelName READ modelName WRITE setModelName NOTIFY modelNameChanged)
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Q_PROPERTY(bool isRecalc READ isRecalc NOTIFY recalcChanged)
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Q_PROPERTY(QString generatedName READ generatedName NOTIFY generatedNameChanged)
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public:
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enum ModelType {
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MPT_,
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GPTJ_,
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LLAMA_
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};
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ChatLLM(Chat *parent);
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virtual ~ChatLLM();
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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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QString response() const;
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QString modelName() const;
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void setModelName(const QString &modelName);
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bool isRecalc() const { return m_isRecalc; }
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QString generatedName() const { return QString::fromStdString(m_nameResponse); }
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bool serialize(QDataStream &stream, int version);
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bool deserialize(QDataStream &stream, int version);
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public Q_SLOTS:
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bool prompt(const QString &prompt, const QString &prompt_template, int32_t n_predict,
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int32_t top_k, float top_p, float temp, int32_t n_batch, float repeat_penalty, int32_t repeat_penalty_tokens,
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int32_t n_threads);
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bool loadDefaultModel();
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bool loadModel(const QString &modelName);
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void modelNameChangeRequested(const QString &modelName);
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void unloadModel();
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void reloadModel(const QString &modelName);
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void generateName();
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void handleChatIdChanged();
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Q_SIGNALS:
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void isModelLoadedChanged();
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void modelLoadingError(const QString &error);
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void responseChanged();
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void responseStarted();
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void responseStopped();
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void modelNameChanged();
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void recalcChanged();
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void sendStartup();
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void sendModelLoaded();
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void sendResetContext();
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void generatedNameChanged();
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void stateChanged();
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void threadStarted();
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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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void resetContextProtected();
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private:
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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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void saveState();
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void restoreState();
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private:
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LLModel *m_llmodel;
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std::string m_response;
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std::string m_nameResponse;
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quint32 m_responseLogits;
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QString m_modelName;
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ModelType m_modelType;
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Chat *m_chat;
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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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bool m_isRecalc;
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};
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#endif // CHATLLM_H
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