diff --git a/CMakeLists.txt b/CMakeLists.txt
index ae5a005a..5f2f1d5f 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -15,6 +15,7 @@ qt_add_executable(chat
     main.cpp
     gptj.h gptj.cpp
     llm.h llm.cpp
+    llmodel.h
 )
 
 qt_add_qml_module(chat
diff --git a/gptj.h b/gptj.h
index b3a42406..dcac6231 100644
--- a/gptj.h
+++ b/gptj.h
@@ -2,25 +2,21 @@
 #define GPTJ_H
 
 #include <string>
-#include <sstream>
 #include <functional>
 #include <vector>
+#include "llmodel.h"
 
 class GPTJPrivate;
-class GPTJ {
+class GPTJ : public LLModel {
 public:
     GPTJ();
     ~GPTJ();
 
-    bool loadModel(const std::string &modelPath, std::istream &fin);
-    bool isModelLoaded() const;
-    struct PromptContext {
-        std::vector<float> logits;
-        int32_t n_past = 0; // number of tokens in past conversation
-    };
+    bool loadModel(const std::string &modelPath, std::istream &fin) override;
+    bool isModelLoaded() const override;
     void prompt(const std::string &prompt, std::function<bool(const std::string&)> response,
         PromptContext &ctx, int32_t n_predict = 200, int32_t top_k = 40, float top_p = 0.9f,
-        float temp = 0.9f, int32_t n_batch = 9);
+        float temp = 0.9f, int32_t n_batch = 9) override;
 
 private:
     GPTJPrivate *d_ptr;
diff --git a/llm.cpp b/llm.cpp
index 1efffcef..38ea62e3 100644
--- a/llm.cpp
+++ b/llm.cpp
@@ -14,19 +14,19 @@ LLM *LLM::globalInstance()
     return llmInstance();
 }
 
-static GPTJ::PromptContext s_ctx;
+static LLModel::PromptContext s_ctx;
 
-GPTJObject::GPTJObject()
+LLMObject::LLMObject()
     : QObject{nullptr}
-    , m_gptj(new GPTJ)
+    , m_llmodel(new GPTJ)
 {
     moveToThread(&m_llmThread);
-    connect(&m_llmThread, &QThread::started, this, &GPTJObject::loadModel);
+    connect(&m_llmThread, &QThread::started, this, &LLMObject::loadModel);
     m_llmThread.setObjectName("llm thread");
     m_llmThread.start();
 }
 
-bool GPTJObject::loadModel()
+bool LLMObject::loadModel()
 {
     if (isModelLoaded())
         return true;
@@ -45,45 +45,45 @@ bool GPTJObject::loadModel()
     if (info.exists()) {
 
         auto fin = std::ifstream(filePath.toStdString(), std::ios::binary);
-        m_gptj->loadModel(modelName.toStdString(), fin);
+        m_llmodel->loadModel(modelName.toStdString(), fin);
         emit isModelLoadedChanged();
     }
 
-    if (m_gptj) {
+    if (m_llmodel) {
         m_modelName = info.baseName().remove(0, 5); // remove the ggml- prefix
         emit modelNameChanged();
     }
 
-    return m_gptj;
+    return m_llmodel;
 }
 
-bool GPTJObject::isModelLoaded() const
+bool LLMObject::isModelLoaded() const
 {
-    return m_gptj->isModelLoaded();
+    return m_llmodel->isModelLoaded();
 }
 
-void GPTJObject::resetResponse()
+void LLMObject::resetResponse()
 {
     m_response = std::string();
     emit responseChanged();
 }
 
-void GPTJObject::resetContext()
+void LLMObject::resetContext()
 {
-    s_ctx = GPTJ::PromptContext();
+    s_ctx = LLModel::PromptContext();
 }
 
-QString GPTJObject::response() const
+QString LLMObject::response() const
 {
     return QString::fromStdString(m_response);
 }
 
-QString GPTJObject::modelName() const
+QString LLMObject::modelName() const
 {
     return m_modelName;
 }
 
-bool GPTJObject::handleResponse(const std::string &response)
+bool LLMObject::handleResponse(const std::string &response)
 {
 #if 0
     printf("%s", response.c_str());
@@ -96,38 +96,38 @@ bool GPTJObject::handleResponse(const std::string &response)
     return !m_stopGenerating;
 }
 
-bool GPTJObject::prompt(const QString &prompt)
+bool LLMObject::prompt(const QString &prompt)
 {
     if (!isModelLoaded())
         return false;
 
     m_stopGenerating = false;
-    auto func = std::bind(&GPTJObject::handleResponse, this, std::placeholders::_1);
+    auto func = std::bind(&LLMObject::handleResponse, this, std::placeholders::_1);
     emit responseStarted();
-    m_gptj->prompt(prompt.toStdString(), func, s_ctx, 4096 /*number of chars to predict*/);
+    m_llmodel->prompt(prompt.toStdString(), func, s_ctx, 4096 /*number of chars to predict*/);
     emit responseStopped();
     return true;
 }
 
 LLM::LLM()
     : QObject{nullptr}
-    , m_gptj(new GPTJObject)
+    , m_llmodel(new LLMObject)
     , m_responseInProgress(false)
 {
-    connect(m_gptj, &GPTJObject::isModelLoadedChanged, this, &LLM::isModelLoadedChanged, Qt::QueuedConnection);
-    connect(m_gptj, &GPTJObject::responseChanged, this, &LLM::responseChanged, Qt::QueuedConnection);
-    connect(m_gptj, &GPTJObject::responseStarted, this, &LLM::responseStarted, Qt::QueuedConnection);
-    connect(m_gptj, &GPTJObject::responseStopped, this, &LLM::responseStopped, Qt::QueuedConnection);
-    connect(m_gptj, &GPTJObject::modelNameChanged, this, &LLM::modelNameChanged, Qt::QueuedConnection);
+    connect(m_llmodel, &LLMObject::isModelLoadedChanged, this, &LLM::isModelLoadedChanged, Qt::QueuedConnection);
+    connect(m_llmodel, &LLMObject::responseChanged, this, &LLM::responseChanged, Qt::QueuedConnection);
+    connect(m_llmodel, &LLMObject::responseStarted, this, &LLM::responseStarted, Qt::QueuedConnection);
+    connect(m_llmodel, &LLMObject::responseStopped, this, &LLM::responseStopped, Qt::QueuedConnection);
+    connect(m_llmodel, &LLMObject::modelNameChanged, this, &LLM::modelNameChanged, Qt::QueuedConnection);
 
-    connect(this, &LLM::promptRequested, m_gptj, &GPTJObject::prompt, Qt::QueuedConnection);
-    connect(this, &LLM::resetResponseRequested, m_gptj, &GPTJObject::resetResponse, Qt::BlockingQueuedConnection);
-    connect(this, &LLM::resetContextRequested, m_gptj, &GPTJObject::resetContext, Qt::BlockingQueuedConnection);
+    connect(this, &LLM::promptRequested, m_llmodel, &LLMObject::prompt, Qt::QueuedConnection);
+    connect(this, &LLM::resetResponseRequested, m_llmodel, &LLMObject::resetResponse, Qt::BlockingQueuedConnection);
+    connect(this, &LLM::resetContextRequested, m_llmodel, &LLMObject::resetContext, Qt::BlockingQueuedConnection);
 }
 
 bool LLM::isModelLoaded() const
 {
-    return m_gptj->isModelLoaded();
+    return m_llmodel->isModelLoaded();
 }
 
 void LLM::prompt(const QString &prompt)
@@ -147,12 +147,12 @@ void LLM::resetContext()
 
 void LLM::stopGenerating()
 {
-    m_gptj->stopGenerating();
+    m_llmodel->stopGenerating();
 }
 
 QString LLM::response() const
 {
-    return m_gptj->response();
+    return m_llmodel->response();
 }
 
 void LLM::responseStarted()
@@ -169,7 +169,7 @@ void LLM::responseStopped()
 
 QString LLM::modelName() const
 {
-    return m_gptj->modelName();
+    return m_llmodel->modelName();
 }
 
 bool LLM::checkForUpdates() const
diff --git a/llm.h b/llm.h
index 808fa886..3740723d 100644
--- a/llm.h
+++ b/llm.h
@@ -5,7 +5,7 @@
 #include <QThread>
 #include "gptj.h"
 
-class GPTJObject : public QObject
+class LLMObject : public QObject
 {
     Q_OBJECT
     Q_PROPERTY(bool isModelLoaded READ isModelLoaded NOTIFY isModelLoadedChanged)
@@ -14,7 +14,7 @@ class GPTJObject : public QObject
 
 public:
 
-    GPTJObject();
+    LLMObject();
 
     bool loadModel();
     bool isModelLoaded() const;
@@ -39,7 +39,7 @@ private:
     bool handleResponse(const std::string &response);
 
 private:
-    GPTJ *m_gptj;
+    LLModel *m_llmodel;
     std::string m_response;
     QString m_modelName;
     QThread m_llmThread;
@@ -84,7 +84,7 @@ private Q_SLOTS:
     void responseStopped();
 
 private:
-    GPTJObject *m_gptj;
+    LLMObject *m_llmodel;
     bool m_responseInProgress;
 
 private:
diff --git a/llmodel.h b/llmodel.h
new file mode 100644
index 00000000..da52d190
--- /dev/null
+++ b/llmodel.h
@@ -0,0 +1,24 @@
+#ifndef LLMODEL_H
+#define LLMODEL_H
+
+#include <string>
+#include <functional>
+#include <vector>
+
+class LLModel {
+public:
+    explicit LLModel() {}
+    virtual ~LLModel() {}
+
+    virtual bool loadModel(const std::string &modelPath, std::istream &fin) = 0;
+    virtual bool isModelLoaded() const = 0;
+    struct PromptContext {
+        std::vector<float> logits;
+        int32_t n_past = 0; // number of tokens in past conversation
+    };
+    virtual void prompt(const std::string &prompt, std::function<bool(const std::string&)> response,
+        PromptContext &ctx, int32_t n_predict = 200, int32_t top_k = 40, float top_p = 0.9f,
+        float temp = 0.9f, int32_t n_batch = 9) = 0;
+};
+
+#endif // LLMODEL_H
\ No newline at end of file