diff --git a/CHANGELOG b/CHANGELOG
index fda13cc..57d6aaa 100644
--- a/CHANGELOG
+++ b/CHANGELOG
@@ -1,4 +1,5 @@
 0.16.4
+ - feat: option to include model and params in autosave tsv filename (#49)
  - setup: support latest python versions (#32, #46)
  - setup: support latest matplotlib versions (#32, #46)
  - fix: remember user's choice upon curve open (#44, #45)
diff --git a/pyjibe/fd/main.py b/pyjibe/fd/main.py
index 35c27b9..8808cf7 100644
--- a/pyjibe/fd/main.py
+++ b/pyjibe/fd/main.py
@@ -31,6 +31,22 @@
     DlgAutosave = uic.loadUiType(dlg_autosave_path)[0]
 
 
+def _make_params_suffix(fit_props):
+    """Build a filename-safe suffix from model key and fixed initial params.
+
+    Sections are separated by hyphens; underscores within model key or
+    parameter names are preserved. Example:
+    ``hertz_cone-E4.5e+03-alpha30-nu0.5-contact_point0``
+    """
+    parts = [fit_props["model_key"]]
+    fp = fit_props.get("params_initial", {})
+    for key in sorted(fp):
+        p = fp[key]
+        if not p.vary and not p.expr and not key.startswith("_"):
+            parts.append(f"{key}{p.value:.3g}")
+    return "-".join(parts)
+
+
 class UiForceDistance(QtWidgets.QWidget):
     _instance_counter = 0
     # remember the user's autosave overwrite choice for the current gui
@@ -266,7 +282,13 @@ def autosave(self, fdist):
                 ):
                     exp_curv.append(ar)
             # The file to export
-            fname = os.path.join(adir, "pyjibe_fit_results_leaf.tsv")
+            if (self.cb_autosave_name_params.checkState()
+                    == QtCore.Qt.CheckState.Checked):
+                suffix = _make_params_suffix(fdist.fit_properties)
+                basename = f"pyjibe_fit_results_leaf-{suffix}.tsv"
+            else:
+                basename = "pyjibe_fit_results_leaf.tsv"
+            fname = os.path.join(adir, basename)
 
             # Only export if we have curves to export
             if exp_curv:
diff --git a/pyjibe/fd/main.ui b/pyjibe/fd/main.ui
index 0bddabc..bfd4caf 100644
--- a/pyjibe/fd/main.ui
+++ b/pyjibe/fd/main.ui
@@ -501,6 +501,16 @@
            </property>
           </widget>
          </item>
+         <item>
+          <widget class="QCheckBox" name="cb_autosave_name_params">
+           <property name="text">
+            <string>Include model and params in filename</string>
+           </property>
+           <property name="checked">
+            <bool>false</bool>
+           </property>
+          </widget>
+         </item>
          <item>
           <widget class="QRadioButton" name="radioButton">
            <property name="text">
diff --git a/tests/test_fd_fit.py b/tests/test_fd_fit.py
index 5f37733..2ef68d7 100644
--- a/tests/test_fd_fit.py
+++ b/tests/test_fd_fit.py
@@ -262,3 +262,36 @@ def test_set_indentation_depth_manually_infdoublespinbox(qtbot):
         qtbot.keyClicks(war.tab_fit.sp_range_1, text_entered)
         assert war.tab_fit.sp_range_1.value() == resulting_value
     main_window.close()
+
+
+def test_autosave_name_params(qtbot, tmp_path):
+    """cb_autosave_name_params embeds model+params in the TSV filename."""
+    import shutil
+    src = data_path / "spot3-0192.jpk-force"
+    dest = tmp_path / "spot3-0192.jpk-force"
+    shutil.copy2(src, dest)
+
+    main_window = pyjibe.head.PyJibe()
+    qtbot.addWidget(main_window)
+    main_window.load_data(files=[dest])
+    war = main_window.subwindows[0].widget()
+    war.tab_preprocess.set_preprocessing(["compute_tip_position"])
+    war.tab_fit.cb_weight_cp.setCheckState(QtCore.Qt.CheckState.Unchecked)
+
+    # Default (checkbox off): standard filename
+    war.cb_autosave.setChecked(True)
+    war.cb_autosave_name_params.setChecked(False)
+    war.on_tab_changed()
+    default_files = list(tmp_path.glob("pyjibe_fit_results_leaf.tsv"))
+    assert len(default_files) == 1
+
+    # Remove it and re-run with checkbox on
+    default_files[0].unlink()
+    war._autosave_original_files.clear()
+    war.cb_autosave_name_params.setChecked(True)
+    war.on_tab_changed()
+    param_files = [f for f in tmp_path.glob("pyjibe_fit_results_leaf-*.tsv")]
+    assert len(param_files) == 1
+    assert "hertz" in param_files[0].name
+
+    main_window.close()