Created using Colaboratory

Mergekit.ipynb

@@ -5,7 +5,7 @@
     "colab": {
       "provenance": [],
       "machine_shape": "hm",
-      "authorship_tag": "ABX9TyNkCdo3uzEUbLA4CS6VfaEM",
+      "authorship_tag": "ABX9TyO11tndDoFEdL4+/FDgLad9",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -1486,13 +1486,14 @@
       "outputs": [],
       "source": [
         "!git clone https://github.com/cg123/mergekit.git\n",
-        "%cd mergekit\n",
+        "!cd mergekit && pip install -q -e ."
-        "!pip install -e ."
       ]
     },
     {
       "cell_type": "code",
       "source": [
+        "import yaml\n",
+        "\n",
         "MODEL_NAME = \"Marcoro14-7B-slerp\"\n",
         "yaml_config = \"\"\"\n",
         "slices:\n",
@@ -1511,40 +1512,24 @@
         "      value: [1, 0.5, 0.7, 0.3, 0]\n",
         "    - value: 0.5\n",
         "dtype: bfloat16\n",
-        "\"\"\""
+        "\n",
+        "\"\"\"\n",
+        "\n",
+        "# Save config as yaml file\n",
+        "with open('config.yaml', 'w', encoding=\"utf-8\") as f:\n",
+        "    f.write(yaml_config)"
       ],
       "metadata": {
         "id": "LGd7jlfCpNcg"
       },
-      "execution_count": 21,
+      "execution_count": null,
       "outputs": []
     },
     {
       "cell_type": "code",
       "source": [
-        "import yaml\n",
-        "import torch\n",
-        "\n",
-        "from mergekit.config import MergeConfiguration\n",
-        "from mergekit.merge import MergeOptions, run_merge\n",
-        "\n",
-        "# Load merge config\n",
-        "data = yaml.safe_load(yaml_config)\n",
-        "merge_config = MergeConfiguration.model_validate(data)\n",
-        "\n",
         "# Merge models\n",
-        "run_merge(\n",
+        "!mergekit-yaml config.yaml merge --copy-tokenizer --allow-crimes --out-shard-size 1B --lazy-unpickle"
-        "    merge_config,\n",
-        "    \"./merged\",\n",
-        "    options=MergeOptions(\n",
-        "        lora_merge_cache='/tmp',\n",
-        "        cuda=torch.cuda.is_available(),\n",
-        "        low_cpu_memory=True, # VRAM offloading\n",
-        "        copy_tokenizer=True,\n",
-        "        trust_remote_code=False,\n",
-        "        lazy_unpickle=False,\n",
-        "    ),\n",
-        ")"
       ],
       "metadata": {
         "id": "d5mYzDo1q96y"
@@ -1560,20 +1545,26 @@
         "from huggingface_hub import ModelCard, ModelCardData\n",
         "from jinja2 import Template\n",
         "\n",
+        "username = \"mlabonne\"\n",
+        "\n",
         "template_text = \"\"\"\n",
         "---\n",
         "license: apache-2.0\n",
         "tags:\n",
         "- merge\n",
         "- mergekit\n",
+        "- lazymergekit\n",
+        "{%- for model in models %}\n",
+        "- {{ model }}\n",
+        "{%- endfor %}\n",
         "---\n",
         "\n",
         "# {{ model_name }}\n",
         "\n",
-        "This model is a merge of the following models made with [mergekit](https://github.com/cg123/mergekit):\n",
+        "{{ model_name }} is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):\n",
         "\n",
         "{%- for model in models %}\n",
-        " * [{{ model }}](https://huggingface.co/{{ model }})\n",
+        "* [{{ model }}](https://huggingface.co/{{ model }})\n",
         "{%- endfor %}\n",
         "\n",
         "## 🧩 Configuration\n",
@@ -1587,6 +1578,7 @@
         "jinja_template = Template(template_text.strip())\n",
         "\n",
         "# Get list of models from config\n",
+        "data = yaml.safe_load(yaml_config)\n",
         "if \"models\" in data:\n",
         "    models = [data[\"models\"][i][\"model\"] for i in range(len(data[\"models\"])) if \"parameters\" in data[\"models\"][i]]\n",
         "elif \"parameters\" in data:\n",
@@ -1601,11 +1593,12 @@
         "    model_name=MODEL_NAME,\n",
         "    models=models,\n",
         "    yaml_config=yaml_config,\n",
+        "    username=username,\n",
         ")\n",
         "\n",
         "# Save the model card\n",
         "card = ModelCard(content)\n",
-        "card.save('merged/README.md')"
+        "card.save('merge/README.md')"
       ],
       "metadata": {
         "colab": {
@@ -1643,7 +1636,7 @@
         ")\n",
         "api.upload_folder(\n",
         "    repo_id=f\"{username}/{MODEL_NAME}\",\n",
-        "    folder_path=\"merged\",\n",
+        "    folder_path=\"merge\",\n",
         ")"
       ],
       "metadata": {