Fixed vocab

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f9523886352217ded3aeeef552b381af79d568c6d49a4b9e423288cea56b0a44
-size 988097824
+oid sha256:468681d96c9d987f5f923dda6c9918a10a5d711278a189b4e24975bf647ea326
+size 988327168

test.ipynb

@@ -0,0 +1,100 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from safetensors.torch import load_file, save_file\n",
+    "import torch"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "file_path = \"/Qwen2.5-1.5B-Instruct/model.safetensors\"\n",
+    "tensors = load_file(file_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "model.embed_tokens.weight torch.Size([151936, 1536])\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 152064\n",
+    "# 151642\n",
+    "for name in tensors.keys():\n",
+    "    if 151936 in tensors[name].shape:\n",
+    "        print(name, tensors[name].shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "embed = \"model.embed_tokens.weight\"\n",
+    "new_vocab = 152064\n",
+    "source_shape = tensors[embed].shape\n",
+    "target_shape = torch.Size((new_vocab, source_shape[-1]))\n",
+    "\n",
+    "source = tensors[embed]\n",
+    "\n",
+    "target = torch.zeros(target_shape, dtype=source.dtype, device=source.device)\n",
+    "target[:source_shape[0], :] = source"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "updated_tensors = {**tensors, embed: target}\n",
+    "save_file(updated_tensors, file_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}