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1
+ {
2
+ "cells": [
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+ {
4
+ "cell_type": "code",
5
+ "execution_count": 1,
6
+ "metadata": {
7
+ "colab": {
8
+ "base_uri": "https://localhost:8080/"
9
+ },
10
+ "id": "8kRLBi7nUG7-",
11
+ "outputId": "64599c2e-1f03-429f-cf0f-1ef5ebc30410"
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+ },
13
+ "outputs": [
14
+ {
15
+ "name": "stdout",
16
+ "output_type": "stream",
17
+ "text": [
18
+ "Collecting git+https://github.com/huggingface/transformers.git@nanochat-implementation\n",
19
+ " Cloning https://github.com/huggingface/transformers.git (to revision nanochat-implementation) to /tmp/pip-req-build-bdw5j1b7\n",
20
+ " Running command git clone --filter=blob:none --quiet https://github.com/huggingface/transformers.git /tmp/pip-req-build-bdw5j1b7\n",
21
+ " Running command git checkout -b nanochat-implementation --track origin/nanochat-implementation\n",
22
+ " Switched to a new branch 'nanochat-implementation'\n",
23
+ " Branch 'nanochat-implementation' set up to track remote branch 'nanochat-implementation' from 'origin'.\n",
24
+ " Resolved https://github.com/huggingface/transformers.git to commit 992b26b84c75c46a1f9991c1ca354bbdd2412172\n",
25
+ " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
26
+ " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
27
+ " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
28
+ "Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from transformers==5.0.0.dev0) (3.20.0)\n",
29
+ "Collecting huggingface-hub==1.0.0.rc5 (from transformers==5.0.0.dev0)\n",
30
+ " Downloading huggingface_hub-1.0.0rc5-py3-none-any.whl.metadata (14 kB)\n",
31
+ "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.12/dist-packages (from transformers==5.0.0.dev0) (2.0.2)\n",
32
+ "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.12/dist-packages (from transformers==5.0.0.dev0) (25.0)\n",
33
+ "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.12/dist-packages (from transformers==5.0.0.dev0) (6.0.3)\n",
34
+ "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.12/dist-packages (from transformers==5.0.0.dev0) (2024.11.6)\n",
35
+ "Requirement already satisfied: requests in /usr/local/lib/python3.12/dist-packages (from transformers==5.0.0.dev0) (2.32.4)\n",
36
+ "Requirement already satisfied: tokenizers<=0.23.0,>=0.22.0 in /usr/local/lib/python3.12/dist-packages (from transformers==5.0.0.dev0) (0.22.1)\n",
37
+ "Requirement already satisfied: safetensors>=0.4.3 in /usr/local/lib/python3.12/dist-packages (from transformers==5.0.0.dev0) (0.6.2)\n",
38
+ "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.12/dist-packages (from transformers==5.0.0.dev0) (4.67.1)\n",
39
+ "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub==1.0.0.rc5->transformers==5.0.0.dev0) (2025.3.0)\n",
40
+ "Requirement already satisfied: httpx<1,>=0.23.0 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub==1.0.0.rc5->transformers==5.0.0.dev0) (0.28.1)\n",
41
+ "Collecting typer-slim (from huggingface-hub==1.0.0.rc5->transformers==5.0.0.dev0)\n",
42
+ " Downloading typer_slim-0.19.2-py3-none-any.whl.metadata (16 kB)\n",
43
+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub==1.0.0.rc5->transformers==5.0.0.dev0) (4.15.0)\n",
44
+ "Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub==1.0.0.rc5->transformers==5.0.0.dev0) (1.1.10)\n",
45
+ "Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests->transformers==5.0.0.dev0) (3.4.3)\n",
46
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests->transformers==5.0.0.dev0) (3.10)\n",
47
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests->transformers==5.0.0.dev0) (2.5.0)\n",
48
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests->transformers==5.0.0.dev0) (2025.10.5)\n",
49
+ "Requirement already satisfied: anyio in /usr/local/lib/python3.12/dist-packages (from httpx<1,>=0.23.0->huggingface-hub==1.0.0.rc5->transformers==5.0.0.dev0) (4.11.0)\n",
50
+ "Requirement already satisfied: httpcore==1.* in /usr/local/lib/python3.12/dist-packages (from httpx<1,>=0.23.0->huggingface-hub==1.0.0.rc5->transformers==5.0.0.dev0) (1.0.9)\n",
51
+ "Requirement already satisfied: h11>=0.16 in /usr/local/lib/python3.12/dist-packages (from httpcore==1.*->httpx<1,>=0.23.0->huggingface-hub==1.0.0.rc5->transformers==5.0.0.dev0) (0.16.0)\n",
52
+ "Requirement already satisfied: click>=8.0.0 in /usr/local/lib/python3.12/dist-packages (from typer-slim->huggingface-hub==1.0.0.rc5->transformers==5.0.0.dev0) (8.3.0)\n",
53
+ "Requirement already satisfied: sniffio>=1.1 in /usr/local/lib/python3.12/dist-packages (from anyio->httpx<1,>=0.23.0->huggingface-hub==1.0.0.rc5->transformers==5.0.0.dev0) (1.3.1)\n",
54
+ "Downloading huggingface_hub-1.0.0rc5-py3-none-any.whl (501 kB)\n",
55
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m502.0/502.0 kB\u001b[0m \u001b[31m15.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
56
+ "\u001b[?25hDownloading typer_slim-0.19.2-py3-none-any.whl (46 kB)\n",
57
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m46.8/46.8 kB\u001b[0m \u001b[31m279.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
58
+ "\u001b[?25hBuilding wheels for collected packages: transformers\n",
59
+ " Building wheel for transformers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
60
+ " Created wheel for transformers: filename=transformers-5.0.0.dev0-py3-none-any.whl size=11397394 sha256=0e8a28704e51bed6adc8be1d8a4e4583fcb1ee8f8124e73166561efab5390870\n",
61
+ " Stored in directory: /tmp/pip-ephem-wheel-cache-pn_y2usp/wheels/b8/01/a2/f8212b64885344329af73c462c0d3d7ea0edcf5c06817c6e01\n",
62
+ "Successfully built transformers\n",
63
+ "Installing collected packages: typer-slim, huggingface-hub, transformers\n",
64
+ " Attempting uninstall: huggingface-hub\n",
65
+ " Found existing installation: huggingface-hub 0.35.3\n",
66
+ " Uninstalling huggingface-hub-0.35.3:\n",
67
+ " Successfully uninstalled huggingface-hub-0.35.3\n",
68
+ " Attempting uninstall: transformers\n",
69
+ " Found existing installation: transformers 4.57.0\n",
70
+ " Uninstalling transformers-4.57.0:\n",
71
+ " Successfully uninstalled transformers-4.57.0\n",
72
+ "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
73
+ "sentence-transformers 5.1.1 requires transformers<5.0.0,>=4.41.0, but you have transformers 5.0.0.dev0 which is incompatible.\u001b[0m\u001b[31m\n",
74
+ "\u001b[0mSuccessfully installed huggingface-hub-1.0.0rc5 transformers-5.0.0.dev0 typer-slim-0.19.2\n"
75
+ ]
76
+ }
77
+ ],
78
+ "source": [
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+ "!pip install -U --no-cache-dir git+https://github.com/huggingface/transformers.git@nanochat-implementation"
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+ ]
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+ "model.safetensors: 0%| | 0.00/1.12G [00:00<?, ?B/s]"
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+ ]
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+ },
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+ "metadata": {},
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+ "output_type": "display_data"
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+ },
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+ {
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+ "data": {
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+ "text/plain": [
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+ "NanoGPTForCausalLM(\n",
225
+ " (model): NanoGPTModel(\n",
226
+ " (embed_tokens): Embedding(65536, 1280, padding_idx=65531)\n",
227
+ " (layers): ModuleList(\n",
228
+ " (0-19): 20 x NanoGPTDecoderLayer(\n",
229
+ " (self_attn): NanoGPTAttention(\n",
230
+ " (q_proj): Linear(in_features=1280, out_features=1280, bias=False)\n",
231
+ " (k_proj): Linear(in_features=1280, out_features=1280, bias=False)\n",
232
+ " (v_proj): Linear(in_features=1280, out_features=1280, bias=False)\n",
233
+ " (o_proj): Linear(in_features=1280, out_features=1280, bias=False)\n",
234
+ " )\n",
235
+ " (mlp): NanoGPTMLP(\n",
236
+ " (fc): Linear(in_features=1280, out_features=5120, bias=False)\n",
237
+ " (proj): Linear(in_features=5120, out_features=1280, bias=False)\n",
238
+ " )\n",
239
+ " )\n",
240
+ " )\n",
241
+ " )\n",
242
+ " (lm_head): Linear(in_features=1280, out_features=65536, bias=False)\n",
243
+ ")"
244
+ ]
245
+ },
246
+ "execution_count": 2,
247
+ "metadata": {},
248
+ "output_type": "execute_result"
249
+ }
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+ ],
251
+ "source": [
252
+ "import torch\n",
253
+ "from transformers import AutoModelForCausalLM, AutoTokenizer\n",
254
+ "\n",
255
+ "\n",
256
+ "model_id = \"nanochat-students/chat-d20\"\n",
257
+ "max_new_tokens = 64\n",
258
+ "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
259
+ "\n",
260
+ "tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=False)\n",
261
+ "model = AutoModelForCausalLM.from_pretrained(\n",
262
+ " model_id, trust_remote_code=False, dtype=torch.bfloat16\n",
263
+ ").to(device)\n",
264
+ "model.eval()\n"
265
+ ]
266
+ },
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+ {
268
+ "cell_type": "code",
269
+ "execution_count": null,
270
+ "metadata": {
271
+ "colab": {
272
+ "base_uri": "https://localhost:8080/",
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+ "height": 72
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+ },
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+ "id": "X2MwucDhJvd5",
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+ "outputId": "b8613f64-c820-4a83-fc32-161bd8302b1b"
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+ },
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+ "outputs": [
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+ {
280
+ "name": "stderr",
281
+ "output_type": "stream",
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+ "text": [
283
+ "The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.\n"
284
+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
290
+ "What is the capital of France?The capital of France is Paris.\n"
291
+ ]
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+ }
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+ ],
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+ "source": [
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+ "conversation = [\n",
296
+ " {\"role\": \"user\", \"content\": \"What is the capital of France?\"},\n",
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+ "]\n",
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+ "\n",
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+ "inputs = tokenizer.apply_chat_template(\n",
300
+ " conversation, add_generation_prompt=True, tokenize=True, return_tensors=\"pt\"\n",
301
+ ").to(device)\n",
302
+ "\n",
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+ "with torch.no_grad():\n",
304
+ " outputs = model.generate(\n",
305
+ " **inputs,\n",
306
+ " max_new_tokens=max_new_tokens,\n",
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+ " )\n",
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+ "\n",
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+ "# Decode only the generated tokens (excluding the input prompt)\n",
310
+ "generated_tokens = outputs[0, inputs.input_ids.shape[1] :]\n",
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+ "print(tokenizer.decode(generated_tokens, skip_special_tokens=True))"
312
+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": null,
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+ "metadata": {
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+ "id": "1yM9wrAEX-5W"
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+ },
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+ "outputs": [],
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+ "source": []
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+ }
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+ "accelerator": "GPU",
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+ "gpuType": "A100",
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