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"text": [
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m40.9/40.9 kB\u001b[0m \u001b[31m1.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m10.8/10.8 MB\u001b[0m \u001b[31m95.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[?25h"
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]
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]
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"source": [
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"## Local Inference on GPU\n",
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"Model page: https://huggingface.co/HuggingFaceTB/SmolLM3-3B\n",
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"\n"
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],
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}
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"source": [
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"### Using pipeline"
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],
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}
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"source": [
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"# Use a pipeline as a high-level helper\n",
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"from transformers import pipeline\n",
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"from transformers import AutoTokenizer\n",
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"\n",
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"model_id = \"HuggingFaceTB/SmolLM3-3B\"\n",
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"\n",
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"tokenizer = AutoTokenizer.from_pretrained(model_id)\n",
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"\n",
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"pipe = pipeline(\"text-generation\", model=model_id, tokenizer=tokenizer)"
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],
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"metadata": {
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"height": 387,
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"referenced_widgets": [
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"916e5b2a5315478b93a3eeb58e6e39fb",
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]
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}
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||
},
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||
"execution_count": null,
|
||
"outputs": [
|
||
{
|
||
"output_type": "display_data",
|
||
"data": {
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||
"text/plain": [
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||
"tokenizer_config.json: 0.00B [00:00, ?B/s]"
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],
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"version_major": 2,
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"version_minor": 0,
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"model_id": "916e5b2a5315478b93a3eeb58e6e39fb"
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}
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},
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"metadata": {}
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},
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{
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"output_type": "display_data",
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"data": {
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"text/plain": [
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],
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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}
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"metadata": {}
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},
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{
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"output_type": "display_data",
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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}
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"metadata": {}
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},
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{
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"output_type": "display_data",
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"data": {
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"text/plain": [
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"chat_template.jinja: 0.00B [00:00, ?B/s]"
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],
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"output_type": "display_data",
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"data": {
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{
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"output_type": "display_data",
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"data": {
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"metadata": {}
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},
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{
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"output_type": "display_data",
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||
"data": {
|
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"text/plain": [
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"application/vnd.jupyter.widget-view+json": {
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"version_minor": 0,
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}
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"metadata": {}
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},
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{
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"output_type": "display_data",
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||
"data": {
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||
"text/plain": [
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||
"model-00001-of-00002.safetensors: 0%| | 0.00/4.97G [00:00<?, ?B/s]"
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],
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "9f3cc4ecff404f1fafb32ddc20ec0454"
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}
|
||
},
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||
"metadata": {}
|
||
},
|
||
{
|
||
"output_type": "display_data",
|
||
"data": {
|
||
"text/plain": [
|
||
"model-00002-of-00002.safetensors: 0%| | 0.00/1.18G [00:00<?, ?B/s]"
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],
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"version_major": 2,
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"version_minor": 0,
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"model_id": "68812c4bd6974fb8bd409a38e9ac8d6a"
|
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}
|
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},
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"metadata": {}
|
||
},
|
||
{
|
||
"output_type": "display_data",
|
||
"data": {
|
||
"text/plain": [
|
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"Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s]"
|
||
],
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"version_major": 2,
|
||
"version_minor": 0,
|
||
"model_id": "54018c5cec7a4352988e8ccb51609e2c"
|
||
}
|
||
},
|
||
"metadata": {}
|
||
},
|
||
{
|
||
"output_type": "display_data",
|
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"data": {
|
||
"text/plain": [
|
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|
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],
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"version_major": 2,
|
||
"version_minor": 0,
|
||
"model_id": "78abf107c7c547b5b8c43908385afd99"
|
||
}
|
||
},
|
||
"metadata": {}
|
||
},
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stderr",
|
||
"text": [
|
||
"Device set to use cuda:0\n"
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"source": [
|
||
"#### With Extended Thinking Mode Enabled\n",
|
||
"\n",
|
||
"No need to add anything special"
|
||
],
|
||
"metadata": {
|
||
"id": "pJymRIll-X0K"
|
||
}
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"messages = [\n",
|
||
" {\"role\": \"user\", \"content\": \"Give me a brief explanation of gravity in simple terms.\"},\n",
|
||
"]\n",
|
||
"pipe(messages)"
|
||
],
|
||
"metadata": {
|
||
"id": "hLmIVaX59jGi",
|
||
"outputId": "e6c0814a-4fa2-4dbe-887f-18ad86176b0f",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/"
|
||
}
|
||
},
|
||
"execution_count": null,
|
||
"outputs": [
|
||
{
|
||
"output_type": "execute_result",
|
||
"data": {
|
||
"text/plain": [
|
||
"[{'generated_text': [{'role': 'user',\n",
|
||
" 'content': 'Give me a brief explanation of gravity in simple terms.'},\n",
|
||
" {'role': 'assistant',\n",
|
||
" 'content': \"<think>\\nOkay, I need to explain gravity in simple terms. Let me start by recalling what I know. Gravity is the force that pulls objects towards each other. Like how the Earth pulls you down to the ground. But why does that happen? I remember Newton's law of universal gravitation. It says that every mass attracts every other mass with a force proportional to their masses and inversely proportional to the square of the distance between them. So, the bigger the objects, the stronger the gravitational pull. But how do I explain that without using complex math?\\n\\nMaybe start with the basic idea: gravity is a force that keeps things from floating away. For example, planets orbit the sun because of gravity. Without it, they'd just float off. But why do we feel it on Earth? Because the Earth's gravity is pulling us down. If there were no Earth, we'd float in space. But why doesn't the Earth just float away? Because it's massive, so its gravity is strong enough to hold us.\\n\\nWait, maybe mention that gravity is always attractive. Unlike electric charges, which can be attractive or repulsive. Gravity is only attractive. That's a key point. Also, the strength of gravity depends on mass and distance. The more massive the\"}]}]"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"execution_count": 3
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"source": [
|
||
"#### With Extended Thinking Mode Disabled\n",
|
||
"\n",
|
||
"We disabled it adding `/no_think` to the system prompt"
|
||
],
|
||
"metadata": {
|
||
"id": "yzZM_YO--uCZ"
|
||
}
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"messages = [\n",
|
||
" {\"role\": \"system\", \"content\": \"/no_think\"},\n",
|
||
" {\"role\": \"user\", \"content\": \"Give me a brief explanation of gravity in simple terms.\"},\n",
|
||
"]\n",
|
||
"pipe(messages)"
|
||
],
|
||
"metadata": {
|
||
"id": "L0NJWEeW9Wel",
|
||
"outputId": "9937daaf-b56e-4944-d211-dad32d131d1d",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/"
|
||
}
|
||
},
|
||
"execution_count": null,
|
||
"outputs": [
|
||
{
|
||
"output_type": "execute_result",
|
||
"data": {
|
||
"text/plain": [
|
||
"[{'generated_text': [{'role': 'system', 'content': '/no_think'},\n",
|
||
" {'role': 'user',\n",
|
||
" 'content': 'Give me a brief explanation of gravity in simple terms.'},\n",
|
||
" {'role': 'assistant',\n",
|
||
" 'content': \"Gravity is a force that pulls objects towards each other. Imagine you're holding a rubber ball. If you let go, the ball will fall towards the ground because of gravity. This force is what makes things stay on the ground, like you standing on the floor. It also keeps the moon orbiting around Earth, and the Earth orbiting around the sun. Gravity is always pulling things towards each other, but sometimes, like when the moon and Earth orbit each other, their speed keeps them moving in circles instead of falling towards each other.\"}]}]"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"execution_count": 4
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"source": [
|
||
"### Loading the model directly"
|
||
],
|
||
"metadata": {
|
||
"id": "fxu1LpyF-vTP"
|
||
}
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"from transformers import AutoModelForCausalLM, AutoTokenizer\n",
|
||
"\n",
|
||
"model_name = \"HuggingFaceTB/SmolLM3-3B\"\n",
|
||
"device = \"cuda\" # for GPU usage or \"cpu\" for CPU usage\n",
|
||
"\n",
|
||
"# load the tokenizer and the model\n",
|
||
"tokenizer = AutoTokenizer.from_pretrained(model_name)\n",
|
||
"model = AutoModelForCausalLM.from_pretrained(\n",
|
||
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|
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|
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|
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|
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|
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|
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|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"# prepare the model input\n",
|
||
"prompt = \"Give me a brief explanation of gravity in simple terms.\"\n",
|
||
"messages_think = [\n",
|
||
" {\"role\": \"user\", \"content\": prompt}\n",
|
||
"]\n",
|
||
"\n",
|
||
"text = tokenizer.apply_chat_template(\n",
|
||
" messages_think,\n",
|
||
" tokenize=False,\n",
|
||
" add_generation_prompt=True,\n",
|
||
")\n",
|
||
"model_inputs = tokenizer([text], return_tensors=\"pt\").to(model.device)\n",
|
||
"\n",
|
||
"# Generate the output\n",
|
||
"generated_ids = model.generate(**model_inputs, max_new_tokens=32768)\n",
|
||
"\n",
|
||
"# Get and decode the output\n",
|
||
"output_ids = generated_ids[0][len(model_inputs.input_ids[0]) :]\n",
|
||
"print(tokenizer.decode(output_ids, skip_special_tokens=True))"
|
||
],
|
||
"metadata": {
|
||
"id": "5SOwxnre3AHx",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/"
|
||
},
|
||
"outputId": "29703fc2-ee2a-49e4-bd1d-43379158c27e"
|
||
},
|
||
"execution_count": 2,
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stdout",
|
||
"text": [
|
||
"<think>\n",
|
||
"Okay, so I need to explain gravity in simple terms. Let me start by recalling what I know about gravity. Gravity is the force that pulls things towards each other. I remember that it's what keeps us on the ground and makes things fall when we drop them. But how exactly does it work?\n",
|
||
"\n",
|
||
"Hmm, Newton's law of universal gravitation comes to mind. He said that every mass attracts every other mass. The force depends on the masses of the objects and the distance between them. The formula is F = G*(m1*m2)/r². But I need to simplify this for someone who might not know calculus or physics terms.\n",
|
||
"\n",
|
||
"Wait, maybe I should start with a basic analogy. Like, imagine two balls. If you have a heavy ball and a light ball, they attract each other. The heavier the balls, the stronger the pull. The closer they are, the stronger the pull. The farther apart, the weaker. That makes sense.\n",
|
||
"\n",
|
||
"But how do I explain it without using math? Maybe talk about everyday examples. Like, why do we stay on the ground? Because the Earth's gravity pulls us towards it. If there was no gravity, we'd float off into space. But why don't we get pulled into the Earth's core? Because the Earth is so big, the force is balanced by the ground pushing up on us.\n",
|
||
"\n",
|
||
"Oh, and astronauts in space experience microgravity because there's no air resistance, but they're still under Earth's gravity. So gravity is always there, but if you're in free fall, you don't feel it. Like how when you're in an elevator that's in free fall, you feel weightless.\n",
|
||
"\n",
|
||
"Also, gravity affects the Moon's orbit around Earth. The Moon is constantly falling towards Earth, but it has enough sideways speed to keep missing it. So gravity is what keeps the Moon in orbit. Similarly, the Earth orbits the Sun because of the Sun's gravity.\n",
|
||
"\n",
|
||
"I should mention that gravity is a force, but it's also a result of spacetime curvature according to Einstein's theory of general relativity. But maybe that's too advanced for a simple explanation. The user might not know about Einstein's theory, so I should focus on Newton's explanation first.\n",
|
||
"\n",
|
||
"Let me structure this: start with the basic idea of gravity as a force between masses, use everyday examples, explain why we stay on the ground, how it affects orbits, and maybe touch on why we don't fall into the Earth. Keep it conversational and avoid jargon. Make sure to emphasize that it's not just a force but a fundamental aspect of the universe that shapes everything around us.\n",
|
||
"</think>\n",
|
||
"\n",
|
||
"Gravity is the force that pulls objects toward each other. Here's a simple breakdown:\n",
|
||
"\n",
|
||
"1. **Every Mass Attracts Every Other Mass**: Gravity is like a \"pull\" between two objects, no matter how big or small they are. The Earth pulls you down, and you pull the Earth up, but the Earth is so massive that its pull on you is much stronger.\n",
|
||
"\n",
|
||
"2. **Stronger with More Mass**: The heavier the object, the stronger the pull. A mountain is pulled down by gravity just as much as a pebble.\n",
|
||
"\n",
|
||
"3. **Closer Matters**: If two objects are closer, gravity acts faster. That's why you feel pulled down harder when you're standing on the ground than when you're standing on a mountain (even though the mountain is higher, you're farther from Earth's center).\n",
|
||
"\n",
|
||
"4. **Why We Stay on the Ground**: Gravity holds you to Earth. If there were no gravity, you'd float off into space. But Earth's surface pushes up on you, balancing the pull.\n",
|
||
"\n",
|
||
"5. **Orbits and Free Fall**: Gravity keeps the Moon orbiting Earth and Earth orbiting the Sun. When you jump, you're in free fall—falling toward Earth, but you don't hit the ground because Earth is also moving toward you. Astronauts in space feel weightless because they're in free fall around Earth.\n",
|
||
"\n",
|
||
"6. **It's Everywhere**: Gravity is always there, even in space. But in space, you don't feel it because you're in free fall. Einstein's theory (general relativity) says gravity isn't a force but the bending of spacetime, but for everyday purposes, think of it as a pull.\n",
|
||
"\n",
|
||
"In short, gravity is what keeps everything connected in the universe—our feet on the ground, the Moon in orbit, and stars in galaxies.\n"
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"source": [
|
||
"#### Enabling and Disabling Extended Thinking Mode\n",
|
||
"\n",
|
||
"We disabled it adding `/no_think` to the system prompt. By default, it's active."
|
||
],
|
||
"metadata": {
|
||
"id": "Q2WIgjZz---3"
|
||
}
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"prompt = \"Give me a brief explanation of gravity in simple terms.\"\n",
|
||
"messages = [\n",
|
||
" {\"role\": \"system\", \"content\": \"/no_think\"},\n",
|
||
" {\"role\": \"user\", \"content\": prompt}\n",
|
||
"]\n",
|
||
"\n",
|
||
"text = tokenizer.apply_chat_template(\n",
|
||
" messages,\n",
|
||
" tokenize=False,\n",
|
||
" add_generation_prompt=True,\n",
|
||
")\n",
|
||
"\n",
|
||
"model_inputs = tokenizer([text], return_tensors=\"pt\").to(model.device)\n",
|
||
"\n",
|
||
"# Generate the output\n",
|
||
"generated_ids = model.generate(**model_inputs, max_new_tokens=32768)\n",
|
||
"\n",
|
||
"# Get and decode the output\n",
|
||
"output_ids = generated_ids[0][len(model_inputs.input_ids[0]) :]\n",
|
||
"print(tokenizer.decode(output_ids, skip_special_tokens=True))"
|
||
],
|
||
"metadata": {
|
||
"id": "as_ze0BO_HuP",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/"
|
||
},
|
||
"outputId": "35144016-9237-41fe-eba7-915df5d220fb"
|
||
},
|
||
"execution_count": 3,
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stdout",
|
||
"text": [
|
||
"Gravity is a force that pulls objects towards each other. Imagine you're holding a ball, and you let go of it. The ball starts to fall towards the ground because of gravity. This force is always pulling objects towards each other, no matter how far apart they are. It's what keeps the moon orbiting around the Earth, the Earth orbiting around the Sun, and keeps us grounded on the ground. Gravity is what makes things \"stick\" to the ground and keeps everything in place. It's a very weak force, but it's incredibly strong when you consider the vast distances between objects in space.\n"
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"source": [
|
||
"#### Agentic Usage\n",
|
||
"\n",
|
||
"SmolLM3 supports tool calling. Pass a list of tools under the argument `xml_tools` (for standard tool-calling), or `python_tools` (for calling tools like python functions in a `<code>` snippet)."
|
||
],
|
||
"metadata": {
|
||
"id": "omKKT7G3_PZA"
|
||
}
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"tools = [\n",
|
||
" {\n",
|
||
" \"name\": \"get_weather\",\n",
|
||
" \"description\": \"Get the weather in a city\",\n",
|
||
" \"parameters\": {\"type\": \"object\", \"properties\": {\"city\": {\"type\": \"string\", \"description\": \"The city to get the weather for\"}}}}\n",
|
||
"]\n",
|
||
"\n",
|
||
"messages = [\n",
|
||
" {\n",
|
||
" \"role\": \"user\",\n",
|
||
" \"content\": \"Hello! How is the weather today in Copenhagen?\"\n",
|
||
" }\n",
|
||
"]\n",
|
||
"\n",
|
||
"inputs = tokenizer.apply_chat_template(\n",
|
||
" messages,\n",
|
||
" enable_thinking=False, # True works as well, your choice!\n",
|
||
" xml_tools=tools,\n",
|
||
" add_generation_prompt=True,\n",
|
||
" tokenize=True,\n",
|
||
" return_tensors=\"pt\"\n",
|
||
").to(model.device)\n",
|
||
"\n",
|
||
"outputs = model.generate(inputs)\n",
|
||
"print(tokenizer.decode(outputs[0]))"
|
||
],
|
||
"metadata": {
|
||
"id": "DP0gagny_RMh",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/"
|
||
},
|
||
"outputId": "da67f501-bce0-4f57-ac53-dce1e497f36f"
|
||
},
|
||
"execution_count": 9,
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stdout",
|
||
"text": [
|
||
"<|im_start|>system\n",
|
||
"## Metadata\n",
|
||
"\n",
|
||
"Knowledge Cutoff Date: June 2025\n",
|
||
"Today Date: 09 July 2025\n",
|
||
"Reasoning Mode: /no_think\n",
|
||
"\n",
|
||
"## Custom Instructions\n",
|
||
"\n",
|
||
"You are a helpful AI assistant named SmolLM, trained by Hugging Face.\n",
|
||
"\n",
|
||
"### Tools\n",
|
||
"\n",
|
||
"You may call one or more functions to assist with the user query.\n",
|
||
"You are provided with function signatures within <tools></tools> XML tags:\n",
|
||
"\n",
|
||
"<tools>\n",
|
||
"{'name': 'get_weather', 'description': 'Get the weather in a city', 'parameters': {'type': 'object', 'properties': {'city': {'type':'string', 'description': 'The city to get the weather for'}}}}\n",
|
||
"</tools>\n",
|
||
"\n",
|
||
"For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n",
|
||
"<tool_call>\n",
|
||
"{\"name\": <function-name>, \"arguments\": <args-json-object>}\n",
|
||
"</tool_call>\n",
|
||
"\n",
|
||
"<|im_end|>\n",
|
||
"<|im_start|>user\n",
|
||
"Hello! How is the weather today in Copenhagen?<|im_end|>\n",
|
||
"<|im_start|>assistant\n",
|
||
"<think>\n",
|
||
"\n",
|
||
"</think>\n",
|
||
"<tool_call>\n",
|
||
"{\"name\": \"get_weather\", \"arguments\": {\"city\": \"Copenhagen\"}}\n",
|
||
"</tool_call>\n"
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"source": [
|
||
"## Remote Inference via Inference Providers\n",
|
||
"Ensure you have a valid **HF_TOKEN** set in your environment, running this may bill your account above the free tier.\n",
|
||
"The following Python example shows how to run the model remotely on HF Inference Providers, using the **auto** provider setting (automatically selects an available inference provider)."
|
||
],
|
||
"metadata": {
|
||
"id": "J1JaXMSD3AHx"
|
||
}
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"import os\n",
|
||
"from huggingface_hub import InferenceClient\n",
|
||
"\n",
|
||
"client = InferenceClient(\n",
|
||
" provider=\"auto\",\n",
|
||
" api_key=os.environ[\"HF_TOKEN\"],\n",
|
||
")\n",
|
||
"\n",
|
||
"completion = client.chat.completions.create(\n",
|
||
" model=\"HuggingFaceTB/SmolLM3-3B\",\n",
|
||
" messages=[\n",
|
||
" {\n",
|
||
" \"role\": \"user\",\n",
|
||
" \"content\": \"What is the capital of France?\"\n",
|
||
" }\n",
|
||
" ],\n",
|
||
")\n",
|
||
"\n",
|
||
"print(completion.choices[0].message)"
|
||
],
|
||
"metadata": {
|
||
"id": "9z13KW6U3AHx",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/"
|
||
},
|
||
"outputId": "b847028e-76dc-40c9-81ee-72493d89aced"
|
||
},
|
||
"execution_count": 13,
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stdout",
|
||
"text": [
|
||
"ChatCompletionOutputMessage(role='assistant', content=\"<think>\\nOkay, so the user is asking for the capital of France. Let me start by recalling what I know. I think the capital is Paris. But wait, maybe I should double-check to be sure. Sometimes people might confuse it with other cities like Lyon or Marseille, but those are major cities in France, not the capital. \\n\\nI remember that Paris is known for the Eiffel Tower and the Louvre Museum. Also, it's the heart of French culture and fashion. The government is based there, right? The President of France lives in the Élysée Palace, which is in Paris. \\n\\nWait, could there be any other city that's considered the capital? Maybe in the past? I don't think so. The capital has been Paris since the city became the capital of the Kingdom of France in the 12th century, and it's been the capital ever since. \\n\\nI should also consider if there's any recent change. For example, sometimes cities like Lyon or Marseille might have been proposed as capitals, but I don't recall any official change. The current capital is definitely Paris. \\n\\nJust to be thorough, I can think of some historical facts. The French Revolution started in Paris, and that's where the revolutionaries declared the end of the monarchy. The city has been a cultural and political center for centuries. \\n\\nSo, putting it all together, the capital of France is Paris. I'm pretty confident about this, but I'll make sure there's no ambiguity. No, there's no doubt. The answer is Paris.\\n</think>\\n\\nThe capital of France is **Paris**. It is a city renowned for its cultural, historical, and architectural significance, as well as its status as a global hub for fashion, art, and finance. Paris is home to iconic landmarks like the Eiffel Tower, the Louvre Museum, and the Seine River, and it serves as the political and administrative center of the country.\", tool_call_id=None, tool_calls=[], reasoning_content=None)\n"
|
||
]
|
||
}
|
||
]
|
||
}
|
||
]
|
||
} |