Skip to content

Commit 8d4c6c1

Browse files
nabinchhanabinchha
authored
chore: Update nvidia text default model alias to nano v3 (#133)
1 parent 3065179 commit 8d4c6c1

13 files changed

+137
-139
lines changed

‎docs/colab_notebooks/1-the-basics.ipynb‎

Lines changed: 32 additions & 32 deletions
Original file line numberDiff line numberDiff line change
@@ -2,7 +2,7 @@
22
"cells": [
33
{
44
"cell_type": "markdown",
5-
"id": "709c75cf",
5+
"id": "9f804f90",
66
"metadata": {},
77
"source": [
88
"# 🎨 Data Designer Tutorial: The Basics\n",
@@ -14,7 +14,7 @@
1414
},
1515
{
1616
"cell_type": "markdown",
17-
"id": "3cb2774e",
17+
"id": "9cb786eb",
1818
"metadata": {},
1919
"source": [
2020
"### ⚡ Colab Setup\n",
@@ -25,7 +25,7 @@
2525
{
2626
"cell_type": "code",
2727
"execution_count": null,
28-
"id": "b886272b",
28+
"id": "7f45ea56",
2929
"metadata": {},
3030
"outputs": [],
3131
"source": [
@@ -36,7 +36,7 @@
3636
{
3737
"cell_type": "code",
3838
"execution_count": null,
39-
"id": "f5cf20f9",
39+
"id": "ea86e81e",
4040
"metadata": {},
4141
"outputs": [],
4242
"source": [
@@ -53,7 +53,7 @@
5353
},
5454
{
5555
"cell_type": "markdown",
56-
"id": "e11a4288",
56+
"id": "16611c7b",
5757
"metadata": {},
5858
"source": [
5959
"### 📦 Import the essentials\n",
@@ -64,7 +64,7 @@
6464
{
6565
"cell_type": "code",
6666
"execution_count": null,
67-
"id": "e8faecea",
67+
"id": "875342bb",
6868
"metadata": {},
6969
"outputs": [],
7070
"source": [
@@ -85,7 +85,7 @@
8585
},
8686
{
8787
"cell_type": "markdown",
88-
"id": "314d17c1",
88+
"id": "b58ac676",
8989
"metadata": {},
9090
"source": [
9191
"### ⚙️ Initialize the Data Designer interface\n",
@@ -98,7 +98,7 @@
9898
{
9999
"cell_type": "code",
100100
"execution_count": null,
101-
"id": "be3b5c6f",
101+
"id": "3ce805ad",
102102
"metadata": {},
103103
"outputs": [],
104104
"source": [
@@ -107,7 +107,7 @@
107107
},
108108
{
109109
"cell_type": "markdown",
110-
"id": "1c2852e1",
110+
"id": "50e961ed",
111111
"metadata": {},
112112
"source": [
113113
"### 🎛️ Define model configurations\n",
@@ -124,15 +124,15 @@
124124
{
125125
"cell_type": "code",
126126
"execution_count": null,
127-
"id": "5ad52a10",
127+
"id": "1b07a6a5",
128128
"metadata": {},
129129
"outputs": [],
130130
"source": [
131131
"# This name is set in the model provider configuration.\n",
132132
"MODEL_PROVIDER = \"nvidia\"\n",
133133
"\n",
134134
"# The model ID is from build.nvidia.com.\n",
135-
"MODEL_ID = \"nvidia/nvidia-nemotron-nano-9b-v2\"\n",
135+
"MODEL_ID = \"nvidia/nemotron-3-nano-30b-a3b\"\n",
136136
"\n",
137137
"# We choose this alias to be descriptive for our use case.\n",
138138
"MODEL_ALIAS = \"nemotron-nano-v2\"\n",
@@ -156,7 +156,7 @@
156156
},
157157
{
158158
"cell_type": "markdown",
159-
"id": "25cce9f7",
159+
"id": "6d873251",
160160
"metadata": {},
161161
"source": [
162162
"### 🏗️ Initialize the Data Designer Config Builder\n",
@@ -171,7 +171,7 @@
171171
{
172172
"cell_type": "code",
173173
"execution_count": null,
174-
"id": "8ff7190c",
174+
"id": "d45fac13",
175175
"metadata": {},
176176
"outputs": [],
177177
"source": [
@@ -180,7 +180,7 @@
180180
},
181181
{
182182
"cell_type": "markdown",
183-
"id": "6bc3b23e",
183+
"id": "c35b0274",
184184
"metadata": {},
185185
"source": [
186186
"## 🎲 Getting started with sampler columns\n",
@@ -197,7 +197,7 @@
197197
{
198198
"cell_type": "code",
199199
"execution_count": null,
200-
"id": "4cff01cb",
200+
"id": "14cb9967",
201201
"metadata": {},
202202
"outputs": [],
203203
"source": [
@@ -206,7 +206,7 @@
206206
},
207207
{
208208
"cell_type": "markdown",
209-
"id": "f981ec58",
209+
"id": "40945aea",
210210
"metadata": {},
211211
"source": [
212212
"Let's start designing our product review dataset by adding product category and subcategory columns.\n"
@@ -215,7 +215,7 @@
215215
{
216216
"cell_type": "code",
217217
"execution_count": null,
218-
"id": "70ba24a6",
218+
"id": "a7d87e00",
219219
"metadata": {},
220220
"outputs": [],
221221
"source": [
@@ -296,7 +296,7 @@
296296
},
297297
{
298298
"cell_type": "markdown",
299-
"id": "6f1a6c59",
299+
"id": "48699878",
300300
"metadata": {},
301301
"source": [
302302
"Next, let's add samplers to generate data related to the customer and their review.\n"
@@ -305,7 +305,7 @@
305305
{
306306
"cell_type": "code",
307307
"execution_count": null,
308-
"id": "d45b925f",
308+
"id": "df84faf3",
309309
"metadata": {},
310310
"outputs": [],
311311
"source": [
@@ -342,7 +342,7 @@
342342
},
343343
{
344344
"cell_type": "markdown",
345-
"id": "bf49c2b1",
345+
"id": "8288352d",
346346
"metadata": {},
347347
"source": [
348348
"## 🦜 LLM-generated columns\n",
@@ -357,7 +357,7 @@
357357
{
358358
"cell_type": "code",
359359
"execution_count": null,
360-
"id": "669fe324",
360+
"id": "157919b4",
361361
"metadata": {},
362362
"outputs": [],
363363
"source": [
@@ -394,7 +394,7 @@
394394
},
395395
{
396396
"cell_type": "markdown",
397-
"id": "4d93ad9a",
397+
"id": "009646e4",
398398
"metadata": {},
399399
"source": [
400400
"### 🔁 Iteration is key – preview the dataset!\n",
@@ -411,7 +411,7 @@
411411
{
412412
"cell_type": "code",
413413
"execution_count": null,
414-
"id": "7b2466d1",
414+
"id": "a9c90236",
415415
"metadata": {},
416416
"outputs": [],
417417
"source": [
@@ -421,7 +421,7 @@
421421
{
422422
"cell_type": "code",
423423
"execution_count": null,
424-
"id": "508a2866",
424+
"id": "3cfe180e",
425425
"metadata": {},
426426
"outputs": [],
427427
"source": [
@@ -432,7 +432,7 @@
432432
{
433433
"cell_type": "code",
434434
"execution_count": null,
435-
"id": "6fbdaf64",
435+
"id": "65b2f595",
436436
"metadata": {},
437437
"outputs": [],
438438
"source": [
@@ -442,7 +442,7 @@
442442
},
443443
{
444444
"cell_type": "markdown",
445-
"id": "154e8e71",
445+
"id": "2134fa0f",
446446
"metadata": {},
447447
"source": [
448448
"### 📊 Analyze the generated data\n",
@@ -455,7 +455,7 @@
455455
{
456456
"cell_type": "code",
457457
"execution_count": null,
458-
"id": "7e031c7b",
458+
"id": "8a37dd61",
459459
"metadata": {},
460460
"outputs": [],
461461
"source": [
@@ -465,7 +465,7 @@
465465
},
466466
{
467467
"cell_type": "markdown",
468-
"id": "a60a1fab",
468+
"id": "b715bc3a",
469469
"metadata": {},
470470
"source": [
471471
"### 🆙 Scale up!\n",
@@ -478,7 +478,7 @@
478478
{
479479
"cell_type": "code",
480480
"execution_count": null,
481-
"id": "e07c6718",
481+
"id": "565f03a1",
482482
"metadata": {},
483483
"outputs": [],
484484
"source": [
@@ -488,7 +488,7 @@
488488
{
489489
"cell_type": "code",
490490
"execution_count": null,
491-
"id": "7a5406da",
491+
"id": "9d4c91ad",
492492
"metadata": {},
493493
"outputs": [],
494494
"source": [
@@ -501,7 +501,7 @@
501501
{
502502
"cell_type": "code",
503503
"execution_count": null,
504-
"id": "f0360b0e",
504+
"id": "93c5a082",
505505
"metadata": {},
506506
"outputs": [],
507507
"source": [
@@ -513,7 +513,7 @@
513513
},
514514
{
515515
"cell_type": "markdown",
516-
"id": "d365dda0",
516+
"id": "13f7c942",
517517
"metadata": {},
518518
"source": [
519519
"## ⏭️ Next Steps\n",

0 commit comments

Comments
 (0)