LLM-FineTuning-Large-Language-Models
/
Local-Inferencing_LlaMa-2.ipynb
1590 строк · 55.2 Кб
1{
2"cells": [
3{
4"cell_type": "markdown",
5"metadata": {},
6"source": [
7"### Checkout my [Twitter(@rohanpaul_ai)](https://twitter.com/rohanpaul_ai) for daily LLM bits"
8]
9},
10{
11"cell_type": "code",
12"execution_count": null,
13"metadata": {
14"id": "PH68I6NAedUb"
15},
16"outputs": [],
17"source": [
18"!pip install -qU transformers"
19]
20},
21{
22"cell_type": "markdown",
23"metadata": {},
24"source": [
25"The Pipeline mainly defines the following:\n",
26"\n",
27"- The specific LLM, in this case it will be 'meta-llama/Llama-2-7b-hf'\n",
28"- The respective tokenizer for the model\n",
29"- access_token for your HuggingFace"
30]
31},
32{
33"cell_type": "code",
34"execution_count": null,
35"metadata": {
36"id": "r_Od3Bc1e6vJ"
37},
38"outputs": [],
39"source": [
40"from torch import cuda\n",
41"import transformers"
42]
43},
44{
45"cell_type": "code",
46"execution_count": null,
47"metadata": {},
48"outputs": [],
49"source": [
50"model_id = 'meta-llama/Llama-2-7b-hf'"
51]
52},
53{
54"cell_type": "code",
55"execution_count": null,
56"metadata": {},
57"outputs": [],
58"source": [
59"cuda.is_available()"
60]
61},
62{
63"cell_type": "code",
64"execution_count": null,
65"metadata": {},
66"outputs": [],
67"source": [
68"device = f'cuda:{cuda.current_device()}' if cuda.is_available() else 'cpu'\n",
69"device"
70]
71},
72{
73"cell_type": "code",
74"execution_count": null,
75"metadata": {},
76"outputs": [],
77"source": [
78"from huggingface_hub import login\n",
79"\n",
80"access_token_read = \"Your HuggingFace API\"\n",
81"\n",
82"login(token = access_token_read)\n",
83"\n",
84"# Alternative way to login to HuggingFace\n",
85"#!huggingface-cli login"
86]
87},
88{
89"cell_type": "code",
90"execution_count": null,
91"metadata": {
92"colab": {
93"base_uri": "https://localhost:8080/"
94},
95"id": "k6o_USpcfugf",
96"outputId": "f99f6729-59eb-4f70-9cec-46b02cbef048"
97},
98"outputs": [],
99"source": [
100"tokenizer = transformers.AutoTokenizer.from_pretrained(\n",
101" model_id\n",
102")"
103]
104},
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162"outputs": [],
163"source": [
164"generate_text = transformers.pipeline(\n",
165" model='meta-llama/Llama-2-7b-hf',\n",
166" tokenizer=tokenizer,\n",
167" task='text-generation',\n",
168" temperature=0.0, # 'randomness' of outputs, 0.0 is the min and 1.0 the max\n",
169" max_new_tokens=512, # mex number of tokens to generate in the output\n",
170" repetition_penalty=1.1 # without this output begins repeating\n",
171")"
172]
173},
174{
175"cell_type": "code",
176"execution_count": null,
177"metadata": {},
178"outputs": [],
179"source": [
180"res = generate_text(\"Explain to me the difference between nuclear fission and fusion.\")\n",
181"\n",
182"print(res[0][\"generated_text\"])"
183]
184},
185{
186"cell_type": "markdown",
187"metadata": {},
188"source": [
189"\"\\nNuclear fission is a process in which an atomic nucleus splits into two or more smaller nuclei, releasing a large amount of energy in the process. This occurs when an atom's nucleus is bombarded with a high-energy particle, such as a neutron. Fission is the process used in nuclear power plants to generate electricity.\\nNuclear fusion, on the other hand, is the process by which two or more atomic nuclei combine to form a single, heavier nucleus."
190]
191}
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