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13b-demo (#1)
Browse files- 13B demo (with workaround) (467a8083c34bf92b732b17487cc38c763f11581a)
- LICENSE.txt +126 -0
- README.md +5 -1
- USE_POLICY.md +50 -0
- app.py +252 -0
- model.py +63 -0
- requirements.txt +8 -0
- style.css +16 -0
LICENSE.txt
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1 |
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LLAMA 2 COMMUNITY LICENSE AGREEMENT
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Llama 2 Version Release Date: July 18, 2023
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README.md
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license: other
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---
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-
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license: other
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---
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# LLAMA v2 Models
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Llama v2 was introduced in [this paper](https://arxiv.org/abs/2307.09288).
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This Space demonstrates [Llama-2-13b-chat-hf](meta-llama/Llama-2-13b-chat-hf) from Meta. Please, check the original model card for details.
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USE_POLICY.md
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# Llama 2 Acceptable Use Policy
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2 |
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Meta is committed to promoting safe and fair use of its tools and features, including Llama 2. If you access or use Llama 2, you agree to this Acceptable Use Policy (“Policy”). The most recent copy of this policy can be found at [ai.meta.com/llama/use-policy](http://ai.meta.com/llama/use-policy).
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## Prohibited Uses
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We want everyone to use Llama 2 safely and responsibly. You agree you will not use, or allow others to use, Llama 2 to:
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1. Violate the law or others’ rights, including to:
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1. Engage in, promote, generate, contribute to, encourage, plan, incite, or further illegal or unlawful activity or content, such as:
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1. Violence or terrorism
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2. Exploitation or harm to children, including the solicitation, creation, acquisition, or dissemination of child exploitative content or failure to report Child Sexual Abuse Material
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3. Human trafficking, exploitation, and sexual violence
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4. The illegal distribution of information or materials to minors, including obscene materials, or failure to employ legally required age-gating in connection with such information or materials.
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5. Sexual solicitation
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6. Any other criminal activity
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2. Engage in, promote, incite, or facilitate the harassment, abuse, threatening, or bullying of individuals or groups of individuals
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3. Engage in, promote, incite, or facilitate discrimination or other unlawful or harmful conduct in the provision of employment, employment benefits, credit, housing, other economic benefits, or other essential goods and services
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4. Engage in the unauthorized or unlicensed practice of any profession including, but not limited to, financial, legal, medical/health, or related professional practices
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5. Collect, process, disclose, generate, or infer health, demographic, or other sensitive personal or private information about individuals without rights and consents required by applicable laws
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6. Engage in or facilitate any action or generate any content that infringes, misappropriates, or otherwise violates any third-party rights, including the outputs or results of any products or services using the Llama 2 Materials
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7. Create, generate, or facilitate the creation of malicious code, malware, computer viruses or do anything else that could disable, overburden, interfere with or impair the proper working, integrity, operation or appearance of a website or computer system
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2. Engage in, promote, incite, facilitate, or assist in the planning or development of activities that present a risk of death or bodily harm to individuals, including use of Llama 2 related to the following:
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1. Military, warfare, nuclear industries or applications, espionage, use for materials or activities that are subject to the International Traffic Arms Regulations (ITAR) maintained by the United States Department of State
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2. Guns and illegal weapons (including weapon development)
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3. Illegal drugs and regulated/controlled substances
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4. Operation of critical infrastructure, transportation technologies, or heavy machinery
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5. Self-harm or harm to others, including suicide, cutting, and eating disorders
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6. Any content intended to incite or promote violence, abuse, or any infliction of bodily harm to an individual
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3. Intentionally deceive or mislead others, including use of Llama 2 related to the following:
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1. Generating, promoting, or furthering fraud or the creation or promotion of disinformation
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2. Generating, promoting, or furthering defamatory content, including the creation of defamatory statements, images, or other content
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3. Generating, promoting, or further distributing spam
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4. Impersonating another individual without consent, authorization, or legal right
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5. Representing that the use of Llama 2 or outputs are human-generated
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6. Generating or facilitating false online engagement, including fake reviews and other means of fake online engagement
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4. Fail to appropriately disclose to end users any known dangers of your AI system
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Please report any violation of this Policy, software “bug,” or other problems that could lead to a violation of this Policy through one of the following means:
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* Reporting issues with the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)
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* Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)
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* Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)
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* Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama: [LlamaUseReport@meta.com](mailto:LlamaUseReport@meta.com)
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app.py
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from typing import Iterator
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import gradio as gr
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import torch
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from model import run
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DEFAULT_SYSTEM_PROMPT = """
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You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.
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"""
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MAX_MAX_NEW_TOKENS = 2048
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DEFAULT_MAX_NEW_TOKENS = 1024
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DESCRIPTION = """
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# Llama-2 13B Chat
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This Space demonstrates model [Llama-2-13b-chat](https://huggingface.co/meta-llama/Llama-2-13b-chat) by Meta, a Llama 2 model with 13B parameters fine-tuned for chat instructions. Feel free to play with it, or duplicate to run generations without a queue! If you want to run your own service, you can also [deploy the model on Inference Endpoints](https://huggingface.co/inference-endpoints).
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🔎 For more details about the Llama 2 family of models and how to use them with `transformers`, take a look [at our blog post](https://huggingface.co/blog/llama2).
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🔨 Looking for an even more powerful model? Check out the large [**70B** model demo](https://huggingface.co/spaces/ysharma/Explore_llamav2_with_TGI).
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22 |
+
🐇 For a smaller model that you can run on many GPUs, check our [7B model demo](https://huggingface.co/spaces/huggingface-projects/llama-2-7b-chat).
|
23 |
+
|
24 |
+
"""
|
25 |
+
|
26 |
+
LICENSE = """
|
27 |
+
<p/>
|
28 |
+
|
29 |
+
---
|
30 |
+
As a derivate work of [Llama-2-13b-chat](https://huggingface.co/meta-llama/Llama-2-13b-chat) by Meta,
|
31 |
+
this demo is governed by the original [license](LICENSE.txt) and [acceptable use policy](USE_POLICY.md).
|
32 |
+
"""
|
33 |
+
|
34 |
+
if not torch.cuda.is_available():
|
35 |
+
DESCRIPTION += '\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>'
|
36 |
+
|
37 |
+
def clear_and_save_textbox(message: str) -> tuple[str, str]:
|
38 |
+
return '', message
|
39 |
+
|
40 |
+
|
41 |
+
def display_input(message: str,
|
42 |
+
history: list[tuple[str, str]]) -> list[tuple[str, str]]:
|
43 |
+
history.append((message, ''))
|
44 |
+
return history
|
45 |
+
|
46 |
+
|
47 |
+
def delete_prev_fn(
|
48 |
+
history: list[tuple[str, str]]) -> tuple[list[tuple[str, str]], str]:
|
49 |
+
try:
|
50 |
+
message, _ = history.pop()
|
51 |
+
except IndexError:
|
52 |
+
message = ''
|
53 |
+
return history, message or ''
|
54 |
+
|
55 |
+
|
56 |
+
def generate(
|
57 |
+
message: str,
|
58 |
+
history_with_input: list[tuple[str, str]],
|
59 |
+
system_prompt: str,
|
60 |
+
max_new_tokens: int,
|
61 |
+
top_p: float,
|
62 |
+
temperature: float,
|
63 |
+
top_k: int,
|
64 |
+
) -> Iterator[list[tuple[str, str]]]:
|
65 |
+
if max_new_tokens > MAX_MAX_NEW_TOKENS:
|
66 |
+
raise ValueError
|
67 |
+
|
68 |
+
history = history_with_input[:-1]
|
69 |
+
generator = run(message, history, system_prompt, max_new_tokens,
|
70 |
+
temperature, top_p, top_k)
|
71 |
+
try:
|
72 |
+
first_response = next(generator)
|
73 |
+
yield history + [(message, first_response)]
|
74 |
+
except StopIteration:
|
75 |
+
yield history + [(message, '')]
|
76 |
+
for response in generator:
|
77 |
+
yield history + [(message, response)]
|
78 |
+
|
79 |
+
|
80 |
+
with gr.Blocks(css='style.css') as demo:
|
81 |
+
gr.Markdown(DESCRIPTION)
|
82 |
+
gr.DuplicateButton(value='Duplicate Space for private use',
|
83 |
+
elem_id='duplicate-button')
|
84 |
+
|
85 |
+
with gr.Group():
|
86 |
+
chatbot = gr.Chatbot(label='Chatbot')
|
87 |
+
with gr.Row():
|
88 |
+
textbox = gr.Textbox(
|
89 |
+
container=False,
|
90 |
+
show_label=False,
|
91 |
+
placeholder='Type a message...',
|
92 |
+
scale=10,
|
93 |
+
)
|
94 |
+
submit_button = gr.Button('Submit',
|
95 |
+
variant='primary',
|
96 |
+
scale=1,
|
97 |
+
min_width=0)
|
98 |
+
with gr.Row():
|
99 |
+
retry_button = gr.Button('🔄 Retry', variant='secondary')
|
100 |
+
undo_button = gr.Button('↩️ Undo', variant='secondary')
|
101 |
+
clear_button = gr.Button('🗑️ Clear', variant='secondary')
|
102 |
+
|
103 |
+
saved_input = gr.State()
|
104 |
+
|
105 |
+
with gr.Accordion(label='Advanced options', open=False):
|
106 |
+
system_prompt = gr.Textbox(label='System prompt',
|
107 |
+
value=DEFAULT_SYSTEM_PROMPT,
|
108 |
+
lines=6)
|
109 |
+
max_new_tokens = gr.Slider(
|
110 |
+
label='Max new tokens',
|
111 |
+
minimum=1,
|
112 |
+
maximum=MAX_MAX_NEW_TOKENS,
|
113 |
+
step=1,
|
114 |
+
value=DEFAULT_MAX_NEW_TOKENS,
|
115 |
+
)
|
116 |
+
temperature = gr.Slider(
|
117 |
+
label='Temperature',
|
118 |
+
minimum=0.1,
|
119 |
+
maximum=4.0,
|
120 |
+
step=0.1,
|
121 |
+
value=1.0,
|
122 |
+
)
|
123 |
+
top_p = gr.Slider(
|
124 |
+
label='Top-p (nucleus sampling)',
|
125 |
+
minimum=0.05,
|
126 |
+
maximum=1.0,
|
127 |
+
step=0.05,
|
128 |
+
value=0.95,
|
129 |
+
)
|
130 |
+
top_k = gr.Slider(
|
131 |
+
label='Top-k',
|
132 |
+
minimum=1,
|
133 |
+
maximum=1000,
|
134 |
+
step=1,
|
135 |
+
value=50,
|
136 |
+
)
|
137 |
+
|
138 |
+
gr.Examples(
|
139 |
+
examples = [
|
140 |
+
["Hello there! How are you doing?"],
|
141 |
+
["Can you explain to me briefly what is Python programming language?"],
|
142 |
+
["Explain the plot of Cinderella in a sentence."],
|
143 |
+
["How many hours does it take a man to eat a Helicopter?"],
|
144 |
+
["Write a 100-word article on 'Benefits of Open-Source in AI research'"]
|
145 |
+
],
|
146 |
+
inputs = textbox,
|
147 |
+
label = "Click on any example and press the 'Submit' button",
|
148 |
+
)
|
149 |
+
gr.Markdown(LICENSE)
|
150 |
+
|
151 |
+
textbox.submit(
|
152 |
+
fn=clear_and_save_textbox,
|
153 |
+
inputs=textbox,
|
154 |
+
outputs=[textbox, saved_input],
|
155 |
+
api_name=False,
|
156 |
+
queue=False,
|
157 |
+
).then(
|
158 |
+
fn=display_input,
|
159 |
+
inputs=[saved_input, chatbot],
|
160 |
+
outputs=chatbot,
|
161 |
+
api_name=False,
|
162 |
+
queue=False,
|
163 |
+
).then(
|
164 |
+
fn=generate,
|
165 |
+
inputs=[
|
166 |
+
saved_input,
|
167 |
+
chatbot,
|
168 |
+
system_prompt,
|
169 |
+
max_new_tokens,
|
170 |
+
temperature,
|
171 |
+
top_p,
|
172 |
+
top_k,
|
173 |
+
],
|
174 |
+
outputs=chatbot,
|
175 |
+
api_name=False,
|
176 |
+
)
|
177 |
+
|
178 |
+
button_event_preprocess = submit_button.click(
|
179 |
+
fn=clear_and_save_textbox,
|
180 |
+
inputs=textbox,
|
181 |
+
outputs=[textbox, saved_input],
|
182 |
+
api_name=False,
|
183 |
+
queue=False,
|
184 |
+
).then(
|
185 |
+
fn=display_input,
|
186 |
+
inputs=[saved_input, chatbot],
|
187 |
+
outputs=chatbot,
|
188 |
+
api_name=False,
|
189 |
+
queue=False,
|
190 |
+
).then(
|
191 |
+
fn=generate,
|
192 |
+
inputs=[
|
193 |
+
saved_input,
|
194 |
+
chatbot,
|
195 |
+
system_prompt,
|
196 |
+
max_new_tokens,
|
197 |
+
temperature,
|
198 |
+
top_p,
|
199 |
+
top_k,
|
200 |
+
],
|
201 |
+
outputs=chatbot,
|
202 |
+
api_name=False,
|
203 |
+
)
|
204 |
+
|
205 |
+
retry_button.click(
|
206 |
+
fn=delete_prev_fn,
|
207 |
+
inputs=chatbot,
|
208 |
+
outputs=[chatbot, saved_input],
|
209 |
+
api_name=False,
|
210 |
+
queue=False,
|
211 |
+
).then(
|
212 |
+
fn=display_input,
|
213 |
+
inputs=[saved_input, chatbot],
|
214 |
+
outputs=chatbot,
|
215 |
+
api_name=False,
|
216 |
+
queue=False,
|
217 |
+
).then(
|
218 |
+
fn=generate,
|
219 |
+
inputs=[
|
220 |
+
saved_input,
|
221 |
+
chatbot,
|
222 |
+
max_new_tokens,
|
223 |
+
temperature,
|
224 |
+
top_p,
|
225 |
+
top_k,
|
226 |
+
],
|
227 |
+
outputs=chatbot,
|
228 |
+
api_name=False,
|
229 |
+
)
|
230 |
+
|
231 |
+
undo_button.click(
|
232 |
+
fn=delete_prev_fn,
|
233 |
+
inputs=chatbot,
|
234 |
+
outputs=[chatbot, saved_input],
|
235 |
+
api_name=False,
|
236 |
+
queue=False,
|
237 |
+
).then(
|
238 |
+
fn=lambda x: x,
|
239 |
+
inputs=[saved_input],
|
240 |
+
outputs=textbox,
|
241 |
+
api_name=False,
|
242 |
+
queue=False,
|
243 |
+
)
|
244 |
+
|
245 |
+
clear_button.click(
|
246 |
+
fn=lambda: ([], ''),
|
247 |
+
outputs=[chatbot, saved_input],
|
248 |
+
queue=False,
|
249 |
+
api_name=False,
|
250 |
+
)
|
251 |
+
|
252 |
+
demo.queue(max_size=20).launch()
|
model.py
ADDED
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from threading import Thread
|
2 |
+
from typing import Iterator
|
3 |
+
|
4 |
+
import torch
|
5 |
+
from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
|
6 |
+
|
7 |
+
model_id = 'meta-llama/Llama-2-13b-chat-hf'
|
8 |
+
|
9 |
+
if torch.cuda.is_available():
|
10 |
+
config = AutoConfig.from_pretrained(model_id)
|
11 |
+
config.pretraining_tp = 1
|
12 |
+
model = AutoModelForCausalLM.from_pretrained(
|
13 |
+
model_id,
|
14 |
+
config=config,
|
15 |
+
torch_dtype=torch.float16,
|
16 |
+
load_in_4bit=True,
|
17 |
+
device_map='auto'
|
18 |
+
)
|
19 |
+
else:
|
20 |
+
model = None
|
21 |
+
tokenizer = AutoTokenizer.from_pretrained(model_id)
|
22 |
+
|
23 |
+
|
24 |
+
def get_prompt(message: str, chat_history: list[tuple[str, str]],
|
25 |
+
system_prompt: str) -> str:
|
26 |
+
texts = [f'[INST] <<SYS>>\n{system_prompt}\n<</SYS>>\n\n']
|
27 |
+
for user_input, response in chat_history:
|
28 |
+
texts.append(f'{user_input} [/INST] {response} [INST] ')
|
29 |
+
texts.append(f'{message.strip()} [/INST]')
|
30 |
+
return ''.join(texts)
|
31 |
+
|
32 |
+
|
33 |
+
def run(message: str,
|
34 |
+
chat_history: list[tuple[str, str]],
|
35 |
+
system_prompt: str,
|
36 |
+
max_new_tokens: int = 1024,
|
37 |
+
temperature: float = 0.8,
|
38 |
+
top_p: float = 0.95,
|
39 |
+
top_k: int = 50) -> Iterator[str]:
|
40 |
+
prompt = get_prompt(message, chat_history, system_prompt)
|
41 |
+
inputs = tokenizer([prompt], return_tensors='pt').to("cuda")
|
42 |
+
|
43 |
+
streamer = TextIteratorStreamer(tokenizer,
|
44 |
+
timeout=10.,
|
45 |
+
skip_prompt=True,
|
46 |
+
skip_special_tokens=True)
|
47 |
+
generate_kwargs = dict(
|
48 |
+
inputs,
|
49 |
+
streamer=streamer,
|
50 |
+
max_new_tokens=max_new_tokens,
|
51 |
+
do_sample=True,
|
52 |
+
top_p=top_p,
|
53 |
+
top_k=top_k,
|
54 |
+
temperature=temperature,
|
55 |
+
num_beams=1,
|
56 |
+
)
|
57 |
+
t = Thread(target=model.generate, kwargs=generate_kwargs)
|
58 |
+
t.start()
|
59 |
+
|
60 |
+
outputs = []
|
61 |
+
for text in streamer:
|
62 |
+
outputs.append(text)
|
63 |
+
yield ''.join(outputs)
|
requirements.txt
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
accelerate==0.21.0
|
2 |
+
bitsandbytes==0.40.2
|
3 |
+
gradio==3.37.0
|
4 |
+
protobuf==3.20.3
|
5 |
+
scipy==1.11.1
|
6 |
+
sentencepiece==0.1.99
|
7 |
+
torch==2.0.1
|
8 |
+
transformers==4.31.0
|
style.css
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
h1 {
|
2 |
+
text-align: center;
|
3 |
+
}
|
4 |
+
|
5 |
+
#duplicate-button {
|
6 |
+
margin: auto;
|
7 |
+
color: white;
|
8 |
+
background: #1565c0;
|
9 |
+
border-radius: 100vh;
|
10 |
+
}
|
11 |
+
|
12 |
+
#component-0 {
|
13 |
+
max-width: 900px;
|
14 |
+
margin: auto;
|
15 |
+
padding-top: 1.5rem;
|
16 |
+
}
|