-
Notifications
You must be signed in to change notification settings - Fork 5
/
Copy pathrequirements-gpu.txt
220 lines (220 loc) · 4.01 KB
/
requirements-gpu.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
# This file was autogenerated by uv via the following command:
# uv pip compile requirements.in -o requirements-gpu.txt
accelerate==1.1.1
# via
# -r requirements.in
# peft
aiohappyeyeballs==2.4.3
# via aiohttp
aiohttp==3.11.4
# via
# datasets
# fsspec
aiosignal==1.3.1
# via aiohttp
attrs==24.2.0
# via
# aiohttp
# jsonschema
# referencing
bitsandbytes==0.44.1
# via -r requirements.in
certifi==2022.12.7
# via requests
charset-normalizer==2.1.1
# via requests
datasets==2.19.1
# via -r requirements.in
dill==0.3.8
# via
# datasets
# multiprocess
filelock==3.13.1
# via
# datasets
# huggingface-hub
# torch
# transformers
# triton
frozenlist==1.5.0
# via
# aiohttp
# aiosignal
fsspec==2024.2.0
# via
# datasets
# huggingface-hub
# torch
huggingface-hub==0.26.2
# via
# accelerate
# datasets
# peft
# tokenizers
# transformers
idna==3.4
# via
# requests
# yarl
jinja2==3.1.3
# via torch
jsonschema==4.23.0
# via valohai-yaml
jsonschema-specifications==2024.10.1
# via jsonschema
leval==1.3.0
# via valohai-yaml
markupsafe==2.1.5
# via jinja2
mpmath==1.3.0
# via sympy
multidict==6.1.0
# via
# aiohttp
# yarl
multiprocess==0.70.16
# via datasets
networkx==3.2.1
# via torch
numpy==1.26.3
# via
# accelerate
# bitsandbytes
# datasets
# pandas
# peft
# transformers
nvidia-cublas-cu12==12.4.5.8
# via
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# torch
nvidia-cuda-cupti-cu12==12.4.127
# via torch
nvidia-cuda-nvrtc-cu12==12.4.127
# via torch
nvidia-cuda-runtime-cu12==12.4.127
# via torch
nvidia-cudnn-cu12==9.1.0.70
# via torch
nvidia-cufft-cu12==11.2.1.3
# via torch
nvidia-curand-cu12==10.3.5.147
# via torch
nvidia-cusolver-cu12==11.6.1.9
# via torch
nvidia-cusparse-cu12==12.3.1.170
# via
# nvidia-cusolver-cu12
# torch
nvidia-nccl-cu12==2.21.5
# via torch
nvidia-nvjitlink-cu12==12.4.127
# via
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
# torch
nvidia-nvtx-cu12==12.4.127
# via torch
packaging==24.1
# via
# accelerate
# datasets
# huggingface-hub
# peft
# transformers
pandas==2.2.3
# via datasets
peft==0.13.2
# via -r requirements.in
propcache==0.2.0
# via
# aiohttp
# yarl
psutil==6.1.0
# via
# accelerate
# peft
pyarrow==18.0.0
# via datasets
pyarrow-hotfix==0.6
# via datasets
python-dateutil==2.9.0.post0
# via pandas
pytz==2024.2
# via pandas
pyyaml==6.0.2
# via
# accelerate
# datasets
# huggingface-hub
# peft
# transformers
# valohai-yaml
referencing==0.35.1
# via
# jsonschema
# jsonschema-specifications
regex==2024.11.6
# via transformers
requests==2.28.1
# via
# datasets
# huggingface-hub
# transformers
# valohai-utils
rpds-py==0.21.0
# via
# jsonschema
# referencing
safetensors==0.4.5
# via
# accelerate
# peft
# transformers
sentencepiece==0.2.0
# via -r requirements.in
six==1.16.0
# via python-dateutil
sympy==1.13.1
# via torch
tokenizers==0.20.3
# via transformers
torch==2.5.1
# via
# -r requirements.in
# accelerate
# bitsandbytes
# peft
tqdm==4.66.5
# via
# datasets
# huggingface-hub
# peft
# transformers
transformers==4.46.3
# via
# -r requirements.in
# peft
triton==3.1.0
# via torch
typing-extensions==4.9.0
# via
# huggingface-hub
# torch
tzdata==2024.2
# via pandas
urllib3==1.26.13
# via requests
valohai-papi==0.1.3
# via valohai-utils
valohai-utils==0.5.0
# via -r requirements.in
valohai-yaml==0.43.0
# via
# valohai-papi
# valohai-utils
xxhash==3.5.0
# via datasets
yarl==1.17.2
# via aiohttp