-
Notifications
You must be signed in to change notification settings - Fork 0
/
bash_history.txt
1107 lines (1105 loc) · 42.6 KB
/
bash_history.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
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
df -h
lsb_release -a
hostnamectl
cat /etc/os-release
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && bash Miniconda3-latest-Linux-x86_64.sh
uname -a
wget https://repo.anaconda.com/archive/Anaconda3-2022.05-Linux-aarch64.sh
bash Anaconda3-2022.05-Linux-aarch64.sh
source ~/.bashrc
conda
conda list
source ~/.bash_profile
conda
/home/username/anaconda3/bin/conda list
nano ~/.bashrc
conda
df -h
source ~/.bashrc
conda
nano ~/.bashrc
conda
source ~/.bashrc
conda
conda create --name zhongjinggpt python==3.9
conda create -n zhongjinggpt python==3.9
conda create -n zhongjinggpt python=3.9
conda activate zhongjinggpt
conda init
lscpu | grep "Model name"
lscpu | grep
lscpu | grep "Model name"
lscpu
uname -a
lsb_release -a
cat /etc/os-release
hostnamectl
conda activate zhongjinggpt
nvidia-smi
cd Baichuan2
python "/root/Baichuan2/setup.py"
conda activate chatglm
sudo dpkg -i cmake-data_3.10.2-1ubuntu2.18.04.2_all.deb
conda activate zhongjinggpt
git clone https://github.com/baichuan-inc/Baichuan2.git
unzip "/root/Baichuan2.zip"
apt install unzip
unzip "/root/Baichuan2.zip"
cd Baichuan2
pip install -r requirements.txt
conda install pytorch==2.0.0 torchvision==0.15.0 torchaudio==2.0.0 cpuonly -c pytorch
pip install torch==2.0.0
conda install pytorch==2.0.0 torchvision==0.15.0 torchaudio==2.0.0 cpuonly -c pytorch
pip install -r requirements.txt
requirements.txt
sudo apt-get update
sudo apt-get install gcc python3-dev
sudo apt-get update
sudo apt-get install gcc python3-dev
sudo apt-get update --fix-missing
wget http://us.ports.ubuntu.com/ubuntu-ports/pool/main/i/isl/libisl19_0.19-1_arm64.deb
sudo dpkg -i libisl19_0.19-1_arm64.deb
sudo dpkg -i libmpc3_1.1.0-1_arm64.deb
# ... repeat for all uploaded packages
sudo apt-get update
sudo apt-get install gcc python3-dev
sudo dpkg -i *.deb
sudo apt-get install gcc python3-dev
sudo apt --fix-broken install
sudo apt-get install gcc python3-dev
pip install -r requirements.txt
sudo apt-get install g++
pip install xformers
python
pip install transformers==4.33.3
python
pip install modelscope
python setup.py
pip install sentencepiece
python setup.py
pip install accelerate
python setup.py
python
cd ..
git clone --recursive https://github.com/li-plus/chatglm.cpp.git && cd chatglm.cpp
unzip "/root/chatglm.cpp-main.zip"
cd "/root/chatglm.cpp/"
git submodule update --init --recursive
git status
git submodule update --init --recursive
pwd
git init
git submodule update --init --recursive
git status
python3 -m pip install -U pip
conda create -n chatglm python=3.9
conda activate chatglm
python3 -m pip install -U pip
python3 -m pip install torch tabulate tqdm transformers accelerate sentencepiece
python3 chatglm_cpp/convert.py -i THUDM/chatglm-6b -t q4_0 -o chatglm-ggml.bin
pip install modelscope
git lfs install
git clone https://www.modelscope.cn/ZhipuAI/chatglm3-6b-32k.git
sudo apt-get install git-lfs
sudo dpkg -i git-lfs_.deb
sudo dpkg -i git-lfs_2.3.4-1_arm64.deb
git lfs version
git lfs install
git clone https://www.modelscope.cn/ZhipuAI/chatglm3-6b-32k.git
python down.py
nano down.py
python down.py
python3 chatglm_cpp/convert.py -i "/root/.cache/modelscope/hub/ZhipuAI/chatglm3-6b-32k/" -t q4_0 -o chatglm-ggml.bin
cmake -B build
sudo apt install cmake
sudo apt install snapd
sudo dpkg -i cmake-data_3.10.2-1ubuntu2.18.04.1_all.deb
sudo dpkg -i libjsoncpp1_1.7.4-3_arm64.deb
sudo dpkg -i librhash0_1.3.6-2_arm64.deb
sudo dpkg -i cmake_3.10.2-1ubuntu2.18.04.1_arm64.deb
sudo dpkg -i make_4.1-9.1ubuntu1_arm64.deb
cmake --version
snap install cmake
apt install cmake
sudo dpkg -i cmake-data_3.10.2-1ubuntu2.18.04.2_all.deb
conda activate chatglm
sudo dpkg -i cmake_3.10.2-1ubuntu2.18.04.2_arm64.deb
cd llama.cpp
python
conda activate chatglm
cd chatglm.cpp
sudo dpkg -i cmake-data_3.10.2-1ubuntu2.18.04.2_all.deb
sudo dpkg -i cmake_3.10.2-1ubuntu2.18.04.2_arm64.deb
cmake --version
sudo dpkg -i libarchive13_package_name.deb
sudo dpkg -i libarchive13_3.4.0-2ubuntu1_arm64.deb
cmake --version
sudo dpkg -i libnettle7_package_name.deb
sudo dpkg -i libnettle7_3.5.1+really3.5.1-2_amd64.deb
sudo dpkg -i libnettle7_3.5.1+really3.5.1-2_arm64.deb
cmake --version
cmake -B build
cmake --build build -j --config Release
python3 chatglm_cpp/convert.py -i /root/.cache/modelscope/hub/ZhipuAI/chatglm3-6b-32k -t q4_0 -o chatglm-ggml.bin
cmake -B build
cmake --build build -j --config Release
mkdir /root/chatglm.cpp/build
cmake -B build
./build/bin/main -m chatglm-ggml.bin -p 你好
find / -name "chatglm-ggml.bin"
./build/bin/main -m /root/chatglm.cpp/chatglm-ggml.bin -p 你好
./build/bin/main -h
find . -name main
git submodule update --init --recursive
cmake -B build
cmake --build build -j --config Release
cmake --build build --config Release -- -j 4
cmake version
sudo apt-get install cmake
sudo apt-get update
sudo apt-get install -y software-properties-common lsb-release
sudo apt-get update
sudo apt-get install cmake
sudo apt install build-essential checkinstall zlib1g-dev libssl-dev -y
wget https://github.com/Kitware/CMake/releases/download/v3.28.1/cmake-3.28.1-linux-aarch64.sh
chmod +x cmake-3.28.1-linux-aarch64.sh
./cmake-3.28.1-linux-aarch64.sh --prefix=/opt/cmake --skip-license
/opt/cmake/bin/cmake --version
cd ..
sudo mkdir -p /opt/cmake
sudo chmod 755 /opt/cmake
sudo ./cmake-3.28.1-linux-aarch64.sh --prefix=/opt/cmake --skip-license
./cmake-3.28.1-linux-aarch64.sh --prefix=/opt/cmake --skip-license
./root/chatglm.cpp/cmake-3.28.1-linux-aarch64.sh --prefix=/opt/cmake --skip-license
/root/chatglm.cpp/cmake-3.28.1-linux-aarch64.sh --prefix=/opt/cmake --skip-license
ls -ld /opt/cmake
/opt/cmake/bin/cmake --version
cd root
cd /root
cmake -B build
cmake --build build -j --config Release
gcc --version
g++ --version
conda activate baichuan2
conda activate baichuan
conda activate chatglm
df-h
df -h
cd llama.cpp
cd chatglm.cpp
cmake -B build
conda create -n chat python=3.10
conda activate chat
git clone https://github.com/AGIUI/Local-LLM.git
mv /root/chatglm.cpp/Local-LLM/* /root/
cd ..
git clone https://github.com/AGIUI/Local-LLM.git
unzip "/root/Local-LLM-main.zip"
cd "/root/Local-LLM/"
./api-mac.sh
su - newuser
adduser newuser
su - Paris
kyl520
su - 1
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp
make
mkdir build
cd build
cmake ..
sudo apt-get update
sudo apt-get install --only-upgrade cmake
sudo mkdir /opt/cmake
cd ..
tar -zxvf cmake-3.28.2-linux-aarch64.tar.gz
cd cmake-3.28.2
sudo find / -type d -name "cmake-3.28.2" 2>/dev/null
sudo find / -type d -name "cmake" 2>/dev/null
cd /root
ls -ld cmake-3.28.2-linux-aarch64
cd /root/cmake-3.28.2-linux-aarch64
./bootstrap
make
sudo make install
cmake --version
export PATH=/root/cmake-3.28.2-linux-aarch64/bin:$PATH
cmake --version
conda activate zhongjinggpt
cd ..
cd /root/chatglm.cpp/
cmake --version
cmake -B build
ls /root/chatglm.cpp/third_party/ggml
ls /root/chatglm.cpp/third_party/sentencepiece
git submodule update --init --recursive
cd /root/chatglm.cpp/third_party/
unzip "/root/chatglm.cpp/third_party/ggml-6549d12f2e3176050040a86334f17c001e170f13.zip"
unzip "/root/chatglm.cpp/third_party/sentencepiece-635fe8423a249b6e081aacd290d8aef7476c6a28.zip"
unzip "/root/chatglm.cpp/third_party/pybind11-8b03ffa7c06cd9c8a38297b1c8923695d1ff1b07.zip"
cmake -B build
cd ..
cmake -B build
cmake --build build -j --config Release
./build/bin/main -m chatglm-ggml.bin -p 你好
./build/bin/main -m chatglm-ggml.bin -i
python3 cli_demo.py -m ../chatglm-ggml.bin -i
cd examples
python3 cli_demo.py -m ../chatglm-ggml.bin -i
pip install -U chatglm-cpp
python3 cli_demo.py -m ../chatglm-ggml.bin -i
python3 web_demo.py -m ../chatglm-ggml.bin
pip install gradio
python3 web_demo.py -m ../chatglm-ggml.bin
sudo apt-get install golang-go
cd deb
sudo dpkg -i *.deb
sudo apt-get -f install
sudo dpkg --configure -a
cd ..
git clone https://github.com/huggingface/frp
cd frp
make frpc
go version
ke frpc
sudo snap install --classic go
make frpc
go version
/snap/bin/go version
echo $PATH
go version
whereis go
cp /usr/bin/go /root/go-old/
sudo rm /usr/bin/go
go version
sudo ln -s /snap/bin/go /usr/bin/go
go version
make frpc
which Go modules
sudo find / -type d -name "Go modules" 2>/dev/null
echo $(go env GOPATH)/pkg/mod
make frpc
ls -R /root/go/pkg/mod/
make frpc
sudo nano /etc/environment
curl -I http://google.com
make frpc
curl ifconfig.me
curl icanhazip.com
echo $http_proxy
echo $https_proxy
source ~/.bashrc
curl -I http://google.com
curl --proxy http://178.128.113.118:23128 http://ifconfig.me
curl --proxy http://202.144.157.1:9009 http://ifconfig.me
curl --proxy http://67.43.227.226:25639 http://ifconfig.me
curl --proxy http://72.10.160.172:15991 http://ifconfig.me
curl --proxy http://114.129.2.82:8081 http://ifconfig.me
curl --proxy http://72.10.160.170:5385 http://ifconfig.me
curl --proxy http://67.43.228.254:32221 http://ifconfig.me
curl --proxy http://72.10.160.91:18031 http://ifconfig.me
curl --proxy http://72.10.160.92:26077 http://ifconfig.me
curl --proxy http://20.235.104.105:3729 http://ifconfig.me
curl --proxy http://167.172.238.15:10004 http://ifconfig.me
curl --proxy http://200.174.198.95:8888 http://ifconfig.me
curl --proxy http://20.204.214.79:3129 http://ifconfig.me
curl --proxy http://116.106.3.228:1020 http://ifconfig.me
curl --proxy http://20.204.190.254:3129 http://ifconfig.me
curl --proxy http://20.219.235.172:3129 http://ifconfig.me
curl --proxy http://159.65.186.46:10002 http://ifconfig.me
curl --proxy http://68.183.48.146:10006 http://ifconfig.me
curl --proxy http://117.1.252.143:9002 http://ifconfig.me
curl --proxy http://20.219.183.188:3129 http://ifconfig.me
curl --proxy http://20.219.176.57:3129 http://ifconfig.me
curl --proxy http://20.219.177.85:3129 http://ifconfig.me
curl --proxy http://72.10.160.90:29129 http://ifconfig.me
curl --proxy http://20.44.189.184:3129 http://ifconfig.me
curl --proxy http://67.43.228.252:1499 http://ifconfig.me
curl --proxy http://20.219.177.38:3129 http://ifconfig.me
curl --proxy https://43.157.53.107:443 http://ifconfig.me
sudo nano /etc/environment
nano ~/.bashrc
source ~/.bashrc
curl icanhazip.com
curl -I http://google.com
sudo nano /etc/environment
source ~/.bashrc
curl -I http://google.com
curl icanhazip.com
curl ifconfig.me
curl --proxy https://43.157.53.107:443 http://ifconfig.me
curl --proxy http://114.129.2.82:8081 http://ifconfig.me
cd frp
mkdir -p vendor
cp -r /root/go/pkg/mod/github.com/ /root/frp/vendor/
cp -r /root/go/pkg/mod/golang.org/ /root/frp/vendor/
cp -r /root/go/pkg/mod/gopkg.in/ /root/frp/vendor/
go build -mod=vendor -o bin/frpc ./cmd/frpc
go mod vendor
curl icanhazip.com
conda activate chatglm
cd frp
conda activate zhongjinggpt
make frpc
curl -I http://google.com
curl -I http://github.com
export http_proxy="http://114.129.2.82:8081"
export https_proxy="http://114.129.2.82:8081"
make frpc
export GOPROXY=direct
make frpc
sudo nano /etc/environment
curl icanhazip.com
make frpc
conda activate tzhong'jing'g'p'y
conda activate zhongjinggpt
cd chatglm.cpp
./build/bin/main -m chatglm-ggml.bin -i
conda activate chatglm
cd chatglm.cpp
python3 chatglm_cpp/convert.py -i "/root/.cache/modelscope/hub/baichuan-inc/Baichuan2-13B-Chat/" -t q4_0 -o baichuan13b-ggml.bin
conda activate zhongjinggpt
python3 chatglm_cpp/convert.py -i "/root/.cache/modelscope/hub/baichuan-inc/Baichuan2-13B-Chat/" -t q4_0 -o baichuan13b-ggml.bin
pip install tabulate
python3 chatglm_cpp/convert.py -i "/root/.cache/modelscope/hub/baichuan-inc/Baichuan2-13B-Chat/" -t q4_0 -o baichuan13b-ggml.bin
conda activate chatglm
pip install xformers
python3 chatglm_cpp/convert.py -i "/root/.cache/modelscope/hub/baichuan-inc/Baichuan2-7B-Chat/" -t q4_0 -o baichuan13b-ggml.bin
conda activate zhongjinggpt
python "/root/chatglm.cpp/qw.py"
pip install tiktoken
python "/root/chatglm.cpp/qw.py"
conda activate zhongjinggpt
pip install https://gradio-builds.s3.amazonaws.com/42296158685205bb735159f7a3747b8f5535a035/gradio-3.50.2-py3-none-any.whl
pip install "gradio-client @ git+https://github.com/gradio-app/gradio@42296158685205bb735159f7a3747b8f5535a035#subdirectory=client/python"
curl icanhazip.com
cd frp
make frpc
go mod vendor
make frpc
make frpc -mod=readonly
go mod vendor
cd ..
conda activate chatglm
cd chatglm.cpp
cd examples
python3 cli_demo.py -m ../chatglm-ggml.bin -i
conda activate zhongjinggpt
python3 cli_demo.py -m ../chatglm-ggml.bin -i
./build/bin/main -m chatglm-ggml.bin -i
cd ..
./build/bin/main -m chatglm-ggml.bin -i
make frpc
cd ..
cd frp
make frpc
cd ..
cd llama.cpp
make
cd build
cmake ..
zig build -Doptimize=ReleaseFast -Dtarget=x86_64-windows-gnu -Dcpu=x86_64+avx2+fma+f16c
conda info
sudo apt-get update
sudo apt-get install --only-upgrade cmake
top
export PATH=/root/cmake-3.28.2-linux-aarch64/bin:$PATH
cmake ..
cmake --build . --config Release
sudo apt-get install ccache
sudo dpkg -i "/root/ccache_3.4.1-1_arm64.deb"
cmake ..
cmake --build . --config Release
conda activate zhongjinggpt
cd chatglm.cpp
python3 chatglm_cpp/convert.py -i "/root/.cache/modelscope/hub/baichuan-inc/Baichuan2-7B-Chat/" -t q4_0 -o baichuan7b-ggml.bin
python3 chatglm_cpp/convert.py -i "/root/.cache/modelscope/hub/baichuan-inc/Baichuan2-7B-Chat/" -t q4_1 -o baichuan7b-ggml.bin
python hf_download.py --model baichuan-inc/Baichuan2-7B-Chat-4bits --save_dir /root/.cache/modelscope/hub/
`
gjmfgv,k
vkuymhfkilgk,jhjk,l,.
vbikluk,fkuyfiuk
@
$#%$^%587
python3 chatglm_cpp/convert.py -i "/root/.cache/modelscope/hub/Qwen/Qwen-1_8B-Chat/" -t q4_0 -o qwen1-ggml.bin
cd ..
git clone --recursive https://github.com/QwenLM/qwen.cpp && cd qwen.cpp
python3 qwen_cpp/convert.py -i /root/.cache/modelscope/hub/Qwen/Qwen-1_8B-Chat/ -t q4_0 -o qwen1b-ggml.bin
cmake -B build
cmake version
cmake info
cmake --version
export PATH=/root/cmake-3.28.2-linux-aarch64/bin:$PATH
cmake --version
cmake -B build
cmake --build build -j --config Release
./build/bin/main -m qwen7b-ggml.bin --tiktoken Qwen-1B-Chat/qwen.tiktoken -p 我发热。咳嗽，咽痛，给出中医诊断和处方
./build/bin/main -m qwen1b-ggml.bin --tiktoken Qwen-1B-Chat/qwen.tiktoken -p 我发热。咳嗽，咽痛，给出中医诊断和处方
./build/bin/main -m qwen1b-ggml.bin --tiktoken Qwen-7B-Chat/qwen.tiktoken -p 我发热。咳嗽，咽痛，给出中医诊断和处方
./build/bin/main -m qwen1b-ggml.bin --tiktoken /root/.cache/modelscope/hub/Qwen/Qwen-1_8B-Chat/qwen.tiktoken -p 我发热。咳嗽，咽痛，给出中医诊断和处方
pip install -U qwen-cpp
# install from the latest source hosted on GitHub
pip install git+https://github.com/QwenLM/qwen.cpp.git@master
# or install from your local source after git cloning the repo
conda activate zhongjinggpt
cd chatglm.cpp
python bc134int.py
python hf_download.py --model baichuan-inc/Baichuan2-13B-Chat-4bits --save_dir /root/.cache/modelscope/hub/
conda activate zhongjinggpt
cd chatglm.cpp
python qw.py
pip install transformers_stream_generator
python qw.py
pip install -U huggingface_hub
echo $http_proxy
echo $https_proxy
echo $ftp_proxy
echo $socks_proxy
echo $no_proxy
gsettings list-recursively org.gnome.system.proxy
apt install libglib2.0-bin
gsettings list-recursively org.gnome.system.proxy
cat /etc/environment
cat /etc/apt/apt.conf.d/* | grep Proxy
mkdir -p /root/.cache/modelscope/hub/baichuan-inc/Baichuan2-7B-Chat-4bits/
mv /root/.cache/modelscope/hub/models--baichuan-inc--Baichuan2-7B-Chat-4bits/* /root/.cache/modelscope/hub/baichuan-inc/Baichuan2-7B-Chat-4bits/
python3 chatglm_cpp/convert.py -i "/root/.cache/modelscope/hub/baichuan-inc/Baichuan2-7B-Chat-4bits/" -t q4_0 -o baichuan7b-ggml.bin
pip install bitsandbytes
python3 chatglm_cpp/convert.py -i "/root/.cache/modelscope/hub/baichuan-inc/Baichuan2-7B-Chat-4bits/" -t q4_0 -o baichuan7b-ggml.bin
pip install streamlit jupyter_client ipython ipykernel
ipython kernel install --name chatglm3-demo --user
streamlit run chatglm3_demo.py
cd /root/chatglm.cpp/examples/
streamlit run chatglm3_demo.py
sudo ufw allow 8501
streamlit run chatglm3_demo.py --server.address 0.0.0.0
df -h
free -h
iscpu
lscpu
conda activate zhongjinggpt
cd chatglm.cpp
sudo dmidecode -t processor
cat /proc/cpuinfo
python3 chatglm_cpp/convert.py -i "/root/.cache/modelscope/hub/baichuan-inc/Baichuan2-7B-Chat/" -t q4_0 -o baichuan7b-ggml.bin
python3 chatglm_cpp/convert.py -i "/root/.cache/modelscope/hub/baichuan-inc/Baichuan2-13B-Chat/" -t q4_0 -o baichuan13b-ggml.bin
./build/bin/main -m baichuan13b-ggml.bin -i
cd ..
cd qwen.cpp
./build/bin/main -m qwen1b-ggml.bin --tiktoken "/root/.cache/modelscope/hub/Qwen/Qwen-1_8B-Chat/qwen.tiktoken" -i
df -h
./build/bin/main -m qwen1b-ggml.bin --tiktoken "/root/.cache/modelscope/hub/Qwen/Qwen-1_8B-Chat/qwen.tiktoken" -i
python3 qwen_cpp/convert.py -i "/root/.cache/modelscope/hub/qwen/Qwen-7B-Chat/" -t q4_0 -o qwen7b-ggml.bin
cd ..
cd chatglm.cpp
cd examples
python3 cli_demo.py -m ../chatglm-ggml.bin -i
streamlit run chatglm3_demo.py
ipython kernel install --name chatglm3-demo --user
python3 cli_demo.py -m ../chatglm-ggml.bin -i
python3 web_demo.py -m ../chatglm-ggml.bin
streamlit run chatglm3_demo.py --server.address 0.0.0.0
streamlit run chatglm3_demo.py --server.address 0.0.0.0 --server.port 8502
streamlit run chatglm3_demo.py --server.address 0.0.0.0 --server.port 8504
pip uninstall gradio
pip install https://gradio-builds.s3.amazonaws.com/42296158685205bb735159f7a3747b8f5535a035/gradio-3.50.2-py3-none-any.whl
pip install "gradio-client @ git+https://github.com/gradio-app/gradio@42296158685205bb735159f7a3747b8f5535a035#subdirectory=client/python"
ping github.com
pip install "gradio-client @ git+https://github.com/gradio-app/gradio@42296158685205bb735159f7a3747b8f5535a035#subdirectory=client/python"
export GIT_HTTP_LOW_SPEED_LIMIT=2000
export GIT_HTTP_LOW_SPEED_TIME=800
pip install "gradio-client @ git+https://github.com/gradio-app/gradio@42296158685205bb735159f7a3747b8f5535a035#subdirectory=client/python"
pip install https://gradio-builds.s3.amazonaws.com/42296158685205bb735159f7a3747b8f5535a035/gradio-3.50.2-py3-none-any.whl
python3 web_demo.py -m ../chatglm-ggml.bin
cd ..
cd frp
make frpc
make frpc -mod=readonly
go mod vendor
export GIT_HTTP_LOW_SPEED_LIMIT=3000
export GIT_HTTP_LOW_SPEED_TIME=1000
go mod vendor
export GIT_HTTP_LOW_SPEED_LIMIT=100000
export GIT_HTTP_LOW_SPEED_TIME=30000
go mod vendor
pip uninstall gradio -y
pip install gradio
cd..
cd ..
cd chatglm.cpp/examples
python3 web_demo.py -m ../chatglm-ggml.bin
pip install "gradio-client @ git+https://github.com/gradio-app/gradio@42296158685205bb735159f7a3747b8f5535a035#subdirectory=client/python"
pip install https://gradio-builds.s3.amazonaws.com/42296158685205bb735159f7a3747b8f5535a035/gradio-3.50.2-py3-none-any.whl
gradio environment
pip install tomlkit==0.12.0
pip install authlib itsdangerous
gradio environment
top
conda acctivate zhongjinggpt
conda activate zhongjinggpt
cd chatglm.cpp
python "/root/chatglm.cpp/qw.py"
pip uninstall bmtrain
python bc134int.py
ip addr show
ifconfig
hostname -I
sudo ufw allow 8504
gradio environment
pip install "gradio-client @ git+https://github.com/gradio-app/gradio@42296158685205bb735159f7a3747b8f5535a035#subdirectory=client/python"
gradio environment
sudo ufw allow 8502
conda activate zhongjinggpt
cd chatglm.cp
cd chatglm.cpp
python bc134int.py
ulimit -u
free -m
ulimit -n
ulimit -n 4096
python bc134int.py
cd ..
cd chatglm.cpp
cd examples
./build/bin/main -m chatglm-ggml.bin -i
cd ..
./build/bin/main -m chatglm-ggml.bin -i
cd ..
unzip "/root/Baichuan2.zip"
cd Baichaun2
cd Baichuan2
python cli_demo.py
cd
cd Baichaun2
cd Baichuan2
cd fine-tune
hostfile=""
deepspeed --hostfile=$hostfile fine-tune.py --report_to "none" --data_path "data/belle_chat_ramdon_10k.json" --model_name_or_path "/root/.cache/modelscope/hub/baichuan-inc/Baichuan2-13B-Chat/" --output_dir "output" --model_max_length 512 --num_train_epochs 4 --per_device_train_batch_size 16 --gradient_accumulation_steps 1 --save_strategy epoch --learning_rate 2e-5 --lr_scheduler_type constant --adam_beta1 0.9 --adam_beta2 0.98 --adam_epsilon 1e-8 --max_grad_norm 1.0 --weight_decay 1e-4 --warmup_ratio 0.0 --logging_steps 1 --gradient_checkpointing True --deepspeed ds_config.json --bf16 True --tf32 True
pip install deepspeed
deepspeed --hostfile=$hostfile fine-tune.py > --report_to "none" > --data_path "data/belle_chat_ramdon_10k.json" > --model_name_or_path "/root/.cache/modelscope/hub/baichuan-inc/Baichuan2-13B-Chat/" > --output_dir "output" > --model_max_length 512 > --num_train_epochs 4 > --per_device_train_batch_size 16 > --gradient_accumulation_steps 1 > --save_strategy epoch > --learning_rate 2e-5 > --lr_scheduler_type constant > --adam_beta1 0.9 > --adam_beta2 0.98 > --adam_epsilon 1e-8 > --max_grad_norm 1.0 > --weight_decay 1e-4 > --warmup_ratio 0.0 > --logging_steps 1 > --gradient_checkpointing True > --deepspeed ds_config.json > --bf16 True > --tf32 True
deepspeed --hostfile=$hostfile fine-tune.py --report_to "none" --data_path "data/belle_chat_ramdon_10k.json" --model_name_or_path "/root/.cache/modelscope/hub/baichuan-inc/Baichuan2-13B-Chat/" --output_dir "output" --model_max_length 512 --num_train_epochs 4 --per_device_train_batch_size 16 --gradient_accumulation_steps 1 --save_strategy epoch --learning_rate 2e-5 --lr_scheduler_type constant --adam_beta1 0.9 --adam_beta2 0.98 --adam_epsilon 1e-8 --max_grad_norm 1.0 --weight_decay 1e-4 --warmup_ratio 0.0 --logging_steps 1 --gradient_checkpointing True --deepspeed ds_config.json
deepspeed --hostfile=$hostfile fine-tune.py > --report_to "none" > --data_path "data/belle_chat_ramdon_10k.json" > --model_name_or_path "/root/.cache/modelscope/hub/baichuan-inc/Baichuan2-13B-Chat/" > --output_dir "output" > --model_max_length 512 > --num_train_epochs 4 > --per_device_train_batch_size 16 > --gradient_accumulation_steps 1 > --save_strategy epoch > --learning_rate 2e-5 > --lr_scheduler_type constant > --adam_beta1 0.9 > --adam_beta2 0.98 > --adam_epsilon 1e-8 > --max_grad_norm 1.0 > --weight_decay 1e-4 > --warmup_ratio 0.0 > --logging_steps 1 > --gradient_checkpointing True > --deepspeed ds_config_cpu.json > --use_lora True
deepspeed --hostfile=$hostfile fine-tune.py > > --report_to "none" \
> > --data_path "data/belle_chat_ramdon_10k.json" \
> > --model_name_or_path "/root/.cache/modelscope/hub/baichuan-inc/Baichuan2-13B-Chat/" \
> > --output_dir "output" \
> > --model_max_length 512 \
> > --num_train_epochs 4 \
> > --per_device_train_batch_size 16 \
> > --gradient_accumulation_steps 1 \
> > --save_strategy epoch \
> > --learning_rate 2e-5 \
> > --lr_scheduler_type constant \
> > --adam_beta1 0.9 \
> > --adam_beta2 0.98 \
> > --adam_epsilon 1e-8 \
> > --max_grad_norm 1.0 \
> > --weight_decay 1e-4 \
> > --warmup_ratio 0.0 \
> > --logging_steps 1 \
> > --gradient_checkpointing True \
> > --deepspeed ds_config_cpu.jsondeepspeed --hostfile=$hostfile fine-tune.py \
> --report_to "none" > --data_path "data/belle_chat_ramdon_10k.json" > --model_name_or_path "/root/.cache/modelscope/hub/baichuan-inc/Baichuan2-13B-Chat/" > --output_dir "output" > --model_max_length 512 > --num_train_epochs 4 > --per_device_train_batch_size 16 > --gradient_accumulation_steps 1 > --save_strategy epoch > --learning_rate 2e-5 > --lr_scheduler_type constant > --adam_beta1 0.9 > --adam_beta2 0.98 > --adam_epsilon 1e-8 > --max_grad_norm 1.0 > --weight_decay 1e-4 > --warmup_ratio 0.0 > --logging_steps 1 > --gradient_checkpointing True > --deepspeed ds_config_cpu.json
deepspeed --hostfile=$hostfile fine-tune.py > > --report_to "none" \
> > --data_path "data/belle_chat_ramdon_10k.json" \
> > --model_name_or_path "/root/.cache/modelscope/hub/baichuan-inc/Baichuan2-13B-Chat/" \
> > --output_dir "output" \
> > --model_max_length 512 \
> > --num_train_epochs 4 \
> > --per_device_train_batch_size 16 \
> > --gradient_accumulation_steps 1 \
> > --save_strategy epoch \
> > --learning_rate 2e-5 \
> > --lr_scheduler_type constant \
> > --adam_beta1 0.9 \
> > --adam_beta2 0.98 \
> > --adam_epsilon 1e-8 \
> > --max_grad_norm 1.0 \
> > --weight_decay 1e-4 \
> > --warmup_ratio 0.0 \
> > --logging_steps 1 \
> > --gradient_checkpointing True \
> > --deepspeed ds_config_cpu.json
deepspeed --hostfile=$hostfile fine-tune.py --report_to "none" --data_path "data/belle_chat_ramdon_10k.json" --model_name_or_path "/root/.cache/modelscope/hub/baichuan-inc/Baichuan2-13B-Chat/" --output_dir "output" --model_max_length 512 --num_train_epochs 4 --per_device_train_batch_size 16 --gradient_accumulation_steps 1 --save_strategy epoch --learning_rate 2e-5 --lr_scheduler_type constant --adam_beta1 0.9 --adam_beta2 0.98 --adam_epsilon 1e-8 --max_grad_norm 1.0 --weight_decay 1e-4 --warmup_ratio 0.0 --logging_steps 1 --gradient_checkpointing True --deepspeed ds_config_cpu.json
unzip "/root/Baichuan2/fine-tuneTCM.zip"
mv /root/Baichuan2/fine-tune/fine-tuneTCM/ /root/Baichuan2/
cd ..
cd chatglm.cpp
./build/bin/main -m baichuan13-ggml.bin -i
./build/bin/main -m baichuan13b-ggml.bin -i
python3 chatglm_cpp/convert.py -i /root/.cache/modelscope/hub/baichuan-inc/Baichuan2-13B-Chat -t q4_0 -o baichuan13btcm0-ggml.bin -l /root/Baichuan2/fine-tuneTCM/output/
./build/bin/main -m baichuan13btcm0-ggml.bin -i
conda activate zhongjinggpt
cd chatglm.cpp
cd examples
gradio environment
python3 web_demo.py -m ../chatglm-ggml.bin
rm -rf /root/.cache/modelscope/hub/baichuan-inc/Baichuan2-7B-Chat-4bits/
rm -rf "/root/.cache/modelscope/hub/models--baichuan-inc--Baichuan2-13B-Chat-4bits/"
cd ..
python qw.py
pip install matplotlib -U
pip install torchvision
cd examples
python3 cli_demo.py -m ../chatglm-ggml.bin -i
cd ..
python cpm.py
pip install timm
python cpm.py
pip install transformers.cache_utils
conda create -n cpm python=3.9
conda activate cpm
pip install inference/vllm
cd ..
git clone https://github.com/OpenBMB/MiniCPM.git
conda activate zhongjinggpy
conda activate zhongjinggpt
cd chatglm.cpp
python cpm2b.py
python cpm.py
python cpm2b.py
python cpm.py
pip install flash_attn
cd ..
cd Baichuan2
cd fine-tune
pip install -U deepsparse-nightly[llm]
cd ..
cd chatglm.cpp
cd examples
./build/bin/main -m chatglm-ggml.bin -i
cd ..
./build/bin/main -m chatglm-ggml.bin -i
cd ..
python3 chatglm_cpp/convert.py -i /root/.cache/modelscope/hub/baichuan-inc/Baichuan2-13B-Chat -t q4_0 -o baichuan13btcm-ggml.bin -l /root/Baichuan2/fine-tuneTCM/output-1013/
cd chatglm.cpp
python3 chatglm_cpp/convert.py -i /root/.cache/modelscope/hub/baichuan-inc/Baichuan2-13B-Chat -t q4_0 -o baichuan13btcm-ggml.bin -l /root/Baichuan2/fine-tuneTCM/output-1013/
./build/bin/main -m baichuan13btcm-ggml.bin -i
cd ..
cd qwen.cpp
./build/bin/main -m qwen7b-ggml.bin --tiktoken "/root/.cache/modelscope/hub/Qwen/Qwen-1_8B-Chat/qwen.tiktoken" -i
./build/bin/main -m qwen1b-ggml.bin --tiktoken "/root/.cache/modelscope/hub/Qwen/Qwen-1_8B-Chat/qwen.tiktoken" -i
git clone https://github.com/intel-analytics/BigDL.git
unzip "/root/BigDL-main.zip"
cd BigDL
conda activate zhongjinggpt
pip install --pre --upgrade bigdl-llm[all]
pip install bigdl
pip install --pre --upgrade bigdl
conda activate cpm
pip install --pre --upgrade bigdl
pip install bigdl-llm
cd ..
conda activate zhongjinggpt
git clone https://github.com/mymusise/ChatGLM-Tuning.git
unzip "/root/ChatGLM-Tuning-master.zip"
cd ChatGLM-Tuning
pip install -r requirements.txt
pip install bitsandbytes
pip install accelerate
pip install protobuf
pip install icetk
pip install cpm_kernels
pip install tensorboard
pip install datasets
python cover_alpaca2jsonl.py --data_path data/alpaca_data.json --save_path data/alpaca_data.jsonl
python tokenize_dataset_rows.py --jsonl_path data/alpaca_data.jsonl --save_path data/alpaca --max_seq_length 128
top
history > command_history.txt
conda activate zhongjinggpt
cd chatglm.cpp
tmux ls
python3 cli_demo.py -m ../baichuan13btcm0-ggml.bin -p 你好 --temp 0.8 --top_p 0.8
python3 cli_demo.py -m baichuan13btcm0-ggml.bin -p 你好 --temp 0.8 --top_p 0.8
./build/bin/main -m baichuan13btcm0-ggml.bin -i
python3 cli_demo.py -m ../baichuan13btcm0-ggml.bin -p 你好 --temp 0.8 --top_p 0.8
python3 cli_demo.py -m ../chatglm-ggml.bin -i
cd examples
python3 cli_demo.py -m ../baichaun13btcm0-ggml.bin -i
cd ..
python3 /examples/cli_demo.py -m baichaun13btcm0-ggml.bin -i
python3 "/root/chatglm.cpp/examples/cli_demo.py" -m baichaun13btcm0-ggml.bin -i
cd examples
python3 cli_demo.py -m ../chatglm-ggml.bin -i
python3 cli_demo.py -m ../baichaun13b-ggml.bin -i
python3 cli_demo.py -m ../baichuan13btcm0-ggml.bin -i
python3 cli_demo.py -m ../baichuan13btcm-ggml.bin -i
python3 cli_demo.py -m ../baichuan13btcm0-ggml.bin -i
cmp -l /root/chatglm.cpp/baichuan13b-ggml.bin /root/chatglm.cpp/baichuan13btcm-ggml.bin
df -h
lsblk
mkdir /mnt/disk1
mkdir /mnt/disk2
mkdir /mnt/disk3
mount /dev/sdb /mnt/disk1
mount /dev/sdc /mnt/disk2
mount /dev/sdd /mnt/disk3
/dev/sdb /mnt/disk1 ext4 defaults 0 2
/dev/sdc /mnt/disk2 ext4 defaults 0 2
/dev/sdd /mnt/disk3 ext4 defaults 0 2
mkfs.ext4 /dev/sdb
mkfs.ext4 /dev/sdc
mkfs.ext4 /dev/sdd
mount /dev/sdb /mnt/disk1
mount /dev/sdc /mnt/disk2
mount /dev/sdd /mnt/disk3
nano /etc/fstab
mount -a
df -h
npm install -g localtunnel
apt install npm
cd ..
cd ...
cd ..
tar -xzvf npm_packages.tar.gz
cd npm
tar -xzvf npm_packages.tar.gz
dpkg -i *.deb
cd npmarm
unzip deb.zip
dpkg -i *.deb
sudo apt install gdebi-core
sudo apt --fix-broken install
cd ..
cd npmct
unzip "/root/npm/npmct/deb_files1.zip.zip"
dpkg -i *.deb
apt-get install -f
cd deb
dpkg -i *.deb
wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-arm64.zip
unzip ngrok-stable-linux-arm64.zip
chmod +x ngrok
./ngrok authtoken 2Vv5OCvuISl9XFBDcS7ZNSbWkLJ_h4Xjsyoab32StEgkyGYW
npm install -g localtunnel
sudo apt-get install libhttp-parser2.7.1
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.1/install.sh | bash
source ~/.bashrc
nvm install node # 安装最新版本的Node.js
nvm use node
sudo apt --fix-broken install
curl -x http://103.55.63.90:8080 -I https://google.com
curl -x http://2.139.187.83:3128 -I https://google.com
curl -x http://186.103.130.91:8080 -I https://google.com
curl -x http://70.63.90.245:8080 -I https://google.com
curl -x http://68.183.143.134:80 -I https://google.com
curl -x http://40.84.24.155:80 -I https://google.com
curl -x https://216.39.173.51:9001 -I https://google.com
for deb in /root/npm/*.deb; do echo "Processing $deb file..."; pkg=$(dpkg-deb -f "$deb" Package); echo "Package name extracted: $pkg"; echo $pkg >> /root/npm/npmct/deb/packages_to_remove.txt; done
cat /root/npm/npmct/deb/packages_to_remove.txt | while read pkg; do echo "Attempting to remove package: $pkg"; sudo apt-get remove --purge -y "$pkg"; done
sudo apt install xubuntu-desktop
sudo apt install ubuntu-desktop
apt --fix-broken install
sudo dpkg --remove --force-remove-reinstreq node-cacache node-copy-concurrently node-coveralls node-esprima node-fetch node-js-yaml node-jsdom node-log-driver node-mime-types node-minipass node-move-concurrently node-npm-package-arg node-opener node-ssri node-tap node-tap-mocha-reporter node-tap-parser node-ws npm
sudo apt-get install librsvg2-common python python-pkg-resources libpixman-1-0 liblcms2-2 libtiff5 libcups2 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libwayland-client0 libwayland-cursor0 libwayland-egl1 libjpeg-turbo8 libpython2.7-stdlib libsoup-gnome2.4-1 libsoup2.4-1 libc-ares2 libhttp-parser2.7.1 libssl1.0-dev
apt --fix-broken install
sudo dpkg --remove --force-remove-reinstreq $(cat /root/npm/npmct/deb/packages_to_remove.txt | tr '\n' ' ')
sudo apt install xubuntu-desktop
apt --fix-broken install
cd ..
dpkg -i node-wrappy_1.0.2-1_all.deb
cd ..
dpkg -i node-wrappy_1.0.2-1_all.deb
cd npmct
cd deb
dpkg -i .deb
dpkg -i *.deb
sudo apt --fix-broken install
sudo dpkg --configure -a
sudo apt remove --purge nodejs python python-minimal
sudo apt autoremove
sudo apt update
sudo apt install nodejs python python-minimal
sudo dpkg -i *.deb
sudo apt install ubuntu-desktop
import time
time.sleep(3) # Wait for ngrok to initialize
curl -s http://localhost:4040/api/tunnels | python3 -c "import sys, json; print(json.load(sys.stdin)['tunnels'][0]['public_url'])"
python
top
curl -x http://103.130.130.179:8080 -I https://google.com
curl --socks5 173.0.255.16:45554 -I https://google.com
curl --socks5 199.19.95.247:1080 -I https://google.com
fd -h
df -h
sudo apt install xubuntu-desktop
apt --fix-broken install
sudo apt remove node-cacache node-copy-concurrently node-coveralls node-esprima node-fetch node-js-yaml node-jsdom node-log-driver node-mime-types node-minipass node-move-concurrently node-npm-package-arg node-opener node-ssri node-tap node-tap-mocha-reporter node-tap-parser node-ws
apt --fix-broken install
cd npm
cd npmct
cd deb
dpkg -i *.deb
cd ..
cd ...
cd ..
cd chatglm.cpp
conda activate zhongjinggpt
gradio environment
pip install gradio
gradio environment
cd examples
python3 cli_demo.py -m ../baichuan13btcm0-ggml.bin -i
cd ..
cd examples
python3 web_demo.py -m ../baichuan13btcm0-ggml.bin
curl -s http://localhost:4040/api/tunnels | python3 -c "import sys, json; print(json.load(sys.stdin)['tunnels'][0]['public_url'])"
cd qwen.cpp
./build/bin/main -m qwen1b-ggml.bin --tiktoken "/root/.cache/modelscope/hub/Qwen/Qwen-1_8B-Chat/qwen.tiktoken" -i
sudo apt install ubuntu-gnome-desktop
apt --fix-broken install
cd ..
cd/root/npm/npmct/deb/
cd /root/npm/npmct/deb/
dpkg -i "/root/npm/npmct/deb/python_2.7.15~rc1-1_arm64.deb"
sudo dpkg --configure python-minimal
dpkg -i "/root/npm/npmct/deb/python2.7-minimal_2.7.18-1~20.04.3_arm64.deb"
conda activate baichuan2
conda activate chatglm
cd chatglm
cd chatglm.cpp
cd ..
cd qwen.cpp
./build/bin/main -m qwen1b-ggml.bin --tiktoken "/root/.cache/modelscope/hub/Qwen/Qwen-1_8B-Chat/qwen.tiktoken" -i
conda activate zhongjinggpt
cd llama.cpp
cd ..
cd chatglm.cpp
python3 web_demo.py -m ../baichuan13btcm0-ggml.bin
cd examples
python3 web_demo.py -m ../baichuan13btcm0-ggml.bin
conda activate chatglm
python3 web_demo.py -m ../baichuan13btcm0-ggml.bin
pip install chatglm_cpp
python3 web_demo.py -m ../baichuan13btcm0-ggml.bin
pip install gradio
conda activate chatglm
cd /root/LLaMA-Factory
CUDA_VISIBLE_DEVICES=0 USE_MODELSCOPE_HUB=1 python src/train_web.py
conda ngrok http 2137
ngrok http 2137
ps aux | grep ngrok
kill -9 28795
ngrok http 2137
ngrok http 2138
conda activate chatglm
cd chatglm.cpp/examples
python3 web_demo.py -m ../baichuan13btcm0-ggml.bin
wget --timeout=12000 --tries=10 https://github.com/fatedier/frp/releases/download/v0.54.0/frp_0.54.0_linux_arm64.tar.gz
sudo mv frpc_linux_aarch64_v0.2 /root/anaconda3/envs/chatglm/lib/python3.9/site-packages/gradio
python3 web_demo.py -m ../baichuan13btcm0-ggml.bin
frpc -v
frps -v
gradio environment
pip install gradio-client==0.10.0
pip install oauth
pip install tomlkit==0.12.0
gradio environment
unzip "/root/LLaMA-Factory-main.zip"
cd ..
mv /root/chatglm.cpp/examples/LLaMA-Factory-main/* /root/
cd root
cd /root/
unzip "/root/LLaMA-Factory-main.zip"
cd /root/LLaMA-Factory/
pip install uvicorn
pip install pydantic fastapi sse-starlette matplotlib
pip install protobuf einops trl
nvidia-smi
CUDA_VISIBLE_DEVICES=0 USE_MODELSCOPE_HUB=1 python src/train_web.py
pip install peft
CUDA_VISIBLE_DEVICES=0 USE_MODELSCOPE_HUB=1 python src/train_web.py
pip install "gradio>=3.38.0,<4.0.0
dasasdvfmaslndp"
pip install gradio==3.38.0
CUDA_VISIBLE_DEVICES=0 USE_MODELSCOPE_HUB=1 python src/train_web.py
pip install gradio==9.2
pip install gradio==3.50.2
CUDA_VISIBLE_DEVICES=0 USE_MODELSCOPE_HUB=1 python src/train_web.py
ngrok http 6006
snap install ngrok
ngrok http 6006
CUDA_VISIBLE_DEVICES=0 USE_MODELSCOPE_HUB=1 python src/train_web.py
ngrok http 6006
ngrok config upgrade
ngrok http 6006
CUDA_VISIBLE_DEVICES=0 USE_MODELSCOPE_HUB=1 python src/train_web.py
lsof -i :2136
kill 25363 27580
CUDA_VISIBLE_DEVICES=0 USE_MODELSCOPE_HUB=1 python src/train_web.py
conda activate chatglm
pip install transformers==4.37.2
pip install tiktoken
pip install transformers_stream_generator
conda activate llm
conda activate chatglm
cd /root/LLaMA-Factory/
CUDA_VISIBLE_DEVICES=0 USE_MODELSCOPE_HUB=1 python src/train_web.py
ngrok http 2137
conda activate llm
conda activate chatglm
cd /root/LLaMA-Factory/
CUDA_VISIBLE_DEVICES=0 USE_MODELSCOPE_HUB=1 python src/train_web.py
cd ..
cd chatglm.cpp
python3 examples/web_demo.py -m ../baichuan13btcm0-ggml.bin
cd examples
python3 web_demo.py -m ../baichuan13btcm0-ggml.bin
ps aux | grep ngrok
kill -9 3749
cd ..
cd qwen.cpp
cd ..
cd qwen.cpp
cd ..
cd chatglm.cpp
cd examples
python3 web_demo.py -m ../baichuan7b-ggml.bin
pip install gradio==9.9
pip install gradio==pip show gradio
pip show gradio
pip install gradio==3.49.0
cd /root/LLaMA-Factory/saves/Qwen-1.8B-Chat/lora/
unzip train.zip
cd ...
cd .
cd ..
python "/root/autodl-tmp/LLaMA-Factory/src/web_demo.py" --model_name_or_path /root/.cache/modelscope/hub/qwen/Qwen1.5-1.8B-Chat/ --adapter_name_or_path "/root/LLaMA-Factory/saves/Qwen-1.8B-Chat/lora/train/" --template qwen
python src/web_demo.py --model_name_or_path /root/.cache/modelscope/hub/qwen/Qwen1.5-1.8B-Chat/ --adapter_name_or_path "/root/LLaMA-Factory/saves/Qwen-1.8B-Chat/lora/train/" --template qwen
python src/web_demo.py --model_name_or_path /root/.cache/modelscope/hub/qwen/Qwen1.5-0.5B-Chat/ --adapter_name_or_path /root/LLaMA-Factory/saves/Qwen-0.5B-Chat/ --template qwen
python src/web_demo.py --model_name_or_path /root/.cache/modelscope/hub/qwen/Qwen1.5-1.8B-Chat/ --adapter_name_or_path "/root/LLaMA-Factory/saves/Qwen-1.8B-Chat/lora/train/" --template qwen
ps aux | grep ngrok
kill -9 3269
ngrok htp 2139
ngrok http 2139
ngrok http 2140
ngrok http 2141
conda activate chatglm
pip install modelscope
cd /root/LLaMA-Factory/
python qwen1b.py
ngrok http 2149
ngrok http 2150
tmux
--quantization_bit QUANTIZATION_BIT
conda activate zhongjinggpt
python3 chatglm_cpp/convert.py -i /root/.cache/modelscope/hub/baichuan-inc/Baichuan2-13B-Chat -t q4_0 -o baichuan13btcm0-ggml.bin -l /root/Baichuan2/fine-tuneTCM/output/
cd /root/chatglm.cpp/
python3 chatglm_cpp/convert.py -i /root/.cache/modelscope/hub/qwen/Qwen1.5-1.8B-Chat/ -t q4_0 -o qwen1btcm0-ggml.bin -l /root/LLaMA-Factory/saves/Qwen-1.8B-Chat/lora/train/
pip show transformers
pip install transformers==4.37.0
python3 chatglm_cpp/convert.py -i /root/.cache/modelscope/hub/baichuan-inc/Baichuan2-13B-Chat -t q4_0 -o baichuan13btcm0-ggml.bin -l /root/Baichuan2/fine-tuneTCM/output/
python3 chatglm_cpp/convert.py -i /root/.cache/modelscope/hub/qwen/Qwen1.5-1.8B-Chat/ -t q4_0 -o qwen1btcm0-ggml.bin -l /root/LLaMA-Factory/saves/Qwen-1.8B-Chat/lora/train/
make
cd ..
cd llama.cpp
make
cd build
cmake ..