forked from ggerganov/llama.cpp
-
Notifications
You must be signed in to change notification settings - Fork 0
/
pod-llama.sh
212 lines (148 loc) · 8.17 KB
/
pod-llama.sh
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
#!/bin/bash
#
# Use this script only on fresh pods (runpod.io)!
# Otherwise, it can break your environment!
#
if [ -z "$1" ]; then
echo "Usage: $0 <data>"
echo " 0: no models"
echo " 1: tinyllama-1b"
echo " 2: codellama-7b"
echo " 3: codellama-13b"
echo " 4: codellama-34b"
echo " 5: codellama-7b-instruct"
echo " 6: codellama-13b-instruct"
echo " 7: codellama-34b-instruct"
exit 1
fi
set -x
# setup deps
apt-get update
apt-get install -y git-lfs cmake cmake-curses-gui vim ruby
git-lfs install
if [ ! -d "/workspace" ]; then
ln -sfn $(pwd) /workspace
fi
# download data
cd /workspace
# this is useful to git clone repos without doubling the disk size due to .git
git clone https://github.com/iboB/git-lfs-download
ln -sfn /workspace/git-lfs-download/git-lfs-download /usr/local/bin/git-lfs-download
# llama.cpp
cd /workspace
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp
GGML_CUDA=1 make -j
ln -sfn /workspace/TinyLlama-1.1B-Chat-v0.3 ./models/tinyllama-1b
ln -sfn /workspace/CodeLlama-7b-hf ./models/codellama-7b
ln -sfn /workspace/CodeLlama-13b-hf ./models/codellama-13b
ln -sfn /workspace/CodeLlama-34b-hf ./models/codellama-34b
ln -sfn /workspace/CodeLlama-7b-Instruct-hf ./models/codellama-7b-instruct
ln -sfn /workspace/CodeLlama-13b-Instruct-hf ./models/codellama-13b-instruct
ln -sfn /workspace/CodeLlama-34b-Instruct-hf ./models/codellama-34b-instruct
pip install -r requirements.txt
# cmake
cd /workspace/llama.cpp
mkdir build-cublas
cd build-cublas
cmake -DGGML_CUDA=1 ../
make -j
if [ "$1" -eq "0" ]; then
exit 0
fi
# more models
if [ "$1" -eq "1" ]; then
cd /workspace
git-lfs-download https://huggingface.co/PY007/TinyLlama-1.1B-Chat-v0.3
cd /workspace/llama.cpp
python3 examples/convert_legacy_llama.py ./models/tinyllama-1b --outfile ./models/tinyllama-1b/ggml-model-f16.gguf --outtype f16
./llama-quantize ./models/tinyllama-1b/ggml-model-f16.gguf ./models/tinyllama-1b/ggml-model-q4_0.gguf q4_0
./llama-quantize ./models/tinyllama-1b/ggml-model-f16.gguf ./models/tinyllama-1b/ggml-model-q4_k.gguf q4_k
./llama-quantize ./models/tinyllama-1b/ggml-model-f16.gguf ./models/tinyllama-1b/ggml-model-q8_0.gguf q8_0
fi
if [ "$1" -eq "2" ]; then
cd /workspace
git-lfs-download https://huggingface.co/codellama/CodeLlama-7b-hf --without *safetensors*
rm -v ./CodeLlama-7b-hf/*safetensors*
cd /workspace/llama.cpp
python3 examples/convert_legacy_llama.py ./models/codellama-7b --outfile ./models/codellama-7b/ggml-model-f16.gguf --outtype f16
./llama-quantize ./models/codellama-7b/ggml-model-f16.gguf ./models/codellama-7b/ggml-model-q4_0.gguf q4_0
./llama-quantize ./models/codellama-7b/ggml-model-f16.gguf ./models/codellama-7b/ggml-model-q4_k.gguf q4_k
./llama-quantize ./models/codellama-7b/ggml-model-f16.gguf ./models/codellama-7b/ggml-model-q8_0.gguf q8_0
fi
if [ "$1" -eq "3" ]; then
cd /workspace
git-lfs-download https://huggingface.co/codellama/CodeLlama-13b-hf --without *safetensors*
rm -v ./CodeLlama-13b-hf/*safetensors*
cd /workspace/llama.cpp
python3 examples/convert_legacy_llama.py ./models/codellama-13b --outfile ./models/codellama-13b/ggml-model-f16.gguf --outtype f16
./llama-quantize ./models/codellama-13b/ggml-model-f16.gguf ./models/codellama-13b/ggml-model-q4_0.gguf q4_0
./llama-quantize ./models/codellama-13b/ggml-model-f16.gguf ./models/codellama-13b/ggml-model-q4_k.gguf q4_k
./llama-quantize ./models/codellama-13b/ggml-model-f16.gguf ./models/codellama-13b/ggml-model-q8_0.gguf q8_0
fi
if [ "$1" -eq "4" ]; then
cd /workspace
git-lfs-download https://huggingface.co/codellama/CodeLlama-34b-hf --without *safetensors*
rm -v ./CodeLlama-34b-hf/*safetensors*
cd /workspace/llama.cpp
python3 examples/convert_legacy_llama.py ./models/codellama-34b --outfile ./models/codellama-34b/ggml-model-f16.gguf --outtype f16
./llama-quantize ./models/codellama-34b/ggml-model-f16.gguf ./models/codellama-34b/ggml-model-q4_0.gguf q4_0
./llama-quantize ./models/codellama-34b/ggml-model-f16.gguf ./models/codellama-34b/ggml-model-q4_k.gguf q4_k
./llama-quantize ./models/codellama-34b/ggml-model-f16.gguf ./models/codellama-34b/ggml-model-q8_0.gguf q8_0
fi
if [ "$1" -eq "5" ]; then
cd /workspace
git-lfs-download https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf --without *safetensors*
rm -v ./CodeLlama-7b-Instruct-hf/*safetensors*
cd /workspace/llama.cpp
python3 examples/convert_legacy_llama.py ./models/codellama-7b-instruct --outfile ./models/codellama-7b-instruct/ggml-model-f16.gguf --outtype f16
./llama-quantize ./models/codellama-7b-instruct/ggml-model-f16.gguf ./models/codellama-7b-instruct/ggml-model-q4_0.gguf q4_0
./llama-quantize ./models/codellama-7b-instruct/ggml-model-f16.gguf ./models/codellama-7b-instruct/ggml-model-q4_k.gguf q4_k
./llama-quantize ./models/codellama-7b-instruct/ggml-model-f16.gguf ./models/codellama-7b-instruct/ggml-model-q8_0.gguf q8_0
fi
if [ "$1" -eq "6" ]; then
cd /workspace
git-lfs-download https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf --without *safetensors*
rm -v ./CodeLlama-13b-Instruct-hf/*safetensors*
cd /workspace/llama.cpp
python3 examples/convert_legacy_llama.py ./models/codellama-13b-instruct --outfile ./models/codellama-13b-instruct/ggml-model-f16.gguf --outtype f16
./llama-quantize ./models/codellama-13b-instruct/ggml-model-f16.gguf ./models/codellama-13b-instruct/ggml-model-q4_0.gguf q4_0
./llama-quantize ./models/codellama-13b-instruct/ggml-model-f16.gguf ./models/codellama-13b-instruct/ggml-model-q4_k.gguf q4_k
./llama-quantize ./models/codellama-13b-instruct/ggml-model-f16.gguf ./models/codellama-13b-instruct/ggml-model-q8_0.gguf q8_0
fi
if [ "$1" -eq "7" ]; then
cd /workspace
git-lfs-download https://huggingface.co/codellama/CodeLlama-34b-Instruct-hf --without *safetensors*
rm -v ./CodeLlama-34b-Instruct-hf/*safetensors*
cd /workspace/llama.cpp
python3 examples/convert_legacy_llama.py ./models/codellama-34b-instruct --outfile ./models/codellama-34b-instruct/ggml-model-f16.gguf --outtype f16
./llama-quantize ./models/codellama-34b-instruct/ggml-model-f16.gguf ./models/codellama-34b-instruct/ggml-model-q4_0.gguf q4_0
./llama-quantize ./models/codellama-34b-instruct/ggml-model-f16.gguf ./models/codellama-34b-instruct/ggml-model-q4_k.gguf q4_k
./llama-quantize ./models/codellama-34b-instruct/ggml-model-f16.gguf ./models/codellama-34b-instruct/ggml-model-q8_0.gguf q8_0
fi
if [ "$1" -eq "1" ]; then
# perf + perplexity
cd /workspace/llama.cpp/build-cublas
make -j && ../scripts/run-all-perf.sh tinyllama-1b "f16" "-ngl 99 -t 1 -p 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,32,64,128,256,512,1024,2048 -n 128"
../scripts/get-wikitext-2.sh
unzip wikitext-2-raw-v1.zip
make -j && ./bin/llama-perplexity -m ../models/tinyllama-1b/ggml-model-f16.gguf -f ./wikitext-2-raw/wiki.test.raw -ngl 100 --chunks 32
# batched
cd /workspace/llama.cpp
GGML_CUDA=1 make -j && ./llama-batched ./models/tinyllama-1b/ggml-model-f16.gguf "Hello, my name is" 8 128 999
# batched-bench
cd /workspace/llama.cpp
GGML_CUDA=1 make -j && ./llama-batched-bench ./models/tinyllama-1b/ggml-model-f16.gguf 4608 1 99 0 512 128 1,2,3,4,5,6,7,8,16,32
# parallel
cd /workspace/llama.cpp
GGML_CUDA=1 make -j && ./llama-parallel -m ./models/tinyllama-1b/ggml-model-f16.gguf -t 1 -ngl 100 -c 4096 -b 512 -s 1 -np 8 -ns 128 -n 100 -cb
fi
# speculative
#if [ "$1" -eq "7" ]; then
# cd /workspace/llama.cpp
#
# GGML_CUDA=1 make -j && ./llama-speculative -m ./models/codellama-34b-instruct/ggml-model-f16.gguf -md ./models/codellama-7b-instruct/ggml-model-q4_0.gguf -p "# Dijkstra's shortest path algorithm in Python (4 spaces indentation) + complexity analysis:\n\n" -e -ngl 999 -ngld 999 -t 4 -n 512 -c 4096 -s 21 --draft 16 -np 1 --temp 0.0
#fi
# more benches
#GGML_CUDA=1 make -j && ./llama-batched-bench ./models/codellama-7b/ggml-model-q4_k.gguf 4096 1 99 1 512,3200 128,128,800 1
#GGML_CUDA=1 make -j && ./llama-batched-bench ./models/codellama-13b/ggml-model-q4_k.gguf 4096 1 99 1 512,3200 128,128,800 1