Upload 13 files
Browse files- environment.yml +252 -0
- example.py +52 -0
- llama_prompt_model/model/README.md +204 -0
- llama_prompt_model/model/adapter_config.json +32 -0
- llama_prompt_model/model/adapter_model.safetensors +3 -0
- llama_prompt_model/model/config.json +28 -0
- llama_prompt_model/model/generation_config.json +6 -0
- llama_prompt_model/model/model.safetensors.index.json +746 -0
- llama_prompt_model/tokenizer/added_tokens.json +5 -0
- llama_prompt_model/tokenizer/special_tokens_map.json +37 -0
- llama_prompt_model/tokenizer/tokenizer.json +0 -0
- llama_prompt_model/tokenizer/tokenizer.model +3 -0
- llama_prompt_model/tokenizer/tokenizer_config.json +112 -0
environment.yml
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1 |
+
name: aspdac24
|
2 |
+
channels:
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3 |
+
- dglteam/label/cu117
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4 |
+
- conda-forge
|
5 |
+
- defaults
|
6 |
+
dependencies:
|
7 |
+
- _libgcc_mutex=0.1=conda_forge
|
8 |
+
- _openmp_mutex=4.5=2_gnu
|
9 |
+
- at-spi2-atk=2.38.0=h0630a04_3
|
10 |
+
- at-spi2-core=2.40.3=h0630a04_0
|
11 |
+
- atk-1.0=2.38.0=hd4edc92_1
|
12 |
+
- brotli=1.1.0=hd590300_1
|
13 |
+
- brotli-bin=1.1.0=hd590300_1
|
14 |
+
- brotli-python=1.0.9=py311h6a678d5_7
|
15 |
+
- bzip2=1.0.8=h7b6447c_0
|
16 |
+
- ca-certificates=2023.12.12=h06a4308_0
|
17 |
+
- cairo=1.16.0=hb05425b_5
|
18 |
+
- cairomm-1.16=1.16.2=h7e731d7_1
|
19 |
+
- certifi=2023.11.17=py311h06a4308_0
|
20 |
+
- cffi=1.16.0=py311hb3a22ac_0
|
21 |
+
- contourpy=1.2.0=py311h9547e67_0
|
22 |
+
- cryptography=41.0.7=py311hdda0065_0
|
23 |
+
- cycler=0.12.1=pyhd8ed1ab_0
|
24 |
+
- dbus=1.13.6=h5008d03_3
|
25 |
+
- dgl=1.1.2.cu117=py311_0
|
26 |
+
- epoxy=1.5.10=h166bdaf_1
|
27 |
+
- expat=2.5.0=hcb278e6_1
|
28 |
+
- font-ttf-dejavu-sans-mono=2.37=hab24e00_0
|
29 |
+
- font-ttf-inconsolata=3.000=h77eed37_0
|
30 |
+
- font-ttf-source-code-pro=2.038=h77eed37_0
|
31 |
+
- font-ttf-ubuntu=0.83=h77eed37_1
|
32 |
+
- fontconfig=2.14.1=h4c34cd2_2
|
33 |
+
- fonts-conda-ecosystem=1=0
|
34 |
+
- fonts-conda-forge=1=0
|
35 |
+
- fonttools=4.46.0=py311h459d7ec_0
|
36 |
+
- freetype=2.12.1=h267a509_2
|
37 |
+
- fribidi=1.0.10=h36c2ea0_0
|
38 |
+
- gdk-pixbuf=2.42.10=h6c15284_3
|
39 |
+
- gettext=0.21.1=h27087fc_0
|
40 |
+
- glib=2.78.3=hfc55251_0
|
41 |
+
- glib-tools=2.78.3=hfc55251_0
|
42 |
+
- gmp=6.3.0=h59595ed_0
|
43 |
+
- graph-tool=2.58=py311h35b2f40_2
|
44 |
+
- graph-tool-base=2.58=py311h2a117df_2
|
45 |
+
- graphite2=1.3.14=h295c915_1
|
46 |
+
- gtk3=3.24.34=h13ada96_0
|
47 |
+
- harfbuzz=4.3.0=hf52aaf7_2
|
48 |
+
- hicolor-icon-theme=0.17=ha770c72_2
|
49 |
+
- icu=73.2=h59595ed_0
|
50 |
+
- keyutils=1.6.1=h166bdaf_0
|
51 |
+
- kiwisolver=1.4.5=py311h9547e67_1
|
52 |
+
- krb5=1.21.2=h659d440_0
|
53 |
+
- lcms2=2.15=h7f713cb_2
|
54 |
+
- ld_impl_linux-64=2.38=h1181459_1
|
55 |
+
- lerc=4.0.0=h27087fc_0
|
56 |
+
- libblas=3.9.0=20_linux64_openblas
|
57 |
+
- libboost=1.82.0=h6fcfa73_6
|
58 |
+
- libboost-python=1.82.0=py311h92ebd52_6
|
59 |
+
- libbrotlicommon=1.1.0=hd590300_1
|
60 |
+
- libbrotlidec=1.1.0=hd590300_1
|
61 |
+
- libbrotlienc=1.1.0=hd590300_1
|
62 |
+
- libcblas=3.9.0=20_linux64_openblas
|
63 |
+
- libcups=2.3.3=h4637d8d_4
|
64 |
+
- libdeflate=1.19=hd590300_0
|
65 |
+
- libedit=3.1.20191231=he28a2e2_2
|
66 |
+
- libexpat=2.5.0=hcb278e6_1
|
67 |
+
- libffi=3.4.4=h6a678d5_0
|
68 |
+
- libgcc-ng=13.2.0=h807b86a_3
|
69 |
+
- libgfortran-ng=13.2.0=h69a702a_3
|
70 |
+
- libgfortran5=13.2.0=ha4646dd_3
|
71 |
+
- libgirepository=1.78.1=h003a4f0_1
|
72 |
+
- libglib=2.78.3=h783c2da_0
|
73 |
+
- libgomp=13.2.0=h807b86a_3
|
74 |
+
- libiconv=1.17=hd590300_1
|
75 |
+
- libjpeg-turbo=2.1.5.1=hd590300_1
|
76 |
+
- liblapack=3.9.0=20_linux64_openblas
|
77 |
+
- libopenblas=0.3.25=pthreads_h413a1c8_0
|
78 |
+
- libpng=1.6.39=h753d276_0
|
79 |
+
- librsvg=2.54.4=h7abd40a_0
|
80 |
+
- libstdcxx-ng=13.2.0=h7e041cc_3
|
81 |
+
- libtiff=4.6.0=h29866fb_1
|
82 |
+
- libuuid=1.41.5=h5eee18b_0
|
83 |
+
- libwebp-base=1.3.2=hd590300_0
|
84 |
+
- libxcb=1.15=h0b41bf4_0
|
85 |
+
- libxml2=2.10.4=hf1b16e4_1
|
86 |
+
- libzlib=1.2.13=hd590300_5
|
87 |
+
- matplotlib-base=3.8.0=py311h54ef318_1
|
88 |
+
- munkres=1.1.4=pyh9f0ad1d_0
|
89 |
+
- ncurses=6.4=h6a678d5_0
|
90 |
+
- numpy=1.26.2=py311h64a7726_0
|
91 |
+
- openjpeg=2.5.0=h488ebb8_3
|
92 |
+
- openssl=3.2.0=hd590300_1
|
93 |
+
- packaging=23.2=pyhd8ed1ab_0
|
94 |
+
- pango=1.50.7=hbd2fdc8_0
|
95 |
+
- pcre2=10.42=hcad00b1_0
|
96 |
+
- pillow=10.0.1=py311h8aef010_1
|
97 |
+
- pip=23.3.1=py311h06a4308_0
|
98 |
+
- pixman=0.42.2=h59595ed_0
|
99 |
+
- pthread-stubs=0.4=h36c2ea0_1001
|
100 |
+
- pycairo=1.25.0=py311h8feb60e_1
|
101 |
+
- pycparser=2.21=pyhd8ed1ab_0
|
102 |
+
- pygobject=3.46.0=py311h86ed371_1
|
103 |
+
- pyopenssl=23.2.0=py311h06a4308_0
|
104 |
+
- pyparsing=3.1.1=pyhd8ed1ab_0
|
105 |
+
- pysocks=1.7.1=py311h06a4308_0
|
106 |
+
- python=3.11.5=h955ad1f_0
|
107 |
+
- python-dateutil=2.8.2=pyhd8ed1ab_0
|
108 |
+
- python_abi=3.11=2_cp311
|
109 |
+
- readline=8.2=h5eee18b_0
|
110 |
+
- requests=2.31.0=py311h06a4308_0
|
111 |
+
- scipy=1.11.4=py311h64a7726_0
|
112 |
+
- setuptools=68.2.2=py311h06a4308_0
|
113 |
+
- sigcpp-3.0=3.6.0=h59595ed_0
|
114 |
+
- six=1.16.0=pyh6c4a22f_0
|
115 |
+
- sparsehash=2.0.4=hcb278e6_1
|
116 |
+
- sqlite=3.41.2=h5eee18b_0
|
117 |
+
- tk=8.6.12=h1ccaba5_0
|
118 |
+
- wheel=0.41.2=py311h06a4308_0
|
119 |
+
- xorg-fixesproto=5.0=h7f98852_1002
|
120 |
+
- xorg-inputproto=2.3.2=h7f98852_1002
|
121 |
+
- xorg-kbproto=1.0.7=h7f98852_1002
|
122 |
+
- xorg-libx11=1.8.7=h8ee46fc_0
|
123 |
+
- xorg-libxau=1.0.11=hd590300_0
|
124 |
+
- xorg-libxdmcp=1.1.3=h7f98852_0
|
125 |
+
- xorg-libxext=1.3.4=h0b41bf4_2
|
126 |
+
- xorg-libxfixes=5.0.3=h7f98852_1004
|
127 |
+
- xorg-libxi=1.7.10=h7f98852_0
|
128 |
+
- xorg-libxtst=1.2.3=h7f98852_1002
|
129 |
+
- xorg-recordproto=1.14.2=h7f98852_1002
|
130 |
+
- xorg-xextproto=7.3.0=h0b41bf4_1003
|
131 |
+
- xorg-xproto=7.0.31=h7f98852_1007
|
132 |
+
- xz=5.4.5=h5eee18b_0
|
133 |
+
- zlib=1.2.13=hd590300_5
|
134 |
+
- zstandard=0.22.0=py311haa97af0_0
|
135 |
+
- zstd=1.5.5=hfc55251_0
|
136 |
+
- pip:
|
137 |
+
- accelerate==0.27.2
|
138 |
+
- aiohttp==3.9.3
|
139 |
+
- aiosignal==1.3.1
|
140 |
+
- annotated-types==0.6.0
|
141 |
+
- anyio==4.3.0
|
142 |
+
- attrs==23.1.0
|
143 |
+
- beautifulsoup4==4.12.2
|
144 |
+
- bitsandbytes==0.42.0
|
145 |
+
- bleach==6.1.0
|
146 |
+
- chardet==5.2.0
|
147 |
+
- charset-normalizer==3.3.2
|
148 |
+
- datasets==2.16.1
|
149 |
+
- deepspeed==0.13.4
|
150 |
+
- defusedxml==0.7.1
|
151 |
+
- dill==0.3.7
|
152 |
+
- distro==1.9.0
|
153 |
+
- docstring-parser==0.15
|
154 |
+
- einops==0.7.0
|
155 |
+
- et-xmlfile==1.1.0
|
156 |
+
- fairscale==0.4.13
|
157 |
+
- fastjsonschema==2.19.1
|
158 |
+
- filelock==3.13.1
|
159 |
+
- fire==0.5.0
|
160 |
+
- flash-attn==2.5.5
|
161 |
+
- frozenlist==1.4.1
|
162 |
+
- fsspec==2023.10.0
|
163 |
+
- h11==0.14.0
|
164 |
+
- hjson==3.1.0
|
165 |
+
- httpcore==1.0.4
|
166 |
+
- httpx==0.27.0
|
167 |
+
- huggingface-hub==0.20.3
|
168 |
+
- idna==3.6
|
169 |
+
- jinja2==3.1.2
|
170 |
+
- joblib==1.3.2
|
171 |
+
- jsonlines==4.0.0
|
172 |
+
- jsonschema==4.20.0
|
173 |
+
- jsonschema-specifications==2023.12.1
|
174 |
+
- jupyter-client==8.6.0
|
175 |
+
- jupyter-core==5.5.1
|
176 |
+
- jupyterlab-pygments==0.3.0
|
177 |
+
- markdown-it-py==3.0.0
|
178 |
+
- markupsafe==2.1.3
|
179 |
+
- mdurl==0.1.2
|
180 |
+
- mistune==3.0.2
|
181 |
+
- mpmath==1.3.0
|
182 |
+
- multidict==6.0.5
|
183 |
+
- multiprocess==0.70.15
|
184 |
+
- nbclient==0.9.0
|
185 |
+
- nbconvert==7.13.1
|
186 |
+
- nbformat==5.9.2
|
187 |
+
- networkx==3.2.1
|
188 |
+
- ninja==1.11.1.1
|
189 |
+
- nvidia-cublas-cu11==11.10.3.66
|
190 |
+
- nvidia-cublas-cu12==12.1.3.1
|
191 |
+
- nvidia-cuda-cupti-cu12==12.1.105
|
192 |
+
- nvidia-cuda-nvrtc-cu11==11.7.99
|
193 |
+
- nvidia-cuda-nvrtc-cu12==12.1.105
|
194 |
+
- nvidia-cuda-runtime-cu11==11.7.99
|
195 |
+
- nvidia-cuda-runtime-cu12==12.1.105
|
196 |
+
- nvidia-cudnn-cu11==8.5.0.96
|
197 |
+
- nvidia-cudnn-cu12==8.9.2.26
|
198 |
+
- nvidia-cufft-cu12==11.0.2.54
|
199 |
+
- nvidia-curand-cu12==10.3.2.106
|
200 |
+
- nvidia-cusolver-cu12==11.4.5.107
|
201 |
+
- nvidia-cusparse-cu12==12.1.0.106
|
202 |
+
- nvidia-nccl-cu12==2.19.3
|
203 |
+
- nvidia-nvjitlink-cu12==12.3.101
|
204 |
+
- nvidia-nvtx-cu12==12.1.105
|
205 |
+
- openai==1.13.3
|
206 |
+
- openpyxl==3.1.2
|
207 |
+
- pandas==2.1.4
|
208 |
+
- pandocfilters==1.5.0
|
209 |
+
- peft==0.8.2
|
210 |
+
- platformdirs==4.1.0
|
211 |
+
- protobuf==4.25.2
|
212 |
+
- psutil==5.9.7
|
213 |
+
- py-cpuinfo==9.0.0
|
214 |
+
- pyarrow==15.0.0
|
215 |
+
- pyarrow-hotfix==0.6
|
216 |
+
- pydantic==2.6.2
|
217 |
+
- pydantic-core==2.16.3
|
218 |
+
- pygments==2.17.2
|
219 |
+
- pynvml==11.5.0
|
220 |
+
- pytz==2023.3.post1
|
221 |
+
- pyyaml==6.0.1
|
222 |
+
- pyzmq==25.1.2
|
223 |
+
- referencing==0.32.0
|
224 |
+
- regex==2023.12.25
|
225 |
+
- rich==13.7.0
|
226 |
+
- rpds-py==0.16.2
|
227 |
+
- safetensors==0.4.2
|
228 |
+
- scikit-learn==1.3.2
|
229 |
+
- sentencepiece==0.1.99
|
230 |
+
- shtab==1.6.5
|
231 |
+
- sniffio==1.3.1
|
232 |
+
- soupsieve==2.5
|
233 |
+
- sympy==1.12
|
234 |
+
- termcolor==2.4.0
|
235 |
+
- threadpoolctl==3.2.0
|
236 |
+
- tinycss2==1.2.1
|
237 |
+
- tokenizers==0.15.1
|
238 |
+
- torch==2.2.1
|
239 |
+
- tornado==6.4
|
240 |
+
- tqdm==4.66.1
|
241 |
+
- traitlets==5.14.0
|
242 |
+
- transformers==4.38.1
|
243 |
+
- triton==2.2.0
|
244 |
+
- trl==0.7.11
|
245 |
+
- typing-extensions==4.9.0
|
246 |
+
- tyro==0.7.2
|
247 |
+
- tzdata==2023.3
|
248 |
+
- urllib3==2.1.0
|
249 |
+
- webencodings==0.5.1
|
250 |
+
- xxhash==3.4.1
|
251 |
+
- yarl==1.9.4
|
252 |
+
prefix: /home/bingyuew/miniconda3/envs/aspdac24
|
example.py
ADDED
@@ -0,0 +1,52 @@
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
##########################
|
2 |
+
#Must include these lines#
|
3 |
+
##########################
|
4 |
+
import os
|
5 |
+
os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID"
|
6 |
+
os.environ["CUDA_VISIBLE_DEVICES"]="0,1,2,3"
|
7 |
+
import torch
|
8 |
+
from transformers import (
|
9 |
+
AutoModelForCausalLM,
|
10 |
+
AutoTokenizer,
|
11 |
+
pipeline,
|
12 |
+
)
|
13 |
+
from peft import PeftModel
|
14 |
+
|
15 |
+
####################################################
|
16 |
+
#This is how you can set up Llama model on your end#
|
17 |
+
####################################################
|
18 |
+
model = AutoModelForCausalLM.from_pretrained(
|
19 |
+
'codellama/CodeLlama-7b-Instruct-hf',
|
20 |
+
device_map = "balanced_low_0"
|
21 |
+
)
|
22 |
+
|
23 |
+
tokenizer = AutoTokenizer.from_pretrained(
|
24 |
+
'llama_prompt_model/tokenizer',
|
25 |
+
padding=True,
|
26 |
+
truncation=True,
|
27 |
+
device_map = "balanced_low_0"
|
28 |
+
)
|
29 |
+
|
30 |
+
model.resize_token_embeddings(len(tokenizer))
|
31 |
+
|
32 |
+
model = PeftModel.from_pretrained(model, "llama_prompt_model/model")
|
33 |
+
|
34 |
+
model = model.merge_and_unload()
|
35 |
+
|
36 |
+
################################################
|
37 |
+
#This is how you can communicate with the model#
|
38 |
+
################################################
|
39 |
+
pipe = pipeline(task="text-generation", model = model, tokenizer = tokenizer, max_length = 2000, pad_token_id = 2)
|
40 |
+
|
41 |
+
##################################################
|
42 |
+
#feel free to change this line and see the result#
|
43 |
+
##################################################
|
44 |
+
prompt = "What's your name?"
|
45 |
+
|
46 |
+
result = pipe("<s>[INST]%s[/INST]"%(prompt))[0]['generated_text']
|
47 |
+
|
48 |
+
print(result)
|
49 |
+
|
50 |
+
|
51 |
+
|
52 |
+
|
llama_prompt_model/model/README.md
ADDED
@@ -0,0 +1,204 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: codellama/CodeLlama-7b-Instruct-hf
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
|
201 |
+
|
202 |
+
### Framework versions
|
203 |
+
|
204 |
+
- PEFT 0.8.2
|
llama_prompt_model/model/adapter_config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layers_pattern": null,
|
10 |
+
"layers_to_transform": null,
|
11 |
+
"loftq_config": {},
|
12 |
+
"lora_alpha": 16,
|
13 |
+
"lora_dropout": 0.1,
|
14 |
+
"megatron_config": null,
|
15 |
+
"megatron_core": "megatron.core",
|
16 |
+
"modules_to_save": null,
|
17 |
+
"peft_type": "LORA",
|
18 |
+
"r": 64,
|
19 |
+
"rank_pattern": {},
|
20 |
+
"revision": null,
|
21 |
+
"target_modules": [
|
22 |
+
"q_proj",
|
23 |
+
"v_proj",
|
24 |
+
"k_proj",
|
25 |
+
"down_proj",
|
26 |
+
"up_proj",
|
27 |
+
"o_proj",
|
28 |
+
"gate_proj"
|
29 |
+
],
|
30 |
+
"task_type": "CAUSAL_LM",
|
31 |
+
"use_rslora": false
|
32 |
+
}
|
llama_prompt_model/model/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:11d172f45a8d554d8da745a5d1c6f493b98885f45617cba57fa325cc6e4b0e14
|
3 |
+
size 844476320
|
llama_prompt_model/model/config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 4096,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 11008,
|
14 |
+
"max_position_embeddings": 16384,
|
15 |
+
"model_type": "llama",
|
16 |
+
"num_attention_heads": 32,
|
17 |
+
"num_hidden_layers": 32,
|
18 |
+
"num_key_value_heads": 32,
|
19 |
+
"pretraining_tp": 1,
|
20 |
+
"rms_norm_eps": 1e-05,
|
21 |
+
"rope_scaling": null,
|
22 |
+
"rope_theta": 1000000,
|
23 |
+
"tie_word_embeddings": false,
|
24 |
+
"torch_dtype": "bfloat16",
|
25 |
+
"transformers_version": "4.38.1",
|
26 |
+
"use_cache": false,
|
27 |
+
"vocab_size": 32019
|
28 |
+
}
|
llama_prompt_model/model/generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
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llama_prompt_model/model/model.safetensors.index.json
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|
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"model.layers.9.mlp.up_proj.base_layer.weight": "model-00001-of-00003.safetensors",
|
729 |
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"model.layers.9.mlp.up_proj.lora_A.default.weight": "model-00001-of-00003.safetensors",
|
730 |
+
"model.layers.9.mlp.up_proj.lora_B.default.weight": "model-00001-of-00003.safetensors",
|
731 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
732 |
+
"model.layers.9.self_attn.k_proj.base_layer.weight": "model-00001-of-00003.safetensors",
|
733 |
+
"model.layers.9.self_attn.k_proj.lora_A.default.weight": "model-00001-of-00003.safetensors",
|
734 |
+
"model.layers.9.self_attn.k_proj.lora_B.default.weight": "model-00001-of-00003.safetensors",
|
735 |
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"model.layers.9.self_attn.o_proj.base_layer.weight": "model-00001-of-00003.safetensors",
|
736 |
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"model.layers.9.self_attn.o_proj.lora_A.default.weight": "model-00001-of-00003.safetensors",
|
737 |
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"model.layers.9.self_attn.o_proj.lora_B.default.weight": "model-00001-of-00003.safetensors",
|
738 |
+
"model.layers.9.self_attn.q_proj.base_layer.weight": "model-00001-of-00003.safetensors",
|
739 |
+
"model.layers.9.self_attn.q_proj.lora_A.default.weight": "model-00001-of-00003.safetensors",
|
740 |
+
"model.layers.9.self_attn.q_proj.lora_B.default.weight": "model-00001-of-00003.safetensors",
|
741 |
+
"model.layers.9.self_attn.v_proj.base_layer.weight": "model-00001-of-00003.safetensors",
|
742 |
+
"model.layers.9.self_attn.v_proj.lora_A.default.weight": "model-00001-of-00003.safetensors",
|
743 |
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"model.layers.9.self_attn.v_proj.lora_B.default.weight": "model-00001-of-00003.safetensors",
|
744 |
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"model.norm.weight": "model-00003-of-00003.safetensors"
|
745 |
+
}
|
746 |
+
}
|
llama_prompt_model/tokenizer/added_tokens.json
ADDED
@@ -0,0 +1,5 @@
|
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|
1 |
+
{
|
2 |
+
"</CPP>": 32018,
|
3 |
+
"<CPP>": 32017,
|
4 |
+
"<MASK>": 32016
|
5 |
+
}
|
llama_prompt_model/tokenizer/special_tokens_map.json
ADDED
@@ -0,0 +1,37 @@
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|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"β<PRE>",
|
4 |
+
"β<MID>",
|
5 |
+
"β<SUF>",
|
6 |
+
"β<EOT>"
|
7 |
+
],
|
8 |
+
"bos_token": {
|
9 |
+
"content": "<s>",
|
10 |
+
"lstrip": false,
|
11 |
+
"normalized": false,
|
12 |
+
"rstrip": false,
|
13 |
+
"single_word": false
|
14 |
+
},
|
15 |
+
"eos_token": {
|
16 |
+
"content": "</s>",
|
17 |
+
"lstrip": false,
|
18 |
+
"normalized": false,
|
19 |
+
"rstrip": false,
|
20 |
+
"single_word": false
|
21 |
+
},
|
22 |
+
"mask_token": {
|
23 |
+
"content": "<MASK>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false
|
28 |
+
},
|
29 |
+
"pad_token": "</s>",
|
30 |
+
"unk_token": {
|
31 |
+
"content": "<unk>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false
|
36 |
+
}
|
37 |
+
}
|
llama_prompt_model/tokenizer/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
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|
llama_prompt_model/tokenizer/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
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|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
|
3 |
+
size 500058
|
llama_prompt_model/tokenizer/tokenizer_config.json
ADDED
@@ -0,0 +1,112 @@
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
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"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
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+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
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+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
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+
"content": "</s>",
|
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+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"32007": {
|
30 |
+
"content": "β<PRE>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"32008": {
|
38 |
+
"content": "β<SUF>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"32009": {
|
46 |
+
"content": "β<MID>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
},
|
53 |
+
"32010": {
|
54 |
+
"content": "β<EOT>",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": true
|
60 |
+
},
|
61 |
+
"32016": {
|
62 |
+
"content": "<MASK>",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": false,
|
65 |
+
"rstrip": false,
|
66 |
+
"single_word": false,
|
67 |
+
"special": true
|
68 |
+
},
|
69 |
+
"32017": {
|
70 |
+
"content": "<CPP>",
|
71 |
+
"lstrip": false,
|
72 |
+
"normalized": true,
|
73 |
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"rstrip": false,
|
74 |
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"single_word": false,
|
75 |
+
"special": false
|
76 |
+
},
|
77 |
+
"32018": {
|
78 |
+
"content": "</CPP>",
|
79 |
+
"lstrip": false,
|
80 |
+
"normalized": true,
|
81 |
+
"rstrip": false,
|
82 |
+
"single_word": false,
|
83 |
+
"special": false
|
84 |
+
}
|
85 |
+
},
|
86 |
+
"additional_special_tokens": [
|
87 |
+
"β<PRE>",
|
88 |
+
"β<MID>",
|
89 |
+
"β<SUF>",
|
90 |
+
"β<EOT>"
|
91 |
+
],
|
92 |
+
"bos_token": "<s>",
|
93 |
+
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content | trim + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' ' + content | trim + ' ' + eos_token }}{% endif %}{% endfor %}",
|
94 |
+
"clean_up_tokenization_spaces": false,
|
95 |
+
"device_map": "balanced_low_0",
|
96 |
+
"eos_token": "</s>",
|
97 |
+
"eot_token": "β<EOT>",
|
98 |
+
"fill_token": "<FILL_ME>",
|
99 |
+
"legacy": null,
|
100 |
+
"mask_token": "<MASK>",
|
101 |
+
"middle_token": "β<MID>",
|
102 |
+
"model_max_length": 1000000000000000019884624838656,
|
103 |
+
"pad_token": "</s>",
|
104 |
+
"padding": true,
|
105 |
+
"prefix_token": "β<PRE>",
|
106 |
+
"sp_model_kwargs": {},
|
107 |
+
"suffix_token": "β<SUF>",
|
108 |
+
"tokenizer_class": "CodeLlamaTokenizer",
|
109 |
+
"truncation": true,
|
110 |
+
"unk_token": "<unk>",
|
111 |
+
"use_default_system_prompt": false
|
112 |
+
}
|