Create .env.local
Browse files- .env.local +236 -0
.env.local
ADDED
@@ -0,0 +1,236 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# template used in production for HuggingChat.
|
2 |
+
MODELS=`[
|
3 |
+
{
|
4 |
+
"name" : "mistralai/Mixtral-8x7B-Instruct-v0.1",
|
5 |
+
"description" : "The latest MoE model from Mistral AI! 8x7B and outperforms Llama 2 70B in most benchmarks.",
|
6 |
+
"websiteUrl" : "https://mistral.ai/news/mixtral-of-experts/",
|
7 |
+
"preprompt" : "",
|
8 |
+
"chatPromptTemplate": "<s> {{#each messages}}{{#ifUser}}[INST]{{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}} {{content}} [/INST]{{/ifUser}}{{#ifAssistant}} {{content}}</s> {{/ifAssistant}}{{/each}}",
|
9 |
+
"parameters" : {
|
10 |
+
"temperature" : 0.6,
|
11 |
+
"top_p" : 0.95,
|
12 |
+
"repetition_penalty" : 1.2,
|
13 |
+
"top_k" : 50,
|
14 |
+
"truncate" : 24576,
|
15 |
+
"max_new_tokens" : 8192,
|
16 |
+
"stop" : ["</s>"]
|
17 |
+
},
|
18 |
+
"promptExamples" : [
|
19 |
+
{
|
20 |
+
"title": "Write an email from bullet list",
|
21 |
+
"prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)"
|
22 |
+
}, {
|
23 |
+
"title": "Code a snake game",
|
24 |
+
"prompt": "Code a basic snake game in python, give explanations for each step."
|
25 |
+
}, {
|
26 |
+
"title": "Assist in a task",
|
27 |
+
"prompt": "How do I make a delicious lemon cheesecake?"
|
28 |
+
}
|
29 |
+
]
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"name": "meta-llama/Llama-2-70b-chat-hf",
|
33 |
+
"description": "The latest and biggest model from Meta, fine-tuned for chat.",
|
34 |
+
"websiteUrl": "https://ai.meta.com/llama/",
|
35 |
+
"preprompt": " ",
|
36 |
+
"chatPromptTemplate" : "<s>[INST] <<SYS>>\n{{preprompt}}\n<</SYS>>\n\n{{#each messages}}{{#ifUser}}{{content}} [/INST] {{/ifUser}}{{#ifAssistant}}{{content}} </s><s>[INST] {{/ifAssistant}}{{/each}}",
|
37 |
+
"promptExamples": [
|
38 |
+
{
|
39 |
+
"title": "Write an email from bullet list",
|
40 |
+
"prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)"
|
41 |
+
}, {
|
42 |
+
"title": "Code a snake game",
|
43 |
+
"prompt": "Code a basic snake game in python, give explanations for each step."
|
44 |
+
}, {
|
45 |
+
"title": "Assist in a task",
|
46 |
+
"prompt": "How do I make a delicious lemon cheesecake?"
|
47 |
+
}
|
48 |
+
],
|
49 |
+
"parameters": {
|
50 |
+
"temperature": 0.1,
|
51 |
+
"top_p": 0.95,
|
52 |
+
"repetition_penalty": 1.2,
|
53 |
+
"top_k": 50,
|
54 |
+
"truncate": 3072,
|
55 |
+
"max_new_tokens": 1024,
|
56 |
+
"stop" : ["</s>", "</s><s>[INST]"]
|
57 |
+
}
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"name" : "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
|
61 |
+
"description" : "Nous Hermes 2 Mixtral 8x7B DPO is the new flagship Nous Research model trained over the Mixtral 8x7B MoE LLM.",
|
62 |
+
"websiteUrl" : "https://nousresearch.com/",
|
63 |
+
"chatPromptTemplate" : "{{#if @root.preprompt}}<|im_start|>system\n{{@root.preprompt}}<|im_end|>\n{{/if}}{{#each messages}}{{#ifUser}}<|im_start|>user\n{{content}}<|im_end|>\n<|im_start|>assistant\n{{/ifUser}}{{#ifAssistant}}{{content}}<|im_end|>\n{{/ifAssistant}}{{/each}}",
|
64 |
+
"promptExamples": [
|
65 |
+
{
|
66 |
+
"title": "Write an email from bullet list",
|
67 |
+
"prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)"
|
68 |
+
}, {
|
69 |
+
"title": "Code a snake game",
|
70 |
+
"prompt": "Code a basic snake game in python, give explanations for each step."
|
71 |
+
}, {
|
72 |
+
"title": "Assist in a task",
|
73 |
+
"prompt": "How do I make a delicious lemon cheesecake?"
|
74 |
+
}
|
75 |
+
],
|
76 |
+
"parameters": {
|
77 |
+
"temperature": 0.7,
|
78 |
+
"top_p": 0.95,
|
79 |
+
"repetition_penalty": 1,
|
80 |
+
"top_k": 50,
|
81 |
+
"truncate": 24576,
|
82 |
+
"max_new_tokens": 2048,
|
83 |
+
"stop": ["<|im_end|>"]
|
84 |
+
}
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"name": "codellama/CodeLlama-70b-Instruct-hf",
|
88 |
+
"displayName": "codellama/CodeLlama-70b-Instruct-hf",
|
89 |
+
"description": "Code Llama, a state of the art code model from Meta. Now in 70B!",
|
90 |
+
"websiteUrl": "https://ai.meta.com/blog/code-llama-large-language-model-coding/",
|
91 |
+
"preprompt": "",
|
92 |
+
"chatPromptTemplate" : "<s>{{#if @root.preprompt}}Source: system\n\n {{@root.preprompt}} <step> {{/if}}{{#each messages}}{{#ifUser}}Source: user\n\n {{content}} <step> {{/ifUser}}{{#ifAssistant}}Source: assistant\n\n {{content}} <step> {{/ifAssistant}}{{/each}}Source: assistant\nDestination: user\n\n ",
|
93 |
+
"promptExamples": [
|
94 |
+
{
|
95 |
+
"title": "Fibonacci in Python",
|
96 |
+
"prompt": "Write a python function to calculate the nth fibonacci number."
|
97 |
+
}, {
|
98 |
+
"title": "JavaScript promises",
|
99 |
+
"prompt": "How can I wait for multiple JavaScript promises to fulfill before doing something with their values?"
|
100 |
+
}, {
|
101 |
+
"title": "Rust filesystem",
|
102 |
+
"prompt": "How can I load a file from disk in Rust?"
|
103 |
+
}
|
104 |
+
],
|
105 |
+
"parameters": {
|
106 |
+
"temperature": 0.1,
|
107 |
+
"top_p": 0.95,
|
108 |
+
"repetition_penalty": 1.2,
|
109 |
+
"top_k": 50,
|
110 |
+
"truncate": 4096,
|
111 |
+
"max_new_tokens": 4096,
|
112 |
+
"stop": ["<step>", " <step>", " <step> "],
|
113 |
+
}
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"name": "mistralai/Mistral-7B-Instruct-v0.1",
|
117 |
+
"displayName": "mistralai/Mistral-7B-Instruct-v0.1",
|
118 |
+
"description": "Mistral 7B is a new Apache 2.0 model, released by Mistral AI that outperforms Llama2 13B in benchmarks.",
|
119 |
+
"websiteUrl": "https://mistral.ai/news/announcing-mistral-7b/",
|
120 |
+
"preprompt": "",
|
121 |
+
"chatPromptTemplate" : "<s>{{#each messages}}{{#ifUser}}[INST] {{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}}{{content}} [/INST]{{/ifUser}}{{#ifAssistant}}{{content}}</s>{{/ifAssistant}}{{/each}}",
|
122 |
+
"parameters": {
|
123 |
+
"temperature": 0.1,
|
124 |
+
"top_p": 0.95,
|
125 |
+
"repetition_penalty": 1.2,
|
126 |
+
"top_k": 50,
|
127 |
+
"truncate": 3072,
|
128 |
+
"max_new_tokens": 1024,
|
129 |
+
"stop": ["</s>"]
|
130 |
+
},
|
131 |
+
"promptExamples": [
|
132 |
+
{
|
133 |
+
"title": "Write an email from bullet list",
|
134 |
+
"prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)"
|
135 |
+
}, {
|
136 |
+
"title": "Code a snake game",
|
137 |
+
"prompt": "Code a basic snake game in python, give explanations for each step."
|
138 |
+
}, {
|
139 |
+
"title": "Assist in a task",
|
140 |
+
"prompt": "How do I make a delicious lemon cheesecake?"
|
141 |
+
}
|
142 |
+
],
|
143 |
+
"unlisted": true
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"name": "mistralai/Mistral-7B-Instruct-v0.2",
|
147 |
+
"displayName": "mistralai/Mistral-7B-Instruct-v0.2",
|
148 |
+
"description": "Mistral 7B is a new Apache 2.0 model, released by Mistral AI that outperforms Llama2 13B in benchmarks.",
|
149 |
+
"websiteUrl": "https://mistral.ai/news/announcing-mistral-7b/",
|
150 |
+
"preprompt": "",
|
151 |
+
"chatPromptTemplate" : "<s>{{#each messages}}{{#ifUser}}[INST] {{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}}{{content}} [/INST]{{/ifUser}}{{#ifAssistant}}{{content}}</s>{{/ifAssistant}}{{/each}}",
|
152 |
+
"parameters": {
|
153 |
+
"temperature": 0.3,
|
154 |
+
"top_p": 0.95,
|
155 |
+
"repetition_penalty": 1.2,
|
156 |
+
"top_k": 50,
|
157 |
+
"truncate": 3072,
|
158 |
+
"max_new_tokens": 1024,
|
159 |
+
"stop": ["</s>"]
|
160 |
+
},
|
161 |
+
"promptExamples": [
|
162 |
+
{
|
163 |
+
"title": "Write an email from bullet list",
|
164 |
+
"prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)"
|
165 |
+
}, {
|
166 |
+
"title": "Code a snake game",
|
167 |
+
"prompt": "Code a basic snake game in python, give explanations for each step."
|
168 |
+
}, {
|
169 |
+
"title": "Assist in a task",
|
170 |
+
"prompt": "How do I make a delicious lemon cheesecake?"
|
171 |
+
}
|
172 |
+
]
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"name": "openchat/openchat-3.5-0106",
|
176 |
+
"displayName": "openchat/openchat-3.5-0106",
|
177 |
+
"description": "OpenChat 3.5 is the #1 model on MT-Bench, with only 7B parameters.",
|
178 |
+
"websiteUrl": "https://huggingface.co/openchat/openchat-3.5-0106",
|
179 |
+
"preprompt": "",
|
180 |
+
"chatPromptTemplate" : "<s>{{#each messages}}{{#ifUser}}GPT4 Correct User: {{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}}{{content}}<|end_of_turn|>GPT4 Correct Assistant:{{/ifUser}}{{#ifAssistant}}{{content}}<|end_of_turn|>{{/ifAssistant}}{{/each}}",
|
181 |
+
"parameters": {
|
182 |
+
"temperature": 0.6,
|
183 |
+
"top_p": 0.95,
|
184 |
+
"repetition_penalty": 1.2,
|
185 |
+
"top_k": 50,
|
186 |
+
"truncate": 6016,
|
187 |
+
"max_new_tokens": 2048,
|
188 |
+
"stop": ["<|end_of_turn|>"]
|
189 |
+
},
|
190 |
+
"promptExamples": [
|
191 |
+
{
|
192 |
+
"title": "Write an email from bullet list",
|
193 |
+
"prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)"
|
194 |
+
}, {
|
195 |
+
"title": "Code a snake game",
|
196 |
+
"prompt": "Code a basic snake game in python, give explanations for each step."
|
197 |
+
}, {
|
198 |
+
"title": "Assist in a task",
|
199 |
+
"prompt": "How do I make a delicious lemon cheesecake?"
|
200 |
+
}
|
201 |
+
]
|
202 |
+
}
|
203 |
+
]`
|
204 |
+
OLD_MODELS=`[
|
205 |
+
{"name":"bigcode/starcoder"},
|
206 |
+
{"name":"OpenAssistant/oasst-sft-6-llama-30b-xor"},
|
207 |
+
{"name":"HuggingFaceH4/zephyr-7b-alpha"},
|
208 |
+
{"name":"openchat/openchat_3.5"},
|
209 |
+
{"name":"openchat/openchat-3.5-1210"},
|
210 |
+
{"name": "tiiuae/falcon-180B-chat"},
|
211 |
+
{"name": "codellama/CodeLlama-34b-Instruct-hf"}
|
212 |
+
]`
|
213 |
+
TASK_MODEL='mistralai/Mistral-7B-Instruct-v0.1'
|
214 |
+
APP_BASE="/chat"
|
215 |
+
PUBLIC_ORIGIN=https://huggingface.co
|
216 |
+
PUBLIC_SHARE_PREFIX=https://hf.co/chat
|
217 |
+
PUBLIC_ANNOUNCEMENT_BANNERS=`[]`
|
218 |
+
PUBLIC_APP_NAME=Hugging
|
219 |
+
PUBLIC_APP_ASSETS=hugging
|
220 |
+
PUBLIC_APP_COLOR=yellow
|
221 |
+
PUBLIC_APP_DESCRIPTION="Making the community's best AI chat models available to everyone."
|
222 |
+
PUBLIC_APP_DISCLAIMER_MESSAGE="Disclaimer: AI is an area of active research with known problems such as biased generation and misinformation. Do not use this application for high-stakes decisions or advice."
|
223 |
+
PUBLIC_APP_DATA_SHARING=1
|
224 |
+
PUBLIC_APP_DISCLAIMER=1
|
225 |
+
RATE_LIMIT=16
|
226 |
+
MESSAGES_BEFORE_LOGIN=5# how many messages a user can send in a conversation before having to login. set to 0 to force login right away
|
227 |
+
PUBLIC_GOOGLE_ANALYTICS_ID=G-8Q63TH4CSL
|
228 |
+
PUBLIC_PLAUSIBLE_SCRIPT_URL="/js/script.js"
|
229 |
+
# Not part of the .env but set as other variables in the space
|
230 |
+
# ADDRESS_HEADER=X-Forwarded-For
|
231 |
+
# XFF_DEPTH=2
|
232 |
+
ENABLE_ASSISTANTS=true
|
233 |
+
EXPOSE_API=true
|
234 |
+
ALTERNATIVE_REDIRECT_URLS=`[
|
235 |
+
huggingchat://login/callback
|
236 |
+
]`
|