File size: 10,508 Bytes
22d7b97
 
 
aab7222
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
39fde06
22d7b97
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
118aa57
77399ca
e6addfc
22d7b97
39fde06
50e0ab9
 
 
 
06ebcc8
50e0ab9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9b5d65a
 
50e0ab9
 
 
39fde06
a8ca669
 
 
 
 
 
22d7b97
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
118aa57
77399ca
a8ca669
22d7b97
 
 
9187ced
 
 
 
22d7b97
9187ced
22d7b97
9187ced
22d7b97
 
 
118aa57
 
9187ced
22d7b97
4f3a64f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6022aed
4f3a64f
 
 
 
 
 
 
22d7b97
39fde06
0e5c445
39fde06
 
 
 
 
 
 
 
 
118aa57
 
26e028a
 
118aa57
26e028a
118aa57
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4846e0f
 
 
 
 
118aa57
22d7b97
 
9b99c58
 
 
 
884fe73
26e028a
a8ca669
 
884fe73
9187ced
5acc9fa
9187ced
22d7b97
 
 
59bfb21
22d7b97
 
 
 
830b0b6
73a5c0d
22d7b97
 
 
 
5c9a37f
22d7b97
1ae93cf
dddb85f
1ae93cf
22d7b97
 
6022aed
c30d191
992a8de
9405754
3890de7
 
 
 
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
# template used in production for HuggingChat.

MODELS=`[
    {
    "name" : "mistralai/Mixtral-8x7B-Instruct-v0.1",
    "description" : "The latest MoE model from Mistral AI! 8x7B and outperforms Llama 2 70B in most benchmarks.",
    "websiteUrl" : "https://mistral.ai/news/mixtral-of-experts/",
    "preprompt" : "",
    "chatPromptTemplate": "<s> {{#each messages}}{{#ifUser}}[INST]{{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}} {{content}} [/INST]{{/ifUser}}{{#ifAssistant}} {{content}}</s> {{/ifAssistant}}{{/each}}",
    "parameters" : {
      "temperature" : 0.6,
      "top_p" : 0.95,
      "repetition_penalty" : 1.2,
      "top_k" : 50,
      "truncate" : 24576,
      "max_new_tokens" : 8192,
      "stop" : ["</s>"]
    },
    "promptExamples" : [
      {
        "title": "Write an email from bullet list",
        "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)"
      }, {
        "title": "Code a snake game",
        "prompt": "Code a basic snake game in python, give explanations for each step."
      }, {
        "title": "Assist in a task",
        "prompt": "How do I make a delicious lemon cheesecake?"
      }
    ]
  },
    {
      "name": "meta-llama/Llama-2-70b-chat-hf",
      "description": "The latest and biggest model from Meta, fine-tuned for chat.",
      "websiteUrl": "https://ai.meta.com/llama/",
      "preprompt": " ",
      "chatPromptTemplate" : "<s>[INST] <<SYS>>\n{{preprompt}}\n<</SYS>>\n\n{{#each messages}}{{#ifUser}}{{content}} [/INST] {{/ifUser}}{{#ifAssistant}}{{content}} </s><s>[INST] {{/ifAssistant}}{{/each}}",
      "promptExamples": [
        {
          "title": "Write an email from bullet list",
          "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)"
        }, {
          "title": "Code a snake game",
          "prompt": "Code a basic snake game in python, give explanations for each step."
        }, {
          "title": "Assist in a task",
          "prompt": "How do I make a delicious lemon cheesecake?"
        }
      ],
      "parameters": {
        "temperature": 0.1,
        "top_p": 0.95,
        "repetition_penalty": 1.2,
        "top_k": 50,
        "truncate": 3072,
        "max_new_tokens": 1024,
        "stop" : ["</s>", "</s><s>[INST]"]
      }
    },
    {
      "name" : "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
      "description" : "Nous Hermes 2 Mixtral 8x7B DPO is the new flagship Nous Research model trained over the Mixtral 8x7B MoE LLM.",
      "websiteUrl" : "https://nousresearch.com/",
      "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}}",
      "promptExamples": [
        {
          "title": "Write an email from bullet list",
          "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)"
        }, {
          "title": "Code a snake game",
          "prompt": "Code a basic snake game in python, give explanations for each step."
        }, {
          "title": "Assist in a task",
          "prompt": "How do I make a delicious lemon cheesecake?"
        }
      ],
      "parameters": {
        "temperature": 0.7,
        "top_p": 0.95,
        "repetition_penalty": 1,
        "top_k": 50,
        "truncate": 24576,
        "max_new_tokens": 2048,
        "stop": ["<|im_end|>"]
      }
    },
    {
      "name": "codellama/CodeLlama-70b-Instruct-hf",
      "displayName": "codellama/CodeLlama-70b-Instruct-hf",
      "description": "Code Llama, a state of the art code model from Meta. Now in 70B!",
      "websiteUrl": "https://ai.meta.com/blog/code-llama-large-language-model-coding/",
      "preprompt": "",
      "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 ",
      "promptExamples": [
        {
          "title": "Fibonacci in Python",
          "prompt": "Write a python function to calculate the nth fibonacci number."
        }, {
          "title": "JavaScript promises",
          "prompt": "How can I wait for multiple JavaScript promises to fulfill before doing something with their values?"
        }, {
          "title": "Rust filesystem",
          "prompt": "How can I load a file from disk in Rust?"
        }
      ],
      "parameters": {
        "temperature": 0.1,
        "top_p": 0.95,
        "repetition_penalty": 1.2,
        "top_k": 50,
        "truncate": 4096,
        "max_new_tokens": 4096,
        "stop": ["<step>", " <step>", " <step> "],
      }
      },
    {
      "name": "mistralai/Mistral-7B-Instruct-v0.1",
      "displayName": "mistralai/Mistral-7B-Instruct-v0.1",
      "description": "Mistral 7B is a new Apache 2.0 model, released by Mistral AI that outperforms Llama2 13B in benchmarks.",
      "websiteUrl": "https://mistral.ai/news/announcing-mistral-7b/",
      "preprompt": "",
      "chatPromptTemplate" : "<s>{{#each messages}}{{#ifUser}}[INST] {{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}}{{content}} [/INST]{{/ifUser}}{{#ifAssistant}}{{content}}</s>{{/ifAssistant}}{{/each}}",
      "parameters": {
        "temperature": 0.1,
        "top_p": 0.95,
        "repetition_penalty": 1.2,
        "top_k": 50,
        "truncate": 3072,
        "max_new_tokens": 1024,
        "stop": ["</s>"]
      },
      "promptExamples": [
        {
          "title": "Write an email from bullet list",
          "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)"
        }, {
          "title": "Code a snake game",
          "prompt": "Code a basic snake game in python, give explanations for each step."
        }, {
          "title": "Assist in a task",
          "prompt": "How do I make a delicious lemon cheesecake?"
        }
      ],
      "unlisted": true
    },
        {
      "name": "mistralai/Mistral-7B-Instruct-v0.2",
      "displayName": "mistralai/Mistral-7B-Instruct-v0.2",
      "description": "Mistral 7B is a new Apache 2.0 model, released by Mistral AI that outperforms Llama2 13B in benchmarks.",
      "websiteUrl": "https://mistral.ai/news/announcing-mistral-7b/",
      "preprompt": "",
      "chatPromptTemplate" : "<s>{{#each messages}}{{#ifUser}}[INST] {{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}}{{content}} [/INST]{{/ifUser}}{{#ifAssistant}}{{content}}</s>{{/ifAssistant}}{{/each}}",
      "parameters": {
        "temperature": 0.3,
        "top_p": 0.95,
        "repetition_penalty": 1.2,
        "top_k": 50,
        "truncate": 3072,
        "max_new_tokens": 1024,
        "stop": ["</s>"]
      },
      "promptExamples": [
        {
          "title": "Write an email from bullet list",
          "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)"
        }, {
          "title": "Code a snake game",
          "prompt": "Code a basic snake game in python, give explanations for each step."
        }, {
          "title": "Assist in a task",
          "prompt": "How do I make a delicious lemon cheesecake?"
        }
      ]
    },
      {
    "name": "openchat/openchat-3.5-0106",
    "displayName": "openchat/openchat-3.5-0106",
    "description": "OpenChat 3.5 is the #1 model on MT-Bench, with only 7B parameters.",
    "websiteUrl": "https://huggingface.co/openchat/openchat-3.5-0106",
    "preprompt": "",
    "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}}",
    "parameters": {
      "temperature": 0.6,
      "top_p": 0.95,
      "repetition_penalty": 1.2,
      "top_k": 50,
      "truncate": 6016,
      "max_new_tokens": 2048,
      "stop": ["<|end_of_turn|>"]
    },
    "promptExamples": [
      {
        "title": "Write an email from bullet list",
        "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)"
      }, {
        "title": "Code a snake game",
        "prompt": "Code a basic snake game in python, give explanations for each step."
      }, {
        "title": "Assist in a task",
        "prompt": "How do I make a delicious lemon cheesecake?"
      }
    ]
  }
]`

OLD_MODELS=`[
  {"name":"bigcode/starcoder"},
  {"name":"OpenAssistant/oasst-sft-6-llama-30b-xor"},
  {"name":"HuggingFaceH4/zephyr-7b-alpha"},
  {"name":"openchat/openchat_3.5"},
  {"name":"openchat/openchat-3.5-1210"},
  {"name": "tiiuae/falcon-180B-chat"},
  {"name": "codellama/CodeLlama-34b-Instruct-hf"}
]`

TASK_MODEL='mistralai/Mistral-7B-Instruct-v0.1'

APP_BASE="/chat"
PUBLIC_ORIGIN=https://huggingface.co
PUBLIC_SHARE_PREFIX=https://hf.co/chat
PUBLIC_ANNOUNCEMENT_BANNERS=`[]`

PUBLIC_APP_NAME=HuggingChat
PUBLIC_APP_ASSETS=huggingchat
PUBLIC_APP_COLOR=yellow
PUBLIC_APP_DESCRIPTION="Making the community's best AI chat models available to everyone."
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."
PUBLIC_APP_DATA_SHARING=1
PUBLIC_APP_DISCLAIMER=1

RATE_LIMIT=16
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

PUBLIC_GOOGLE_ANALYTICS_ID=G-8Q63TH4CSL
PUBLIC_PLAUSIBLE_SCRIPT_URL="/js/script.js"

# Not part of the .env but set as other variables in the space
# ADDRESS_HEADER=X-Forwarded-For
# XFF_DEPTH=2

ENABLE_ASSISTANTS=true
EXPOSE_API=true

ALTERNATIVE_REDIRECT_URLS=`[
  huggingchat://login/callback
]`