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# template used in production for HuggingChat.
MODELS=`[
{
"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/",
"userMessageToken": "",
"userMessageEndToken": " [/INST] ",
"assistantMessageToken": "",
"assistantMessageEndToken": " </s><s>[INST] ",
"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
}
},
{
"name": "codellama/CodeLlama-34b-Instruct-hf",
"displayName": "codellama/CodeLlama-34b-Instruct-hf",
"description": "Code Llama, a state of the art code model from Meta.",
"websiteUrl": "https://about.fb.com/news/2023/08/code-llama-ai-for-coding/",
"userMessageToken": "",
"userMessageEndToken": " [/INST] ",
"assistantMessageToken": "",
"assistantMessageEndToken": " </s><s>[INST] ",
"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": "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
}
},
{
"name": "tiiuae/falcon-180B-chat",
"displayName": "tiiuae/falcon-180B-chat",
"description": "Falcon-180B is a 180B parameters causal decoder-only model built by TII and trained on 3,500B tokens.",
"websiteUrl": "https://www.tii.ae/news/technology-innovation-institute-introduces-worlds-most-powerful-open-llm-falcon-180b",
"preprompt": " ",
"chatPromptTemplate": "System: {{preprompt}}\nUser:{{#each messages}}{{#ifUser}}{{content}}\nFalcon:{{/ifUser}}{{#ifAssistant}}{{content}}\nUser:{{/ifAssistant}}{{/each}}",
"parameters": {
"temperature": 0.1,
"top_p": 0.95,
"repetition_penalty": 1.2,
"top_k": 50,
"truncate": 1024,
"max_new_tokens": 1024,
"stop": ["User:"]
},
"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": "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",
"displayName": "openchat/openchat_3.5",
"description": "OpenChat 3.5 is the #1 model on MT-Bench, with only 7B parameters.",
"websiteUrl": "https://huggingface.co/openchat/openchat_3.5",
"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?"
}
]
},
{
"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?"
}
]
}
]`
OLD_MODELS=`[{"name":"bigcode/starcoder"}, {"name":"OpenAssistant/oasst-sft-6-llama-30b-xor"}, {"name":"HuggingFaceH4/zephyr-7b-alpha"}]`
TASK_MODEL='mistralai/Mistral-7B-Instruct-v0.2'
# TASK_MODEL=`{
# "name": "mistralai/Mistral-7B-Instruct-v0.2",
# "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>"]
# }}`
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_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
# Not part of the .env but set as other variables in the space
# ADDRESS_HEADER=X-Forwarded-For
# XFF_DEPTH=2
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