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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 | |