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# template used in production for HuggingChat. |
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MODELS=`[ |
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{ |
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"name" : "mistralai/Mixtral-8x7B-Instruct-v0.1", |
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"description" : "The latest MoE model from Mistral AI! 8x7B and outperforms Llama 2 70B in most benchmarks.", |
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"websiteUrl" : "https://mistral.ai/news/mixtral-of-experts/", |
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"preprompt" : "", |
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"chatPromptTemplate": "<s> {{#each messages}}{{#ifUser}}[INST]{{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}} {{content}} [/INST]{{/ifUser}}{{#ifAssistant}} {{content}}</s> {{/ifAssistant}}{{/each}}", |
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"parameters" : { |
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"temperature" : 0.6, |
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"top_p" : 0.95, |
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"repetition_penalty" : 1.2, |
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"top_k" : 50, |
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"truncate" : 24576, |
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"max_new_tokens" : 8192, |
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"stop" : ["</s>"] |
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}, |
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"promptExamples" : [ |
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{ |
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"title": "Write an email from bullet list", |
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"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)" |
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}, { |
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"title": "Code a snake game", |
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"prompt": "Code a basic snake game in python, give explanations for each step." |
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}, { |
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"title": "Assist in a task", |
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"prompt": "How do I make a delicious lemon cheesecake?" |
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} |
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] |
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}, |
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{ |
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"name": "meta-llama/Llama-2-70b-chat-hf", |
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"description": "The latest and biggest model from Meta, fine-tuned for chat.", |
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"websiteUrl": "https://ai.meta.com/llama/", |
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"userMessageToken": "", |
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"userMessageEndToken": " [/INST] ", |
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"assistantMessageToken": "", |
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"assistantMessageEndToken": " </s><s>[INST] ", |
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"preprompt": " ", |
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"chatPromptTemplate" : "<s>[INST] <<SYS>>\n{{preprompt}}\n<</SYS>>\n\n{{#each messages}}{{#ifUser}}{{content}} [/INST] {{/ifUser}}{{#ifAssistant}}{{content}} </s><s>[INST] {{/ifAssistant}}{{/each}}", |
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"promptExamples": [ |
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{ |
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"title": "Write an email from bullet list", |
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"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)" |
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}, { |
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"title": "Code a snake game", |
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"prompt": "Code a basic snake game in python, give explanations for each step." |
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}, { |
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"title": "Assist in a task", |
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"prompt": "How do I make a delicious lemon cheesecake?" |
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} |
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], |
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"parameters": { |
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"temperature": 0.1, |
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"top_p": 0.95, |
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"repetition_penalty": 1.2, |
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"top_k": 50, |
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"truncate": 3072, |
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"max_new_tokens": 1024 |
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} |
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}, |
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{ |
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"name": "codellama/CodeLlama-34b-Instruct-hf", |
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"displayName": "codellama/CodeLlama-34b-Instruct-hf", |
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"description": "Code Llama, a state of the art code model from Meta.", |
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"websiteUrl": "https://about.fb.com/news/2023/08/code-llama-ai-for-coding/", |
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"userMessageToken": "", |
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"userMessageEndToken": " [/INST] ", |
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"assistantMessageToken": "", |
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"assistantMessageEndToken": " </s><s>[INST] ", |
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"preprompt": " ", |
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"chatPromptTemplate" : "<s>[INST] <<SYS>>\n{{preprompt}}\n<</SYS>>\n\n{{#each messages}}{{#ifUser}}{{content}} [/INST] {{/ifUser}}{{#ifAssistant}}{{content}} </s><s>[INST] {{/ifAssistant}}{{/each}}", |
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"promptExamples": [ |
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{ |
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"title": "Fibonacci in Python", |
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"prompt": "Write a python function to calculate the nth fibonacci number." |
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}, { |
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"title": "JavaScript promises", |
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"prompt": "How can I wait for multiple JavaScript promises to fulfill before doing something with their values?" |
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}, { |
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"title": "Rust filesystem", |
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"prompt": "How can I load a file from disk in Rust?" |
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} |
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], |
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"parameters": { |
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"temperature": 0.1, |
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"top_p": 0.95, |
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"repetition_penalty": 1.2, |
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"top_k": 50, |
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"truncate": 4096, |
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"max_new_tokens": 4096 |
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} |
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}, |
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{ |
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"name": "mistralai/Mistral-7B-Instruct-v0.1", |
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"displayName": "mistralai/Mistral-7B-Instruct-v0.1", |
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"description": "Mistral 7B is a new Apache 2.0 model, released by Mistral AI that outperforms Llama2 13B in benchmarks.", |
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"websiteUrl": "https://mistral.ai/news/announcing-mistral-7b/", |
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"preprompt": "", |
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"chatPromptTemplate" : "<s>{{#each messages}}{{#ifUser}}[INST] {{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}}{{content}} [/INST]{{/ifUser}}{{#ifAssistant}}{{content}}</s>{{/ifAssistant}}{{/each}}", |
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"parameters": { |
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"temperature": 0.1, |
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"top_p": 0.95, |
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"repetition_penalty": 1.2, |
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"top_k": 50, |
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"truncate": 3072, |
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"max_new_tokens": 1024, |
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"stop": ["</s>"] |
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}, |
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"promptExamples": [ |
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{ |
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"title": "Write an email from bullet list", |
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"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)" |
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}, { |
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"title": "Code a snake game", |
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"prompt": "Code a basic snake game in python, give explanations for each step." |
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}, { |
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"title": "Assist in a task", |
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"prompt": "How do I make a delicious lemon cheesecake?" |
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} |
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], |
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"unlisted": true |
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}, |
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{ |
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"name": "mistralai/Mistral-7B-Instruct-v0.2", |
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"displayName": "mistralai/Mistral-7B-Instruct-v0.2", |
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"description": "Mistral 7B is a new Apache 2.0 model, released by Mistral AI that outperforms Llama2 13B in benchmarks.", |
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"websiteUrl": "https://mistral.ai/news/announcing-mistral-7b/", |
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"preprompt": "", |
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"chatPromptTemplate" : "<s>{{#each messages}}{{#ifUser}}[INST] {{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}}{{content}} [/INST]{{/ifUser}}{{#ifAssistant}}{{content}}</s>{{/ifAssistant}}{{/each}}", |
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"parameters": { |
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"temperature": 0.3, |
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"top_p": 0.95, |
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"repetition_penalty": 1.2, |
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"top_k": 50, |
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"truncate": 3072, |
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"max_new_tokens": 1024, |
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"stop": ["</s>"] |
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}, |
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"promptExamples": [ |
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{ |
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"title": "Write an email from bullet list", |
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"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)" |
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}, { |
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"title": "Code a snake game", |
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"prompt": "Code a basic snake game in python, give explanations for each step." |
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}, { |
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"title": "Assist in a task", |
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"prompt": "How do I make a delicious lemon cheesecake?" |
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} |
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] |
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}, |
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{ |
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"name": "openchat/openchat-3.5-0106", |
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"displayName": "openchat/openchat-3.5-0106", |
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"description": "OpenChat 3.5 is the #1 model on MT-Bench, with only 7B parameters.", |
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"websiteUrl": "https://huggingface.co/openchat/openchat-3.5-0106", |
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"preprompt": "", |
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"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}}", |
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"parameters": { |
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"temperature": 0.6, |
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"top_p": 0.95, |
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"repetition_penalty": 1.2, |
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"top_k": 50, |
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"truncate": 6016, |
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"max_new_tokens": 2048, |
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"stop": ["<|end_of_turn|>"] |
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}, |
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"promptExamples": [ |
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{ |
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"title": "Write an email from bullet list", |
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"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)" |
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}, { |
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"title": "Code a snake game", |
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"prompt": "Code a basic snake game in python, give explanations for each step." |
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}, { |
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"title": "Assist in a task", |
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"prompt": "How do I make a delicious lemon cheesecake?" |
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} |
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] |
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} |
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]` |
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OLD_MODELS=`[ |
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{"name":"bigcode/starcoder"}, |
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{"name":"OpenAssistant/oasst-sft-6-llama-30b-xor"}, |
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{"name":"HuggingFaceH4/zephyr-7b-alpha"}, |
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{"name":"openchat/openchat_3.5"}, |
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{"name":"openchat/openchat-3.5-1210"}, |
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{"name": "tiiuae/falcon-180B-chat"} |
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]` |
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TASK_MODEL='mistralai/Mistral-7B-Instruct-v0.2' |
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# TASK_MODEL=`{ |
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# "name": "mistralai/Mistral-7B-Instruct-v0.2", |
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# "chatPromptTemplate" : "<s>{{#each messages}}{{#ifUser}}[INST] {{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}}{{content}} [/INST]{{/ifUser}}{{#ifAssistant}}{{content}}</s>{{/ifAssistant}}{{/each}}", |
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# "parameters": { |
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# "temperature": 0.1, |
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# "top_p": 0.95, |
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# "repetition_penalty": 1.2, |
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# "top_k": 50, |
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# "truncate": 3072, |
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# "max_new_tokens": 1024, |
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# "stop": ["</s>"] |
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# }}` |
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APP_BASE="/chat" |
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PUBLIC_ORIGIN=https://huggingface.co |
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PUBLIC_SHARE_PREFIX=https://hf.co/chat |
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PUBLIC_ANNOUNCEMENT_BANNERS=`[]` |
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PUBLIC_APP_NAME=HuggingChat |
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PUBLIC_APP_ASSETS=huggingchat |
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PUBLIC_APP_COLOR=yellow |
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PUBLIC_APP_DESCRIPTION="Making the community's best AI chat models available to everyone." |
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PUBLIC_APP_DATA_SHARING=1 |
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PUBLIC_APP_DISCLAIMER=1 |
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RATE_LIMIT=16 |
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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 |
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PUBLIC_GOOGLE_ANALYTICS_ID=G-8Q63TH4CSL |
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# Not part of the .env but set as other variables in the space |
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# ADDRESS_HEADER=X-Forwarded-For |
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# XFF_DEPTH=2 |
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