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File size: 4,334 Bytes
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import gradio as gr
def greet(name):
return "Hello " + name + "!!"
iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()
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/",
"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,
"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" : "<|im_start|>system\n{{#if @root.preprompt}}{{@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-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",
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