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Add NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO (#700)
Browse files- .env.template +27 -0
- PROMPTS.md +6 -0
.env.template
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@@ -60,6 +60,33 @@ MODELS=`[
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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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"max_new_tokens": 1024
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}
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},
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{
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"name" : "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
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"description" : "Nous Hermes 2 Mixtral 8x7B DPO is the new flagship Nous Research model trained over the Mixtral 8x7B MoE LLM.",
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"websiteUrl" : "https://nousresearch.com/",
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"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}}",
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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": 0.7,
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"top_p": 0.95,
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"repetition_penalty": 1,
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"top_k": 50,
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"truncate": 3072,
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"max_new_tokens": 512,
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"stop": ["<|im_end|>"]
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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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PROMPTS.md
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@@ -49,3 +49,9 @@ System: {{preprompt}}\nUser:{{#each messages}}{{#ifUser}}{{content}}\nFalcon:{{/
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```env
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<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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```
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```env
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<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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```
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## ChatML
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```env
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<|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}}
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```
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