Locutusque
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README.md
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pipeline_tag: text-generation
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widget:
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inference:
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parameters:
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temperature: 0.5
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do_sample:
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top_p: 0.5
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top_k: 30
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max_new_tokens: 250
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repetition_penalty: 1.15
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---
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# LocutusqueXFelladrin-TinyMistral248M-Instruct
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This model was created by merging Locutusque/TinyMistral-248M-Instruct and Felladrin/TinyMistral-248M-SFT-v4 using mergekit. After the two models were merged, the resulting model was further trained on ~20,000 examples on the Locutusque/inst_mix_v2_top_100k at a low learning rate to further normalize weights. The following is the YAML config used to merge:
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- en
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pipeline_tag: text-generation
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widget:
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- text: >-
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<|USER|> Design a Neo4j database and Cypher function snippet to Display
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Extreme Dental hygiene: Using Mouthwash for Analysis for Beginners.
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Implement if/else or switch/case statements to handle different conditions
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related to the Consent. Provide detailed comments explaining your control
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flow and the reasoning behind each decision. <|ASSISTANT|>
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- text: '<|USER|> Write me a story about a magical place. <|ASSISTANT|> '
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- text: >-
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<|USER|> Write me an essay about the life of George Washington
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<|ASSISTANT|>
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- text: '<|USER|> Solve the following equation 2x + 10 = 20 <|ASSISTANT|> '
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- text: >-
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<|USER|> Craft me a list of some nice places to visit around the world.
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<|ASSISTANT|>
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- text: >-
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<|USER|> How to manage a lazy employee: Address the employee verbally. Don't
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allow an employee's laziness or lack of enthusiasm to become a recurring
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issue. Tell the employee you're hoping to speak with them about workplace
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expectations and performance, and schedule a time to sit down together.
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Question: To manage a lazy employee, it is suggested to talk to the
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employee. True, False, or Neither? <|ASSISTANT|>
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inference:
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parameters:
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temperature: 0.5
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do_sample: true
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top_p: 0.5
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top_k: 30
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max_new_tokens: 250
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repetition_penalty: 1.15
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tags:
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- merge
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---
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# LocutusqueXFelladrin-TinyMistral248M-Instruct
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This model was created by merging Locutusque/TinyMistral-248M-Instruct and Felladrin/TinyMistral-248M-SFT-v4 using mergekit. After the two models were merged, the resulting model was further trained on ~20,000 examples on the Locutusque/inst_mix_v2_top_100k at a low learning rate to further normalize weights. The following is the YAML config used to merge:
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