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--- |
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license: apache-2.0 |
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datasets: |
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- Locutusque/inst_mix_v2_top_100k |
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language: |
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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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```yaml |
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models: |
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- model: Felladrin/TinyMistral-248M-SFT-v4 |
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parameters: |
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weight: 0.5 |
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- model: Locutusque/TinyMistral-248M-Instruct |
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parameters: |
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weight: 1.0 |
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merge_method: linear |
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dtype: float16 |
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``` |
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The resulting model combines the best of both worlds. With Locutusque/TinyMistral-248M-Instruct's coding capabilities and reasoning skills, and Felladrin/TinyMistral-248M-SFT-v4's low hallucination and instruction-following capabilities. The resulting model has an incredible performance considering its size. |
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## Evaluation |
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Found in the Open LLM Leaderboard. |
