Locutusque/inst_mix_v2_top_100k language:
en pipeline_tag: text-generation widget:
text: >- <|USER|> Design a Neo4j database and Cypher function snippet to Display Extreme Dental hygiene: Using Mouthwash for Analysis for Beginners. Implement if/else or switch/case statements to handle different conditions related to the Consent. Provide detailed comments explaining your control flow and the reasoning behind each decision. <|ASSISTANT|>
text: '<|USER|> Write me a story about a magical place. <|ASSISTANT|> '
text: >- <|USER|> Write me an essay about the life of George Washington <|ASSISTANT|>
text: '<|USER|> Solve the following equation 2x + 10 = 20 <|ASSISTANT|> '
text: >- <|USER|> Craft me a list of some nice places to visit around the world. <|ASSISTANT|>
text: >- <|USER|> How to manage a lazy employee: Address the employee verbally. Don't allow an employee's laziness or lack of enthusiasm to become a recurring issue. Tell the employee you're hoping to speak with them about workplace expectations and performance, and schedule a time to sit down together. Question: To manage a lazy employee, it is suggested to talk to the employee. True, False, or Neither? <|ASSISTANT|> inference: parameters: temperature: 0.5 do_sample: true top_p: 0.5 top_k: 30 max_new_tokens: 250 repetition_penalty: 1.15 tags:
merge

LocutusqueXFelladrin-TinyMistral248M-Instruct

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:

yaml

models:
  - model: Felladrin/TinyMistral-248M-SFT-v4
    parameters:
      weight: 0.5
  - model: Locutusque/TinyMistral-248M-Instruct
    parameters:
      weight: 1.0
merge_method: linear
dtype: float16

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.

Evaluation

Found in the Open LLM Leaderboard.

RichardErkhov/Locutusque_-_LocutusqueXFelladrin-TinyMistral248M-Instruct-awq

Original model description:

LocutusqueXFelladrin-TinyMistral248M-Instruct

Evaluation

RichardErkhov/
Locutusque_-_LocutusqueXFelladrin-TinyMistral248M-Instruct-awq