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---
license: apache-2.0
datasets:
- 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. |