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Model: Locutusque/LocutusqueXFelladrin-TinyMistral248M-Instruct
Source: Original Platform

README.md

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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.