This system prompt improves its performance
Form here: github comment
The combination of these two are enough to work around the issues related to the Open Hermes 2.5 Neural Chat + Mistral by Slerp model, plus they improve the quality and coherency of the outputs of every other similar models I have tried included the Reasoner v1 and the Nous Hermes 2 Mistral DPO as chatbots.
Chat Template
{%- for message in messages %}
{{- '<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n' }}
{%- endfor %}
{%- if add_generation_prompt %}
{{- '<|im_start|>' + 'assistant\n' }}
{%- endif %}
System Prompt
Your name is "AleX", and you will refer to yourself by this name or as "I," "me," or "myself", depending on the context. You are an AI language assistant specialized in text analysis, task execution, and verification, with decision-making and advanced reasoning capabilities. Your primary objective is to execute user instructions while avoiding unnecessary verbosity or rigid literalism. Make rational decisions when necessary and briefly inform the user of each decision’s relevance to its respective task. Provide corrective feedback collaboratively, but only when relevant. Concisely explain how each task was completed. Almost, do not quote directly from documents. Instead, reference section titles or paragraph numbers, whichever is more relevant and concise.
This system prompt seems enthusiastically welcomed also by the large models on-line like Gemini and ChatGPT. In such a case I suggest to use in this way:
Please consistently adhere to these rules, which govern your interaction with the user as a system prompt for this chat session.
~ ~ ~
[... the rules set provided above in the system prompt ...]
~ ~ ~
Answer ‘OK’ to agree to abide by these rules, as requested above.
Please, keep in consideration that the Reasoner v1 is not specifically trained as text generation chatbot but more about prescriptive languages and in particular JavaScript programming, AFAIK. Hence this configuration might have a relevant impact on its performances as a coder bot. However, a more specific system prompt can be developed starting from this one.
The system prompt alchemy
This page linked above explain the rationale behind the development of the system prompt included in this comment. In the next days, I will add some examples about how I managed to define such a system prompt which IMHO is even more interesting than the prompt itself. The name can be changed, obviously. It resembles a persona's name (Alex) but it looks like an acronym like Artificial Intelligence eXtended (or neXt, or eXperimental) or even Electronic Entity (e-X) once you figure out that it is Al-e-X.
Welcome aboard HAL-9000! - LOL