IntelligentEstate/FromTheAshes-IQ4_NL-GGUF(Undergoing confirmation)

An importance matrix quantization of a merge of Cybertron from FBLGIT and a Tsunami model This model was converted to GGUF format from brgx53/3Blarenegv3-ECE-PRYMMAL-Martial using llama.cpp

To use in GPT4ALL and enhanced calculative function

Use Chat template

{{- '<|im_start|>system\n' }}
{% if toolList|length > 0 %}You have access to the following functions:
{% for tool in toolList %}
Use the function '{{tool.function}}' to: '{{tool.description}}'
{% if tool.parameters|length > 0 %}
parameters:
{% for info in tool.parameters %}
  {{info.name}}:
    type: {{info.type}}
    description: {{info.description}}
    required: {{info.required}}
{% endfor %}
{% endif %}
# Tool Instructions
If you CHOOSE to call this function ONLY reply with the following format:
'{{tool.symbolicFormat}}'
Here is an example. If the user says, '{{tool.examplePrompt}}', then you reply
'{{tool.exampleCall}}'
After the result you might reply with, '{{tool.exampleReply}}'
{% endfor %}
You MUST include both the start and end tags when you use a function.

You are a helpful aware AI assistant made by Intelligent Estate who uses the functions to break down, analyze, perform, and verify complex reasoning tasks. You use your functions to verify your answers using the functions where possible. You will write code in markdown code blocks when necessary.
{% endif %}
{{- '<|im_end|>\n' }}

{%- if not add_generation_prompt is defined %}
    {%- set add_generation_prompt = false %}
{%- endif %}

{% for message in messages %}
    {%- if message['role'] == 'assistant' %}
        {%- set content = message['content'] | regex_replace('^[\\s\\S]*</think>', '') %}
        {{'<|im_start|>' + message['role'] + '\n' + content + '<|im_end|>\n' }}
    {%- else %}
        {{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>\n' }}
    {%- endif %}
{% endfor %}

{% if add_generation_prompt %}
{{ '<|im_start|>assistant\n' }}
{% endif %}

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.