Tabby organizes the model within a directory. This document provides an explanation of the necessary contents for supporting model serving. The minimal Tabby model directory should include the following contents:
ggml/
tabby.json
This file provides meta information about the model. An example file appears as follows:
{
"prompt_template": "<PRE>{prefix}<SUF>{suffix}<MID>",
"chat_template": "<s>{% for message in messages %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + '</s> ' }}{% endif %}{% endfor %}",
}The prompt_template field is optional. When present, it is assumed that the model supports FIM inference.
One example for the prompt_template is <PRE>{prefix}<SUF>{suffix}<MID>. In this format, {prefix} and {suffix} will be replaced with their corresponding values, and the entire prompt will be fed into the LLM.
The chat_template field is optional. When it is present, it is assumed that the model supports an instruct/chat-style interaction, and can be passed to --chat-model.
This directory contains binary files used by the llama.cpp inference engine. Tabby utilizes ggml for inference on cpu, cuda and metal devices.
Currently, only q8_0.v2.gguf (or, starting with 0.11, model.gguf) in this directory is in use. You can refer to the instructions in llama.cpp to learn how to acquire it.