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/model.gguf
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 model.gguf in this directory is in use. You can refer to the instructions in llama.cpp to learn how to acquire it.