I'm constantly enhancing these model descriptions to provide you with the most relevant and comprehensive information

mpt-30b-v3 - GGUF

Model creator: iamplus
Original model: mpt-30b-v3

MPT-7b and MPT-30B are part of the family of Mosaic Pretrained Transformer (MPT) models, which use a modified transformer architecture optimized for efficient training and inference.

Brief

This is a finetuning of mpt-30-b by iamplus using the entire flan1m-GPT4 dataset. See details in the original README.md

About GGUF format

gguf is the current file format used by the ggml library. A growing list of Software is using it and can therefore use this model. The core project making use of the ggml library is the llama.cpp project by Georgi Gerganov

Quantization variants

There is a bunch of quantized files available to cater to your specific needs. Here's how to choose the best option for you:

Legacy quants

Q4_0, Q4_1, Q5_0, Q5_1 and Q8 are legacy quantization types. Nevertheless, they are fully supported, as there are several circumstances that cause certain model not to be compatible with the modern K-quants.

Note:

Now there's a new option to use K-quants even for previously 'incompatible' models, although this involves some fallback solution that makes them not real K-quants. More details can be found in affected model descriptions. (This mainly refers to Falcon 7b and Starcoder models)

K-quants

K-quants are designed with the idea that different levels of quantization in specific parts of the model can optimize performance, file size, and memory load. So, if possible, use K-quants. With a Q6_K, you'll likely find it challenging to discern a quality difference from the original model - ask your model two times the same question and you may encounter bigger quality differences.

Original Model Card:

Base Model : iamplus/mpt-30b-v2

Tool : MosaicML's llm-foundry (https://github.com/mosaicml/llm-foundry)

Dataset : Entire flan1m-GPT4 dataset

Config yaml with Model Params : https://huggingface.co/iamplus/mpt-30b-v3/blob/main/mpt-30b_orca.yaml

Description : mosaicml/mpt-30b -> Finetuning on (Entire flan3m-GPT3.5 dataset for 1 epoch) -> iamplus/mpt-30b-v2 -> Finetuning on (Entire flan1m-GPT4 dataset for 1 epoch) -> iamplus/mpt-30b-v3

Prompt Format :

<system>: [system prompt]

<human>: [question]

<bot>:

End of original Model File

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