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metadata
license: apache-2.0
language:
  - en
pipeline_tag: text-generation
tags:
  - llm
  - ggml

GGML converted versions of Mosaic's MPT Models

MPT-7B is a decoder-style transformer pretrained from scratch on 1T tokens of English text and code. This model was trained by MosaicML.

MPT-7B is part of the family of MosaicPretrainedTransformer (MPT) models, which use a modified transformer architecture optimized for efficient training and inference.

Converted Models:

⚠️Caution⚠️: mpt-7b-storywriter is still under development!

Usage

Python via llm-rs:

Installation

Via pip: pip install llm-rs

Run inference

from llm_rs import AutoModel

#Load the model, define any model you like from the list above as the `model_file`
model = AutoModel.from_pretrained("Rustformers/mpt-7b-ggml",model_file="mpt-7b-q4_0-ggjt.bin")

#Generate
print(model.generate("The meaning of life is"))

### Rust via [Rustformers/llm](https://github.com/rustformers/llm): 

#### Installation

git clone --recurse-submodules git@github.com:rustformers/llm.git cargo build --release


#### Run inference

cargo run --release -- mpt infer -m path/to/model.bin -p "Tell me how cool the Rust programming language is:"


### C via [GGML](https://github.com/ggerganov/ggml)
The `GGML` example only supports the ggml container type!

#### Installation

git clone https://github.com/ggerganov/ggml cd ggml mkdir build && cd build cmake .. make -j4 mpt


#### Run inference

./bin/mpt -m path/to/model.bin -p "The meaning of life is" ```