metadata
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- llm-rs
- ggml
datasets:
- mc4
- c4
- togethercomputer/RedPajama-Data-1T
- bigcode/the-stack
- allenai/s2orc
inference: false
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:
Installation
git clone --recurse-submodules https://github.com/rustformers/llm.git
cd llm
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
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"