mpt-7b-gsm8k-pt

RedHatAI/mpt-7b-gsm8k-pt

mpt-7b-gsm8k-pt is a text generation model from RedHatAI. Use it when you need the model to write or continue text. It is set up for transformers.

Paper: Sparse Finetuning for Inference Acceleration of Large Language Models Code: https://github.com/neuralmagic/deepsparse/tree/main/research/mpt

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At a glance

Task: Text Generation
Library: transformers
Model type: mpt
Access: Public
Created: Oct 3, 2023
Updated: Oct 12, 2023
SHA: a2541e99

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Datasets

gsm8k

Model card

From the Hugging Face model README

mpt-7b-gsm8k

Paper: Sparse Finetuning for Inference Acceleration of Large Language Models
Code: https://github.com/neuralmagic/deepsparse/tree/main/research/mpt

This model was produced from a MPT-7B base model finetuned on the GSM8k dataset for 2 epochs and contains the original PyTorch weights.

GSM8k zero-shot accuracy with lm-evaluation-harness : 28.2%

All MPT model weights are available on SparseZoo and CPU speedup for generative inference can be reproduced by following the instructions at DeepSparse

Model Links	Compression
neuralmagic/mpt-7b-gsm8k-quant	Quantization (W8A8)
neuralmagic/mpt-7b-gsm8k-pruned40-quant	Quantization (W8A8) & 40% Pruning
neuralmagic/mpt-7b-gsm8k-pruned50-quant	Quantization (W8A8) & 50% Pruning
neuralmagic/mpt-7b-gsm8k-pruned60-quant	Quantization (W8A8) & 60% Pruning
neuralmagic/mpt-7b-gsm8k-pruned70-quant	Quantization (W8A8) & 70% Pruning
neuralmagic/mpt-7b-gsm8k-pruned70-quant	Quantization (W8A8) & 75% Pruning
neuralmagic/mpt-7b-gsm8k-pruned80-quant	Quantization (W8A8) & 80% Pruning

For general questions on these models and sparsification methods, reach out to the engineering team on our community Slack.

Task: Text Generation
Library: transformers
Type: mpt
Created: Oct 3, 2023
Updated: Oct 12, 2023