RedHatAI/mpt-7b-gsm8k-quant-ds
By RedHatAI · ↓ 3 · ♥ 1 · Updated 2023-10-18
What's in this repo
This page lists the files in RedHatAI/mpt-7b-gsm8k-quant-ds, including model-orig.onnx, model.onnx.
- 2 ONNX models (.onnx files)
- 9 files, including 4 .json, 2 .onnx, 1 .md, 1 .data
- Last updated 2023-10-18
ONNX files
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
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 quantized.
GSM8k zero-shot accuracy with lm-evaluation-harness : 27.8%
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.
Model info
Created: 2023-10-10
Updated: 2023-10-18
View on Hugging Face