Update README.md

README.md

@@ -8,13 +8,14 @@ tags:
 
 This model was produced from a MPT-7B base model finetuned on the GSM8k dataset with pruning and quantization applied using [SparseGPT](https://arxiv.org/abs/2301.00774). Then it was exported for optimized inference with [DeepSparse](https://github.com/neuralmagic/deepsparse/tree/main/research/mpt).
 
-GSM8k zero-shot accuracy with [lm-evaluation-harness](https://github.com/neuralmagic/lm-evaluation-harness) : 30.33%
+GSM8k zero-shot accuracy with [lm-evaluation-harness](https://github.com/neuralmagic/lm-evaluation-harness) : 30.33% (dense fp32 is 28.2%)
 
 ### Usage
 
 ```python
 from deepsparse import TextGeneration
-model = TextGeneration(model="hf:neuralmagic/mpt-7b-gsm8k-pruned40-quant")
+model_path = "hf:neuralmagic/mpt-7b-gsm8k-pruned40-quant" # or use a sparsezoo stub (zoo:mpt-7b-gsm8k_mpt_pretrain-pruned40_quantized)
+model = TextGeneration(model=model_path)
 model("There are twice as many boys as girls at Dr. Wertz's school. If there are 60 girls and 5 students to every teacher, how many teachers are there?", max_new_tokens=50)
 ```