Update README.md

README.md

@@ -15,7 +15,7 @@ Only non-shared experts within transformer blocks are compressed. Weights are qu
 
 Model checkpoint is saved in [compressed_tensors](https://github.com/neuralmagic/compressed-tensors) format.
 
-| Models | Experts Quantized | Attention blocks quantized | Size (Gb) |
+| Models | Experts Quantized | Attention blocks quantized | Size (GB) |
 | ------ |  --------- | --------- | --------- |
 | [deepseek-ai/DeepSeek-R1](https://huggingface.co/deepseek-ai/DeepSeek-R1) | ❌ | ❌  | 671 GB |
 | [ISTA-DASLab/DeepSeek-R1-GPTQ-4b-128g-experts](https://huggingface.co/ISTA-DASLab/DeepSeek-R1-GPTQ-4b-128g-experts) | ✅  | ❌  | 346 GB |
@@ -32,7 +32,7 @@ For reasoning tasks we estimate pass@1 based on 10 runs with different seeds and
 #### OpenLLM Leaderboard V1 tasks 
 
 |                                              | Recovery (%) | Average Score | ARC-Challenge<br>acc_norm, 25-shot | GSM8k<br>exact_match, 5-shot | HellaSwag<br>acc_norm, 10-shot | MMLU<br>acc, 5-shot | TruthfulQA<br>mc2, 0-shot | WinoGrande<br>acc, 5-shot |
-| :------------------------------------------: | :----------: | :-----------: | :--------------------------------: | :--------------------------: | :----------------------------: | :-----------------: | :-----------------------: | :-----------------------: |
+| ------------------------------------------ | :----------: | :-----------: | :--------------------------------: | :--------------------------: | :----------------------------: | :-----------------: | :-----------------------: | :-----------------------: |
 | deepseek/DeepSeek-R1                         | 100.00       | 81.04         | 72.53                              | 95.91                        | 89.30                          | 87.22               | 59.28                     | 82.00                     |
 | cognitivecomputations/DeepSeek-R1-AWQ        | 100.07       | 81.10         | 73.12                              | 95.15                        | 89.07                          | 86.86               | 60.09                     | 82.32                     |
 | ISTA-DASLab/DeepSeek-R1-GPTQ-4b-128g          | 99.86        | 80.93         | 72.70                              | 95.68                        | 89.25                          | 86.83               | 58.77                     | 82.32                     |