Update README.md

README.md

@@ -12,7 +12,7 @@ Deepseek Coder comprises a series of code language models trained on both 87% co
 
 - **Massive Training Data**: Trained on 2T tokens, including 87% code and 13% linguistic data in both English and Chinese languages.
   
-- **Highly Flexible & Scalable**: Offered in model sizes of 1B, 7B, and 33B, enabling users to choose the setup most suitable for their requirements.
+- **Highly Flexible & Scalable**: Offered in model sizes of 1.3B, 5.7B, 6.7B, and 33B, enabling users to choose the setup most suitable for their requirements.
   
 - **Superior Model Performance**: State-of-the-art performance among publicly available code models on HumanEval, MultiPL-E, MBPP, DS-1000, and APPS benchmarks.
   
@@ -167,8 +167,6 @@ outputs = model.generate(**inputs, max_new_tokens=140)
 print(tokenizer.decode(outputs[0]))
 ```
 
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-In the following scenario, the Deepseek-Coder 7B model effectively calls a class **IrisClassifier** and its member function from the `model.py` file, and also utilizes functions from the `utils.py` file, to correctly complete the **main** function in`main.py` file for model training and evaluation.
 
 
 ### 4. Lincense