Update README.md

README.md

@@ -10,11 +10,11 @@ tags:
   - pytorch
 ---
 
-# OpenCodeReasoning-Distill-Qwen-7B-Instruct
+# OpenCodeReasoning-7B
 
 ## Model Overview 
 
-OpenCodeReasoning-Distill-Qwen-7B-Instruct is a large language model (LLM) which is a derivative of [Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) (AKA the *reference model*). 
+OpenCodeReasoning-7B is a large language model (LLM) which is a derivative of [Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) (AKA the *reference model*). 
 It is a reasoning model that is post trained for reasoning while code generation. The model supports a context length of 32K tokens.
 
 This model is ready for commercial use. 
@@ -49,7 +49,7 @@ Developers designing AI-powered code generation applications. Also suitable for
 
 ## Intended use
 
-OpenCodeReasoning-Distill-Qwen-7B-Instruct is a competitive code generation focused reasoning and chat model intended to be used in English. 
+OpenCodeReasoning-7B is a competitive code generation focused reasoning and chat model intended to be used in English. 
 
 ## Input  
 - **Input Type:** Text  
@@ -87,7 +87,7 @@ Example:
 import torch
 import transformers
 
-model_id = "nvidia/OpenCodeReasoning-Distill-Qwen-7B-Instruct"
+model_id = "nvidia/OpenCodeReasoning-7B"
 model_kwargs = {"torch_dtype": torch.bfloat16, "trust_remote_code": True, "device_map": "auto"}
 tokenizer = transformers.AutoTokenizer.from_pretrained(model_id)
 tokenizer.pad_token_id = tokenizer.eos_token_id
@@ -139,7 +139,7 @@ Data Labeling for Evaluation Datasets:
 | Models | Pass@1 |
 |:--------------|:------------|
 | R1-Distill-Qwen-7B | 37.6 |
-| OpenCodeReasoning-Distill-Qwen-7B-Instruct | 51.3 | 
+| OpenCodeReasoning-7B | 51.3 | 
 
 User Prompt Template (without starter code):