Update README.md

README.md

@@ -1,62 +1,62 @@
-<div align="center">
-  <img src="./assets/logo.png" style="zoom:25%;" /> 
-</div>
-
-# CodeV:Empowering LLMs for Verilog Generation through Multi-Level Summarization
-
-<img src="assets/overview.png" style="zoom:50%;" /> 
-
-CodeV is an innovative series of open-source, instruction-tuned Large Language Models (LLMs) specifically designed for the generation of high-quality Verilog code, addressing the challenges faced by existing models in this domain.  **(This repo is under development)** 
-
-## Models and Datasets
-
-|      | Base Model                                                                                          | CodeV                                                                                |
-| ---- | --------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------ |
-| 6.7B | [deepseek-ai/deepseek-coder-6.7b-base](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-base) | [[zyyy1023399127/CodeV-DS-6.7B](https://huggingface.co/zyyy1023399127/CodeV-DS-6.7B) |
-| 7B   | [codellama/CodeLlama-7b-Python-hf](https://huggingface.co/codellama/CodeLlama-7b-Python-hf)         | [zyyy1023399127/CodeV-CL-7B](https://huggingface.co/zyyy1023399127/CodeV-CL-7B)      |
-| 7B   | [Qwen/CodeQwen1.5-7B-Chat](https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat)                         | [zyyy1023399127/CodeV-QW-7B](https://huggingface.co/zyyy1023399127/CodeV-QW-7B)      |
-
-## Test
-
-If you want to test the generation capability of existing models on Verilog, you need to install the [VerilogEval](https://github.com/NVlabs/verilog-eval) and [RTLLM](https://github.com/hkust-zhiyao/rtllm) environments.
-
-## Quick Start
-
-```python
-from transformers import pipeline
-
-import torch
-
-
-
-prompt= "FILL IN THE QUESTION"
-
-
-
-generator = pipeline(
-
-  model="CODEV",
-
-  task="text-generation",
-
-  torch_dtype=torch.bfloat16,
-
-  device_map="auto",
-
-)
-
-
-
-result = generator(prompt , max_length=2048, num_return_sequences=1, temperature=0.0)
-
-response = result[0]["generated_text"]
-
-print("Response:", response)
-```
-
-## Acknowledgements
-
-* [Magicoder](https://github.com/ise-uiuc/magicoder): Training code, original datasets and data decontamination
-* [DeepSeek-Coder](https://github.com/deepseek-ai/DeepSeek-Coder): Base model for CodeV-DeepSeek
-* [CodeLlama](https://ai.meta.com/research/publications/code-llama-open-foundation-models-for-code/): Base model for CodeLlama
+<div align="center">
+  <img src="./assets/logo.png" style="zoom:25%;" /> 
+</div>
+
+# CodeV:Empowering LLMs for Verilog Generation through Multi-Level Summarization
+
+<img src="assets/overview.png" style="zoom:50%;" /> 
+
+CodeV is an innovative series of open-source, instruction-tuned Large Language Models (LLMs) specifically designed for the generation of high-quality Verilog code, addressing the challenges faced by existing models in this domain.  **(This repo is under development)** 
+
+## Models and Datasets
+
+|      | Base Model                                                                                          | CodeV                                                                                |
+| ---- | --------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------ |
+| 6.7B | [deepseek-ai/deepseek-coder-6.7b-base](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-base) | [zyyy1023399127/CodeV-DS-6.7B](https://huggingface.co/zyyy1023399127/CodeV-DS-6.7B) |
+| 7B   | [codellama/CodeLlama-7b-Python-hf](https://huggingface.co/codellama/CodeLlama-7b-Python-hf)         | [zyyy1023399127/CodeV-CL-7B](https://huggingface.co/zyyy1023399127/CodeV-CL-7B)      |
+| 7B   | [Qwen/CodeQwen1.5-7B-Chat](https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat)                         | [zyyy1023399127/CodeV-QW-7B](https://huggingface.co/zyyy1023399127/CodeV-QW-7B)      |
+
+## Test
+
+If you want to test the generation capability of existing models on Verilog, you need to install the [VerilogEval](https://github.com/NVlabs/verilog-eval) and [RTLLM](https://github.com/hkust-zhiyao/rtllm) environments.
+
+## Quick Start
+
+```python
+from transformers import pipeline
+
+import torch
+
+
+
+prompt= "FILL IN THE QUESTION"
+
+
+
+generator = pipeline(
+
+  model="CODEV",
+
+  task="text-generation",
+
+  torch_dtype=torch.bfloat16,
+
+  device_map="auto",
+
+)
+
+
+
+result = generator(prompt , max_length=2048, num_return_sequences=1, temperature=0.0)
+
+response = result[0]["generated_text"]
+
+print("Response:", response)
+```
+
+## Acknowledgements
+
+* [Magicoder](https://github.com/ise-uiuc/magicoder): Training code, original datasets and data decontamination
+* [DeepSeek-Coder](https://github.com/deepseek-ai/DeepSeek-Coder): Base model for CodeV-DeepSeek
+* [CodeLlama](https://ai.meta.com/research/publications/code-llama-open-foundation-models-for-code/): Base model for CodeLlama
 * [CodeQwen](https://github.com/QwenLM/CodeQwen1.5): CodeV-CodeQwen