Update README.md

README.md

@@ -1,5 +1,4 @@
 ---
-license name: deepseek
 library_name: transformers
 tags:
 - code
@@ -12,11 +11,13 @@ datasets:
 metrics:
 - code_eval
 pipeline_tag: text-generation
+license: other
+license name: deepseek
 ---
 ## AIGCodeGeek-DS-6.7B
 
 ### Introduction
-AIGCodeGeek-DS-6.7B is the first released version of our Code-LLM family with competitive performance on public and private benchmarks.
+AIGCodeGeek-DS-6.7B is our first released version of a Code-LLM family with competitive performance on public and private benchmarks.
 
 ### Model Details
 #### Model Description
@@ -26,7 +27,7 @@ AIGCodeGeek-DS-6.7B is the first released version of our Code-LLM family with co
 
 ### Training data
 A mixture of samples from high-quality open-source (read *Acknowledgements*) and our private datasets. 
-We have made contamination detection as Magicoder/Bigcode did.
+We have made contamination detection as Magicoder/Bigcode did (https://github.com/ise-uiuc/magicoder/blob/main/src/magicoder/decontamination/find_substrings.py).
 
 ### Evaluation
 results to be added.
@@ -48,11 +49,12 @@ attrdict
 ### QuickStart
 
 ```python
+import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM
 tokenizer = AutoTokenizer.from_pretrained("aigcode/AIGCodeGeek-DS-6.7B", trust_remote_code=True)
 model = AutoModelForCausalLM.from_pretrained("aigcode/AIGCodeGeek-DS-6.7B", trust_remote_code=True, torch_dtype=torch.bfloat16).cuda()
 messages=[
-    { 'role': 'user', 'content': "write a quick sort algorithm in python."}
+    { 'role': 'user', 'content': "write a merge sort algorithm in python."}
 ]
 inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
 # tokenizer.eos_token_id is the id of <|EOT|> token
@@ -60,8 +62,6 @@ outputs = model.generate(inputs, max_new_tokens=512, do_sample=False, top_k=50,
 print(tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True))
 ```
 
-### Limits
-
 
 ### Acknowledgements
 We gain a lot of knowledge and resources from the open-source community: