MDDDDR
/

Llama-3.2-1B-Instruct-FFT-coder-python

@@ -1,199 +1,84 @@
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 ---
+license: apache-2.0
+language:
+- ko
+base_model:
+- meta-llama/Llama-3.2-1B-Instruct
+pipeline_tag: text-generation
 library_name: transformers
+datasets:
+- nayohan/CodeFeedback-Filtered-Instruction-ko
 ---
+- base_model : [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct)
+- data_set : [nayohan/CodeFeedback-Filtered-Instruction-ko](https://huggingface.co/datasets/nayohan/CodeFeedback-Filtered-Instruction-ko)
+  - 해당 데이터셋을 전부 사용한건 아니며 Python언어를 우선 추출한다음 데이터셋들의 생김새를 파악, 그 다음 전처리가 공통적으로 들어갈만한 데이터를 다시 추출하여 학습에 사용했습니다.
+    - 총 학습 데이터 건 : 49,859 건
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+model_id = 'MDDDDR/llama3.2-1B-Instruct-FFT-code-python'
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id,
+                                             device_map="cuda:0",
+                                             torch_dtype=torch.bfloat16)
+instruction = '''LCS(Longest Common Subsequence, 최장 공통 부분 수열)문제는 두 수열이 주어졌을 때, 모두의 부분 수열이 되는 수열 중 가장 긴 것을 찾는 문제이다.
+예를 들어, ACAYKP와 CAPCAK의 LCS는 ACAK가 된다.
+###입력 : 첫째 줄과 둘째 줄에 두 문자열이 주어진다. 문자열은 알파벳 대문자로만 이루어져 있으며, 최대 1000글자로 이루어져 있다.
+###출력 : 첫째 줄에 입력으로 주어진 두 문자열의 LCS의 길이를 출력한다.
+###입력 예제 :
+ACAYKP
+CAPCAK
+###출력 예제 : 4
+'''
+messages = [
+    {
+        "role":"user",
+        "content":"아래는 문제를 설명하는 지시사항입니다. 이 요청에 대해 적절하게 답변해주세요.\n###지시사항:{instruction}\n###답변:".format(instruction=instruction)
+    }
+]
+with torch.no_grad():
+  prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=False)
+  inputs = tokenizer(prompt, return_tensors="pt", padding=False).to('cuda')
+  outputs = model.generate(**inputs,
+                           use_cache=False,
+                           max_length=256,
+                           top_p=0.9,
+                           temperature=0.7,
+                           repetition_penalty=1.0,
+                           pad_token_id=tokenizer.pad_token_id)
+output_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+final_output = output_text.split('assistant')[-1].strip()
+print(final_output)
+# ###답변:```python
+# def longest_common_subsequence(str1, str2):
+#     m = len(str1)
+#     n = len(str2)
+#     dp = [[0] * (n+1) for _ in range(m+1)]
+#
+#     for i in range(m+1):
+#         for j in range(n+1):
+#             if i == 0 or j == 0:
+#                 dp[i][j] = 0
+#             elif str1[i-1] == str2[j-1]:
+#                 dp[i][j] = dp[i-1][j-1] + 1
+#             else:
+#                 dp[i][j] = max(dp[i-1][j], dp[i][j-1])
+#
+#     return dp[m][n]
+#
+# print(longest_common_subsequence("ACAYKP", "CAPCAK"))  # Output: 4
+```
+```
+Hardware
+- A100 40GB x 1
+- Training Time : 1 hour 45 minutes