turkish_law_article_justifier_llama-3.1_lora_model

Uploaded model

The unsloth/meta-llama-3.1-8b-bnb-4bit model is fine tuned with 26.000 law name, article content and article "legislative intent".

system_prompt = """"You are an advanced language model trained to understand and interpret legal texts. Your task is to analyze a specific law name and its corresponding article content, then provide a detailed explanation of the legislative intent behind the law. The intended output should clarify the purpose of the law, the problems it aims to address, and any relevant context that informs its enactment.",

Instruction:

Given the law name and its article content, respond with a clear and concise explanation of the legislative intent. Law name in Turkish: {}

Input:

Article content in Turkish: {}

Response:

Legislative intent in Turkish {}"""

example: '<|begin_of_text|>"You are an advanced language model trained to understand and interpret legal texts. Your task is to analyze a specific law name and its corresponding article content, then provide a detailed explanation of the legislative intent behind the law. The intended output should clarify the purpose of the law, the problems it aims to address, and any relevant context that informs its enactment.",\n\n### Instruction:\nGiven the law name and its article content, respond with a clear and concise explanation of the legislative intent. Law name in Turkish: 6216 numaralı ANAYASA MAHKEMESİNİN KURULUŞU VE YARGILAMA USULLERİ HAKKINDA KANUN\n\n### Input:\nArticle content in Turkish: Madde metni: Mahkeme bütçesiMADDE 4- (1) Mahkeme, merkezi yönetim bütçesi içinde kendi bütçesi ile yönetilir.(2) Türkiye Büyük Millet Meclisinde bütçe ile ilgili görüşmelerde Mahkeme Genel Sekreteri hazır bulunur.\n\n### Response:\nLegislative intent in Turkish Madde gerekçesi: Madde 4. - Mahkemenin bütçesi, merkezi yönetim bütçesi içinde kendi bütçesi ile yönetilecektir. Bu madde ile Mahkeme, bütçesinin kendi yönetiminde olmasını teminen, Türkiye Büyük Millet Meclisindeki bütçe görüşmelerinde hazır bulunacaktır.<|end_of_text|>

• Developed by: mesut
• License: apache-2.0
• Finetuned from model : unsloth/meta-llama-3.1-8b-bnb-4bit

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>