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alperiox
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Model Details
Model Provider
alperiox
Model Tree
Qwen/Qwen2.5-1.5B-Instruct
Input Modalities
Output Modalities
Supported Functionality
| Model | Parse | Fonksiyon Doğruluğu | Gerekli Argümanlar | Şema Uyumu |
|---|---|---|---|---|
| Qwen2.5 1.5B (base) | 92% | 54% | 52% | 44% |
| Qwen2.5 1.5B (fine-tuned) | 100% | 88% | 88% | 84% |
Fine-tuning ile fonksiyon doğruluğu %54'ten %88'e yükselmiştir (+34 puan).
read_text_file, read_multiple_files, write_file, edit_file, create_directory, list_directory, directory_tree, move_file, search_files, get_file_info
issue_read, issue_write, list_issues, search_issues, add_issue_comment, pull_request_read, create_pull_request, update_pull_request, merge_pull_request, list_pull_requests, create_branch, get_file_contents, create_or_update_file, list_commits, list_branches, search_code, get_repository_tree, actions_list,
python
from unsloth import FastModelfrom unsloth.chat_templates import get_chat_templatefrom peft import PeftModel base_model, tokenizer = FastModel.from_pretrained( "unsloth/Qwen2.5-1.5B-Instruct", max_seq_length=4096, load_in_4bit=True,)tokenizer = get_chat_template(tokenizer, chat_template="qwen-2.5")model = PeftModel.from_pretrained(base_model, "alperiox/qwen25-1.5b-turkish-fc") messages = [ {"role": "system", "content": SYSTEM_PROMPT}, {"role": "user", "content": "main branch'ten feature/login adında yeni bir branch oluştur"},]# ... generate responseBu model, Python Ankara topluluğunun "Küçük Dil Modellerini Türkçe İçin Fine-Tuning" atölyesi kapsamında geliştirilmiştir.
Eğitim verisi: alperiox/turkish-devtools-function-calling
get_job_logs