Codex07
/

Lora-3B-TR

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 ---
-library_name: transformers
 tags:
 - unsloth
 ---
-# Model Card for Model ID
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 ---
+library_name: peft
+model_name: lora_1B_TR
 tags:
+- meta-llama/Llama-3.2-3B-Instruct
+- lora
+- sft
+- transformers
+- trl
 - unsloth
+licence: license
+pipeline_tag: text-generation
+base_model: meta-llama/Llama-3.2-3B-Instruct
+datasets:
+- kadirnar/combined-turkish-datasets-v5
+language:
+- tr
+- en
 ---
+# Model Card for Lora_TR_1B
+This is a Lora Adaptor of 'meta-llama/Llama-3.2-3B-Instruct'.
+The main goal of this adapter is to obtain an Llama who speaks Turkish better.
+>(r=32, lora_alpha=64, lora_dropout=0.005)
+## Quick start
+```python
+from unsloth import FastLanguageModel
+from peft import PeftModel
+from transformers import AutoTokenizer
+BASE = "meta-llama/Llama-3.2-3B-Instruct"
+ADAPTER = "Codex07/Lora_3B_TR"
+# Load Model
+model, tok = FastLanguageModel.from_pretrained(
+    model_name=BASE, max_seq_length=2048, load_in_4bit=False, dtype=None, device_map="auto"
+)
+# Load Adaptor
+model = PeftModel.from_pretrained(model, ADAPTER)  # adapter’ı Unsloth modeline tak
+FastLanguageModel.for_inference(model)
+# Test
+messages = [
+    {"role":"system","content":"You are AI assistant. Give user answers"},# Sen bir Yapay Zeka Asistanısısın. kullanıcıdan gelen sorulara resmi cevap ver.
+    {"role":"user","content":"Hi, can you help me?"},
+    {"role":"assistant","content":"I would like to help you."},
+    {"role":"user","content":"How many tools do you have?"},
+]
+prompt = tok.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt").to(model.device)
+out = model.generate(prompt, max_new_tokens=2048)
+print(tok.decode(out[0, prompt.shape[-1]:], skip_special_tokens=True))
+```
+## Training procedure
+Half of 'kadirnar/combined-turkish-datasets-v5' Turkish dataset used.
+Dataset divided into chunks by size 65k.
+This model was trained with SFT.
+### Framework versions
+- PEFT 0.17.1
+- TRL: 0.23.0
+- Transformers: 4.56.2
+- Pytorch: 2.8.0
+- Datasets: 4.3.0
+- Tokenizers: 0.22.1
+## Citations
+Cite TRL as:
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```