Rustamshry
/

Plantinga-RL

@@ -15,200 +15,94 @@ tags:
 - transformers
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 ### Framework versions
 - PEFT 0.15.2

 - transformers
 ---
+ <p align="center">
+  <img src="https://www.templetonprize.org/wp-content/uploads/2020/01/plantinga_gallery_1.jpg" style="width: 350px; height:500px;"/>
+</p>
+<h2 style="font-size: 32px; text-align: center;"> Plantinga-RL</h2>
+<p style="font-size: 21px; text-align: center;">A Lightweight Language Model</p>
+<h3 style="font-size: 21px; color: #2980b9;">Model Description 📝</h3>
+Plantinga-RL is a fine-tuned version of Qwen2.5-0.5B-Instruct, trained specifically on philosophical texts. The model specializes in understanding and generating responses related to complex philosophical concepts, arguments, and debates.
+It not only provides accurate explanations, thoughtful analyses, and context-aware answers, but also performs structured reasoning—breaking down arguments, evaluating premises, and drawing logical conclusions.
+It is particularly effective in addressing philosophical questions in metaphysics, epistemology, ethics, and the philosophy of mind, offering both clarity and depth in reasoning.
+<h3 style="font-size: 21px; color: #2980b9;">Key Features ✨</h3>
+* **Architecture**: Transformer-based language model 🏗️
+* **Training Data**: Philosophy-focused dataset covering multiple branches of philosophy and structured philosophical Q&A. 📚
+* **Developed by**: Rustam Shiriyev
+* **Language(s)**: English
+* **License**: MIT
+* **Fine-Tuning Method**: GRPO with LoRA
+* **Domain**: Philosophy
+* **Finetuned from model**: unsloth/Qwen2.5-0.5B-Instruct
+* **Model name**: The model’s name was inspired by Alvin Plantinga, one of the most influential philosophers of the 21st century.
+* **Dataset**: jilp00/YouToks-Instruct-Philosophy
+<h3 style="font-size: 21px; color: #2980b9;">Intended Use</h3>
+* Generating clear and concise explanations of philosophical concepts. 🏆
+* Providing structured responses to philosophical questions. 🎯
+* Assisting students, researchers, and enthusiasts in exploring philosophical arguments.⚡
+<h3 style="font-size: 21px; color: #2980b9;">Limitations ⚠️</h3>
+* While fine-tuned on philosophy, the model may still occasionally generate hallucinations or less precise interpretations of highly nuanced philosophical arguments.
+* The model does not replace expert human philosophical judgment.
+<h3 style="font-size: 21px; color: #2980b9;">How to Get Started with the Model 💻</h3>
+```python
+from huggingface_hub import login
+from transformers import AutoTokenizer, AutoModelForCausalLM
+from peft import PeftModel
+login(token="")
+tokenizer = AutoTokenizer.from_pretrained("unsloth/Qwen2.5-0.5B-Instruct",)
+base_model = AutoModelForCausalLM.from_pretrained(
+    "unsloth/Qwen2.5-0.5B-Instruct",
+    device_map={"": 0}, token=""
+)
+model = PeftModel.from_pretrained(base_model,"Rustamshry/Plantinga-RL")
+question = """
+In the philosophical discussion comparing the mind to harmony, what is the core argument, and why could it imply that the mind is destructible?
+"""
+system = """
+Respond in the following format:
+<reasoning>
+...
+</reasoning>
+<answer>
+...
+</answer>
+"""
+messages = [
+    {"role" : "system", "content" : system},
+    {"role" : "user",   "content" : question}
+]
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize = False,
+)
+from transformers import TextStreamer
+_ = model.generate(
+    **tokenizer(text, return_tensors = "pt").to("cuda"),
+    max_new_tokens = 2000,
+    streamer = TextStreamer(tokenizer, skip_prompt = True),
+)
+```
 ### Framework versions
 - PEFT 0.15.2