Update README.md

README.md

@@ -1,17 +1,3 @@
-  ---
-  library_name: transformers
-  tags:
-  - education
-  - croatian
-  - qwen2
-  - fine-tuned
-  - study-assistant
-  language:
-  - hr
-  - en
-  license: apache-2.0
-  base_model: Qwen/Qwen2.5-32B-Instruct
-  ---
 
   # StudyPal-LLM-1.0
 
@@ -120,143 +106,4 @@
   aerodynamics21
 
   Model Card Contact
-
-  For questions about this model, please visit the repository or create an issue.
-
-  **To update your model card:**
-
-  1. **Go to your model page:** https://huggingface.co/aerodynamics21/StudyPal-LLM-1.0
-  2. **Click "Edit model card"**
-  3. **Replace the content with the above**
-  4. **Save changes**
-
-  **Note:** The adapter (StudyPal-LLM-1) is already merged into this model, so users don't need to load it separately. The adapter is mentioned in the model sources for reference.
-
-> YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)
-
-● The YAML metadata section is missing the closing ---. Here's the corrected model card:
-
-  ---
-  library_name: transformers
-  tags:
-  - education
-  - croatian
-  - qwen2
-  - fine-tuned
-  - study-assistant
-  language:
-  - hr
-  - en
-  license: apache-2.0
-  base_model: Qwen/Qwen2.5-32B-Instruct
-  ---
-
-  # StudyPal-LLM-1.0
-
-  A fine-tuned Croatian educational assistant based on Qwen2.5-32B-Instruct, designed to help students with learning and study materials.
-
-  ## Model Details
-
-  ### Model Description
-
-  StudyPal-LLM-1.0 is a large language model fine-tuned specifically for educational purposes in Croatian. The model excels at generating educational content, answering study questions, creating flashcards, and        
-  providing learning assistance.
-
-  - **Developed by:** aerodynamics21
-  - **Model type:** Causal Language Model
-  - **Language(s):** Croatian (primary), English (secondary)
-  - **License:** Apache 2.0
-  - **Finetuned from model:** Qwen/Qwen2.5-32B-Instruct
-  - **Parameters:** 32.8B
-
-  ### Model Sources
-
-  - **Repository:** https://huggingface.co/aerodynamics21/StudyPal-LLM-1.0
-  - **Base Model:** https://huggingface.co/Qwen/Qwen2.5-32B-Instruct
-  - **Adapter:** https://huggingface.co/aerodynamics21/StudyPal-LLM-1
-
-  ## Uses
-
-  ### Direct Use
-
-  This model is designed for educational applications:
-  - Generating study materials in Croatian
-  - Creating flashcards and quiz questions
-  - Providing explanations of complex topics
-  - Assisting with homework and learning
-
-  ### Usage Examples
-
-  ```python
-  from transformers import AutoModelForCausalLM, AutoTokenizer
-
-  model = AutoModelForCausalLM.from_pretrained("aerodynamics21/StudyPal-LLM-1.0")
-  tokenizer = AutoTokenizer.from_pretrained("aerodynamics21/StudyPal-LLM-1.0")
-
-  # Generate educational content
-  prompt = "Objasni koncept fotosinteze:"
-  inputs = tokenizer(prompt, return_tensors="pt")
-  outputs = model.generate(**inputs, max_length=200, temperature=0.7)
-  response = tokenizer.decode(outputs[0], skip_special_tokens=True)
-
-  API Usage
-
-  import requests
-
-  API_URL = "https://api-inference.huggingface.co/models/aerodynamics21/StudyPal-LLM-1.0"
-  headers = {"Authorization": f"Bearer {your_token}"}
-
-  def query(payload):
-      response = requests.post(API_URL, headers=headers, json=payload)
-      return response.json()
-
-  output = query({"inputs": "Stvori kviz o hrvatskoj povijesti:"})
-
-  Training Details
-
-  Training Data
-
-  The model was fine-tuned on a Croatian educational dataset containing:
-  - Educational conversations and Q&A pairs
-  - Flashcard datasets
-  - Quiz and summary materials
-  - Croatian academic content
-
-  Training Procedure
-
-  - Base Model: Qwen2.5-32B-Instruct
-  - Training Method: LoRA (Low-Rank Adaptation)
-  - Training Framework: Transformers + PEFT
-  - Hardware: RunPod GPU instance
-
-  Evaluation
-
-  The model demonstrates strong performance in:
-  - Croatian language comprehension and generation
-  - Educational content creation
-  - Study material generation
-  - Academic question answering
-
-  Bias, Risks, and Limitations
-
-  - Primary focus on Croatian educational content
-  - May reflect biases present in training data
-  - Best suited for educational contexts
-  - Performance may vary on non-educational tasks
-
-  Citation
-
-  @model{studypal-llm-1.0,
-    title={StudyPal-LLM-1.0: A Croatian Educational Assistant},
-    author={aerodynamics21},
-    year={2024},
-    url={https://huggingface.co/aerodynamics21/StudyPal-LLM-1.0}
-  }
-
-  Model Card Authors
-
-  aerodynamics21
-
-  Model Card Contact
-
-  For questions about this model, please visit the repository or create an issue.
+---