Update README.md

README.md

@@ -1,3 +1,61 @@
----
-license: bsd-2-clause
----
+---
+license: bsd-2-clause
+datasets:
+- hodza/Informatika21CP
+language:
+- ru
+- en
+base_model:
+- Qwen/Qwen2.5-Coder-3B-Instruct
+tags:
+- code
+- programming
+- blackbox
+- componentpascal
+---
+
+# BlackBox Component Pascal Assistant Model
+
+![Model Logo](https://huggingface.co/front/assets/huggingface_logo-noborder.svg) <!-- Optional logo -->
+
+## Model Description
+
+This is a specialized AI assistant for programming in **BlackBox Component Builder** using Component Pascal. The model is fine-tuned on Qwen/Qwen2.5-Coder-3B-Instruct to provide context-aware coding assistance and best practices for BlackBox development.
+
+**Key Features:**
+- Component Pascal syntax support
+- BlackBox framework-specific patterns
+- Code generation and troubleshooting
+- Interactive programming guidance
+
+## Intended Use
+✅ Intended for:
+- BlackBox Component Builder developers
+- Component Pascal learners
+- Legacy Oberon-2 system maintainers
+- Educational purposes
+
+🚫 Not intended for:
+- General programming outside BlackBox
+- Non-technical decision making
+- Mission-critical systems without human verification
+
+## How to Use
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "hodza/BlackBox-Coder-3B"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+def get_assistant_response(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(
+        inputs.input_ids,
+        max_new_tokens=256,
+        temperature=0.7,
+        top_p=0.9,
+        pad_token_id=tokenizer.eos_token_id
+    )
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)