Update README.md

README.md

@@ -2,6 +2,7 @@
 base_model: unsloth/SmolLM2-135M
 language:
 - en
+- bg
 license: apache-2.0
 tags:
 - text-generation-inference
@@ -9,14 +10,52 @@ tags:
 - unsloth
 - llama
 - trl
+datasets:
+- petkopetkov/math_qa-bg
+- petkopetkov/gsm8k-bg
+- petkopetkov/winogrande_xl-bg
+- petkopetkov/hellaswag-bg
+- petkopetkov/mmlu-bg
+- petkopetkov/arc-easy-bg
+- petkopetkov/arc-challenge-bg
 ---
 
-# Uploaded  model
+# SmolLM2-135M-Bulgarian
 
 - **Developed by:** petkopetkov
 - **License:** apache-2.0
 - **Finetuned from model :** unsloth/SmolLM2-135M
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+SmolLM2-135M finetuned on datasets translated to Bulgarian language:
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+- **MMLU**: multiple-choice questions from various branches of knowledge
+- **Winogrande challenge**: testing world knowledge and understanding
+- **Hellaswag**: testing sentence completion
+- **ARC Easy/Challenge**: testing logical reasoning
+- **GSM-8k**: solving multiple-choice questions in high-school mathematics
+- **MathQA**: math word problems
+
+### Usage
+
+First, install the Transformers library with:
+```sh
+pip install -U transformers
+```
+
+#### Run with the `pipeline` API
+
+```python
+import torch
+from transformers import pipeline
+
+pipe = pipeline(
+    "text-generation",
+    model="petkopetkov/SmolLM2-135M-bg",
+    torch_dtype=torch.bfloat16, 
+    device_map="auto"
+)
+
+prompt = "Колко е 2 + 2?"
+
+print(pipe(prompt)[0]['generated_text'])
+```