Update README.md

README.md

@@ -14,7 +14,7 @@ This model is a fine-tuned version of the `unsloth/qwen2.5-3b-instruct-unsloth-b
 This model applies LoRA (Low-Rank Adaptation) to the Qwen2.5-3B-Instruct base model, targeting key projection modules for efficient fine-tuning. It is quantized to 4-bit precision using the Unsloth library to optimize for inference performance on lower-resource hardware.
 
 - **Developed by:** [montebello.ai](https://www.montebello.ai/)
-- **Funded by [optional]:** Bootstrapped for Life
+- **Funded by:** Bootstrapped 4 Life
 - **Model type:** Causal Language Model with LoRA Adapter
 - **Language(s) (NLP):** English (primary), multilingual support for some other languages (research ongoing).
 - **License:** MIT
@@ -22,7 +22,7 @@ This model applies LoRA (Low-Rank Adaptation) to the Qwen2.5-3B-Instruct base mo
 
 ### Model Sources
 
-- **Demo [optional]:** [Link if available]
+- **Demo [optional]:** [COMING SOON]
 
 ## Uses
 
@@ -88,7 +88,7 @@ print(tokenizer.decode(outputs[0]))
 
 ### Training Data
 
-This model was trained on the [GSMI dataset](https://github.com/openai/grade-school-math) from OpenAI.
+This model was trained on the [GSM8K dataset](https://github.com/openai/grade-school-math) from OpenAI.
 
 ## Environmental Impact