Update Readme.md and model card

README.md

@@ -1,7 +1,46 @@
 ---
 license: apache-2.0
+tags:
+- math
+- reasoning
+- qwen
+- llama-cpp
+- gguf
+- lora
+- chain-of-thought
 datasets:
 - nvidia/Nemotron-SFT-Math-v3
 base_model:
 - Qwen/Qwen3.5-4B
----
+---
+
+# Qwen3.5-4B Math Fine-Tuned (Nemotron-SFT-Math-v3)
+
+This model is a fine-tuned version of `Qwen3.5-4B`, explicitly optimized for complex mathematical reasoning and Chain-of-Thought (CoT) problem solving. It was fine-tuned using the `Nemotron-Math-v3` dataset with Parameter-Efficient Fine-Tuning (PEFT/LoRA).
+
+## Model Details
+
+- **Base Model**: `Qwen/Qwen3.5-4B`
+- **Fine-Tuning Dataset**: `nvidia/Nemotron-SFT-Math-v3`
+- **Methodology**: LoRA (Rank = 64, Alpha = 32 or Alpha = 16). The `lora_alpha` scaling is specifically tuned to prevent catastrophic forgetting, ensuring the model retains conversational abilities while significantly enhancing mathematical logic.
+- **Quantization**: Safetensor format (`F16`) and GGUF formats (`Q8_0`)
+
+## Recommended Generation Parameters
+
+Because this model leverages extensive Chain-of-Thought reasoning to solve math problems, the following generation parameters are highly recommended for the best performance:
+
+```json
+{
+  "temperature": 1.0,
+  "top_p": 0.95,
+  "repetition_penalty": 1.1
+}
+```
+
+*Note: A `repetition_penalty` of `1.1` is crucial to prevent the base model from occasionally falling into infinite generation loops on extremely long context windows.*
+
+## Use Cases
+
+- Resolving complex math word problems (GSM8K).
+- Higher-level mathematical reasoning (MATH, AIME).
+- Step-by-step logic tracking and proofs.