Update README.md

README.md

@@ -1,22 +1,65 @@
 ---
-base_model: unsloth/Ministral-3-8B-Instruct-2512-unsloth-bnb-4bit
+base_model: unsloth/Ministral-3-8B-Instruct-2512
 tags:
-- text-generation-inference
-- transformers
 - unsloth
-- mistral3
-- trl
+- mistral
+- gguf
+- coding
+- software-engineering
+- rs.ai
 license: apache-2.0
 language:
 - en
+pipeline_tag: text-generation
 ---
 
-# Uploaded finetuned model
+# Scar-8B 💻
 
-- **Developed by:** ItzRustam
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/Ministral-3-8B-Instruct-2512-unsloth-bnb-4bit
+**Scar** is an elite, 8-billion parameter software engineering AI developed by **rs.ai**. 
 
-This mistral3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
+Specifically engineered as a universal coding agent, Scar possesses deep capabilities across all major programming languages, system architectures, multi-agent frameworks, and backend workflows. It outputs highly optimized, production-ready code with clean markdown formatting.
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+## Model Details
+- **Developer:** rs.ai 
+- **Base Model:** Ministral-3-8B-Instruct
+- **Parameters:** 8 Billion
+- **Quantization:** GGUF (`Q4_K_M`) and 16-bit LoRA adapters
+- **Training Framework:** Unsloth (PEFT/LoRA)
+- **Primary Use Case:** Agentic AI pipelines, backend engineering, code generation, and technical reasoning.
+
+## How to Use
+
+### Python Inference (Transformers / Unsloth)
+You can run the model natively in Python using `transformers` or `unsloth`.
+
+```python
+from unsloth import FastLanguageModel
+from transformers import TextStreamer
+
+model, tokenizer = FastLanguageModel.from_pretrained(
+    model_name = "ItzRustam/Scar-8B",
+    max_seq_length = 8192,
+    dtype = None,
+    load_in_4bit = True,
+)
+
+FastLanguageModel.for_inference(model)
+
+messages = [
+    {"role": "system", "content": "You are Scar, an elite software engineering AI developed by rs.ai. You possess absolute mastery over all programming languages, system architectures, and backend frameworks."},
+    {"role": "user", "content": "Write a high-performance HTTP server in Go."}
+]
+
+inputs = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt").to("cuda")
+text_streamer = TextStreamer(tokenizer, skip_prompt=True)
+
+_ = model.generate(input_ids=inputs, streamer=text_streamer, max_new_tokens=512, temperature=0.5)
+```
+
+## Training Details
+Scar-8B was fine-tuned using a specialized, ShareGPT-formatted dataset featuring **Compound Intent Resolution**. This ensures the model can accurately process complex, multi-step system prompts—such as simultaneously defining its internal identity and generating complex code blocks—without suffering from early sequence truncation (`[EOS]` drop-offs).
+
+## License & Attribution
+This model is published under the permissive **Apache 2.0 License**, allowing for commercial and private deployment. 
+
+*Base Architecture Attribution:* Scar-8B is a derivative model post-trained on top of the `Ministral-3-8B-Instruct-2512` architecture originally developed by Mistral AI.