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README.md

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----
-license: mit
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+---
+license: mit
+base_model: unsloth/Qwen2.5-Coder-32B-Instruct-bnb-4bit
+tags:
+- code
+- amd
+- rocm
+- hip
+- cuda
+- unsloth
+- lablab-ai
+- ghost-coder
+---
+
+# Ghost-Coder: Qwen2.5-32B CUDA-to-HIP Translator
+
+Ghost-Coder is a specialized LLM designed to bridge the gap between NVIDIA's proprietary CUDA and AMD's open ROCm ecosystem. This model is a fine-tuned version of **Qwen2.5-Coder-32B-Instruct**, optimized specifically for high-fidelity translation of GPU kernels.
+
+Developed for the **Lablab.ai AMD Developer Hackathon (2026)**.
+
+## 🚀 Model Highlights
+- **Specialization:** Maps complex CUDA logic (memory management, warp primitives, kernels) to functional AMD HIP code.
+- **Hardware-Aware:** Fine-tuned specifically for execution on AMD Instinct hardware.
+- **Agent-Ready:** Designed to be the "brain" of an autonomous, self-healing compiler loop.
+
+## 🛠️ Training Details
+The model was fine-tuned using the **Unsloth** framework on a high-speed sprint configuration to maximize generalization.
+
+- **Hardware:** AMD Instinct MI300X (192GB VRAM)
+- **Base Model:** Qwen2.5-Coder-32B-Instruct (4-bit QLoRA)
+- **Dataset:** Curated subset of CASS (CUDA-to-HIP mapping pairs)
+- **Context Length:** 4096
+- **Training Steps:** 200
+- **Global Batch Size:** 64
+
+## 🧠 Intended Use
+Ghost-Coder is intended for use in the **Ghost-Harness**, an agentic workflow that:
+1. Translates CUDA source code to HIP.
+2. Attempts compilation via `hipcc`.
+3. Self-corrects based on compiler error feedback.
+
+## 📝 Acknowledgements
+Special thanks to **AMD** and **Lablab.ai** for providing the compute resources and the platform to build across the AI stack.
+
+---
+*Created by Talha*