Add initial README for JumpLander Coder 32B

JumpLander Coder 32B is an upcoming large language model designed for high-quality code generation, multi-file reasoning, and practical software engineering workflows.
This repository currently serves as a documentation-only preview and does not include model weights or checkpoints.
The model aims to support robust development tasks, including project scaffolding, refactoring, debugging, and security-aware code suggestions.
An open-source release with full weights, tokenizer, inference guides, and SDK integration is planned for a future update.

README.md

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-license: other
-license_name: proprietary
-license_link: LICENSE
----
+---
+license: other
+license_name: proprietary
+license_link: LICENSE
+---
+
+# JumpLander Coder 32B
+**A high-performance, future open-source code-generation LLM (documentation-only release).**
+
+This repository provides the official documentation, roadmap, and technical overview of **JumpLander Coder 32B**, a large language model focused on real-world software engineering tasks.  
+_No model weights, checkpoints, or tokenizer files are published yet. They will be released in a future open-source update._
+
+---
+
+## Overview
+JumpLander Coder 32B is designed to deliver high-quality code generation, robust reasoning across multi-file codebases, and practical support for modern development workflows.
+
+The model targets:
+- Strong reasoning for complex software projects  
+- Multi-file code generation and refactoring  
+- Debugging assistance and architecture-level suggestions  
+- Security-aware coding patterns  
+- Optimized usage for global developers, including improved handling for **Persian-speaking engineers**
+
+---
+
+## Current Status
+- ✔ Documentation available  
+- ✔ Benchmarks and evaluations (text-based placeholders)  
+- ❌ No model weights released yet  
+- 🚀 Future: Open-source release with full code, tokenizer, and inference recipes  
+
+---
+
+## Planned Capabilities
+- Code generation for full repositories  
+- Patch suggestions & automated refactoring  
+- Test generation (unit, integration, regression)  
+- Multi-language support:  
+  **Python, JavaScript/TypeScript, Go, Rust, Java, C/C++, Bash, SQL**  
+- Long-context reasoning (project-wide understanding)  
+- Developer-friendly integrations (CLI, SDK, IDE extensions)
+
+---
+
+## Intended Use Cases
+- Quickly scaffold complete applications  
+- Refactor legacy codebases  
+- Debug and inspect code structure  
+- Generate documentation and API specifications  
+- Teach or learn programming with guided examples
+
+_Not intended for unreviewed use in critical systems, confidential codebases, or applications requiring zero-error guarantees without human review._
+
+---
+
+## Repository Structure
+This repository includes:
+
+- `README.md` — project introduction  
+- `MODEL_CARD.md` — planned model card details  
+- `ROADMAP.md` — development milestones  
+- `BENCHMARKS.md` — benchmark descriptions (results coming later)  
+- `LICENSE` — proprietary license placeholder  
+
+> No model weights are stored here until the public release.
+
+---
+
+## Example Usage (Future API)
+This is the expected interface once the SDK and model weights are released:
+
+```python
+from jumplander_sdk import JumplanderClient
+
+client = JumplanderClient(api_key="YOUR_KEY")
+
+# Generate a multi-file application scaffold
+project = client.scaffold(
+    "Create a FastAPI service with JWT auth and PostgreSQL integration",
+    language="python"
+)
+project.save("./generated_app")
+
+# Refactor an existing repository
+patches = client.refactor("./myrepo", intent="improve architecture and modularity")
+client.apply_patches(patches)