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license: other
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license_name: proprietary
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license_link: LICENSE
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<!-- ================= Social Links ================= -->
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<!-- Social Icons -->
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<img src="https://jumplander.org/assets/logo.png" width="200"/>
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<div style="display: flex; gap: 15px; align-items: center;">
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<a href="https://github.com/jumplander-readme" target="_blank"
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<img src="https://cdn.jsdelivr.net/gh/simple-icons/simple-icons/icons/github.svg" alt="GitHub" width="35"
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</a>
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<a href="https://www.linkedin.com/in/jump-lander-55812b388/" target="_blank"
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<img src="https://cdn.jsdelivr.net/gh/simple-icons/simple-icons/icons/linkedin.svg" alt="LinkedIn" width="35"
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<a href="https://huggingface.co/jumplander" target="_blank"
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<img src="https://cdn.jsdelivr.net/gh/simple-icons/simple-icons/icons/huggingface.svg" alt="
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</a>
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<a href="https://dev.to/t/jumplander" target="_blank"
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<img src="https://cdn.jsdelivr.net/gh/simple-icons/simple-icons/icons/dev-dot-to.svg" alt="Dev.to" width="35"
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</a>
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</div>
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# 🚀 [JumpLander Coder 32B](https://jumplander.org)
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---
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## 🌟
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JumpLander Coder 32B is designed to deliver:
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> ⚠️ Model weights and tokenizer are not released yet.
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## 📊
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<img src="https://cdn-uploads.huggingface.co/production/uploads/69204763af796f2f22ad9f49/A8r0WUkLpEhDAh7Z8Xajx.jpeg" width="600"/>
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- ✔
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- ✔
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- ❌ No model weights
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- 🚀 Future
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- Rapid application scaffolding
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- Teaching
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>
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##
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- `README.md` — project introduction
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- `LICENSE` — proprietary license placeholder
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---
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```python
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from jumplander_sdk import JumplanderClient
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client = JumplanderClient(api_key="YOUR_KEY")
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# Scaffold a FastAPI app with JWT
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project = client.scaffold(
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"Create a FastAPI service with JWT auth and PostgreSQL integration",
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language="python"
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)
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project.save("./generated_app")
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# Refactor an existing repository
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patches = client.refactor("./myrepo", intent="improve architecture and modularity")
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client.apply_patches(patches)
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---
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license: other
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license_name: proprietary
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license_link: LICENSE
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---
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<!-- ================= Social Links ================= -->
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<img src="https://jumplander.org/assets/logo.png" width="200"/>
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<div style="display: flex; gap: 15px; align-items: center;">
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<a href="https://github.com/jumplander-readme" target="_blank">
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<img src="https://cdn.jsdelivr.net/gh/simple-icons/simple-icons/icons/github.svg" alt="GitHub" width="35"/>
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</a>
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<a href="https://www.linkedin.com/in/jump-lander-55812b388/" target="_blank">
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<img src="https://cdn.jsdelivr.net/gh/simple-icons/simple-icons/icons/linkedin.svg" alt="LinkedIn" width="35"/>
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</a>
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<a href="https://huggingface.co/jumplander" target="_blank">
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<img src="https://cdn.jsdelivr.net/gh/simple-icons/simple-icons/icons/huggingface.svg" alt="HuggingFace" width="35"/>
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</a>
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<a href="https://dev.to/t/jumplander" target="_blank">
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<img src="https://cdn.jsdelivr.net/gh/simple-icons/simple-icons/icons/dev-dot-to.svg" alt="Dev.to" width="35"/>
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</a>
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</div>
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---
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# 🚀 JumpLander Coder 32B
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**Advanced Code-Generation LLM — optimized for Persian-speaking developers**
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_This is a documentation-only release. Model weights will be published in the upcoming open-source launch._
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---
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## 🌟 Overview
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JumpLander Coder 32B is a high-performance, bilingual (English–Persian) code-generation LLM designed to deliver:
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- High-quality, executable code generation ⚡
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- Multi-file reasoning & architecture-level analysis 🧩
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- Security-aware and refactoring-optimized outputs 🛡️
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- Enhanced usability for Persian-speaking developers 🇮🇷
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> ⚠️ Model weights and tokenizer are not released yet.
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## 📊 Current Status
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<img src="https://cdn-uploads.huggingface.co/production/uploads/69204763af796f2f22ad9f49/A8r0WUkLpEhDAh7Z8Xajx.jpeg" width="600"/>
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- ✔ Documentation available
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- ✔ Benchmarks included
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- ❌ No model weights available yet
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- 🚀 Future open-source release planned
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# 🧪 Benchmarks (Prototype)
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| Task | Score | Notes |
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| **HumanEval** | **72%** | Strong execution accuracy |
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| **Repo-level Q&A** | High | Multi-file reasoning stability |
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| **Persian Instruction Following** | **Excellent** | Bilingual optimization |
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---
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# 📦 Model Comparison (Prototype Benchmarks)
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| Model | Params | HumanEval | Multi-file Reasoning | Persian Support | Speed (tok/s) | Open-source |
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| **JumpLander Coder 32B** | 32B | **72%** | **✔ Strong** | **Excellent** | 34 | Planned |
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| Qwen2.5-Coder 32B | 32B | 75% | Medium | Weak | 32 | ✔ |
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| DeepSeek-Coder 33B | 33B | 79% | Strong | Weak | 29 | ✔ |
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| StarCoder2 15B | 15B | 63% | Limited | Weak | **45** | ✔ |
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| Llama-3.1 70B | 70B | **82%** | Strong | Weak | 20 | ✔ |
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---
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# 💡 Why Choose JumpLander Coder 32B?
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> ### 🧠 Stronger multi-file reasoning
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> Built for architecture-level understanding and repository-wide analysis.
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> ### 🇮🇷 Optimized for Persian-speaking developers
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> Enhanced bilingual dataset and instruction tuning for real-world Persian workflows.
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> ### 🛡️ Secure-by-design coding
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> Refactoring, patch suggestions, and safe coding patterns included by design.
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> ### ⚡ Developer-centric workflow
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> SDK, CLI, test-generation, repo-analysis, and future IDE integrations.
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## 🎯 Intended Use Cases
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- Rapid application scaffolding
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- Full repository refactoring
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- Code debugging & architecture inspection
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- Documentation and API spec generation
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- Teaching and learning programming (English + Persian)
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> ⚠️ Not intended for unreviewed deployment in safety-critical systems.
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## 🗂 Repository Structure
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- `README.md` — project introduction
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- `LICENSE` — proprietary license placeholder
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_No model weights available until public release._
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---
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# 🛠 Planned Capabilities
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- Repository-wide code generation
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- Multi-language support: Python, JS/TS, Go, Rust, Java, C/C++, Bash, SQL
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- Refactoring automation & patch suggestions
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- Test generation (unit, integration, regression)
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- Long-context reasoning
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- CLI, SDK, and IDE extensions
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# 💻 Example Usage (Future API)
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```python
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from jumplander_sdk import JumplanderClient
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client = JumplanderClient(api_key="YOUR_KEY")
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# Scaffold a FastAPI app with JWT + PostgreSQL
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project = client.scaffold(
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"Create a FastAPI service with JWT auth and PostgreSQL integration",
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language="python"
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)
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project.save("./generated_app")
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# Refactor an existing repository
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patches = client.refactor("./myrepo", intent="improve architecture and modularity")
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client.apply_patches(patches)
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