| # SciTools | |
| SciTools builds software for **deep code comprehension, analysis, and onboarding**. | |
| For over two decades, SciTools has helped developers, security teams, and organizations understand large, complex codebases — especially those that are unfamiliar, legacy, or safety-critical. | |
| Our flagship products focus on answering hard questions about code: | |
| - How does this system really work? | |
| - Where are the risks, dependencies, and design boundaries? | |
| - How can new developers become productive faster? | |
| --- | |
| ## Available Models | |
| | Model Family | Parameters | Model | Quantization | Direct Download | | |
| |-------------|------------|-------|--------------|-----------------| | |
| | Alibaba Cloud Qwen3 | 1.7 Billion | Qwen3-1.7B | Q4_K_M | [Download](https://huggingface.co/SciTools/Qwen3/resolve/main/Qwen3-1.7B-Q4_K_M.gguf?download=true) | | |
| | Alibaba Cloud Qwen3 | 4 Billion | Qwen3-4B | Q4_K_M | [Download](https://huggingface.co/SciTools/Qwen3/resolve/main/Qwen3-4B-Q4_K_M.gguf?download=true) | | |
| | Alibaba Cloud Qwen3 | 8 Billion | Qwen3-8B | Q4_K_M | [Download](https://huggingface.co/SciTools/Qwen3/resolve/main/Qwen3-8B-Q4_K_M.gguf?download=true) | | |
| | IBM Granite 4 | 3 Billion | Granite-4.0-Micro | Q4_K_M | [Download](https://huggingface.co/SciTools/Granite4.0/resolve/main/granite-4.0-micro-Q4_K_M.gguf?download=true) | | |
| [Help me choose a local LLM for Understand](https://support.scitools.com/support/solutions/articles/70000680303-choosing-a-local-llm-for-understand) | |
| --- | |
| ## What We Build | |
| **Understand** | |
| A static code analysis and comprehension platform that provides rich insight into code structure, dependencies, metrics, and architecture across many programming languages. | |
| **Onboard** | |
| An AI-assisted web tool designed to help developers explore and understand codebases more effectively by combining static analysis with local language models. | |
| --- | |
| ## Our Approach to AI | |
| We focus on **local, transparent, and developer-controlled AI**. | |
| - Models run locally whenever possible | |
| - Clear model provenance and reproducibility | |
| - No hidden fine-tuning or prompt manipulation | |
| - Designed to integrate with real engineering workflows | |
| The models hosted here are provided to support SciTools products as well as other GGUF-compatible tools. | |
| --- | |
| ## Who Uses SciTools | |
| SciTools products are used by: | |
| - Software engineers and architects | |
| - Security and assurance teams | |
| - Organizations working with large or long-lived codebases | |
| - Teams operating in regulated or high-assurance environments | |
| --- | |
| ## Learn More | |
| - Website: https://scitools.com | |
| - Documentation & Support: https://support.scitools.com | |
| --- | |
| SciTools is a small, engineering-focused company. | |
| We value clarity, correctness, and tools that earn trust over time. | |