by Raskoll2 · Agent Tool · ★ 167
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
LLM Calculator This tool estimates the memory requirements and performance of Hugging Face models based on quantization levels. It fetches model parameters, calculates required memory, and analyzes performance with different RAM/VRAM configurations. Supports Windows, Linux, and macOS, as well as AMD, Intel, and Nvidia GPUs. If you're using an Nvidia GPU, you'll need (which comes with the CUDA toolkit) installed for detection. Warning: This tool is mostly tested on Linux + Nvidia. Results may be inaccurate on other setups. Multi-GPU support is experimental—if it doesn't work, use to specify the number of identical GPUs. If you're mixing GPUs (e.g., RTX 3070 + RTX 3060), manually set and to the averaged values. Installation & Setup You'll need Python (3.12.3 recommended, but any modern version should work). Install Dependencies Install uv and run: For AMD + Linux: For Nvidia: Ensure drivers are installed. If works, this program should too. For Intel: Requires (Linux). Not sure about Windows support. Usage GUI Mode Run: This launches a graphical interface where you can enter a Hugging Face model ID (e.g., ) to see its parameter count and memory requirements. CLI Mode Run: sh
| Stars | 167 |
| Forks | 13 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67.55872433423/100 |
| Open Issues | 3 |
| Last Updated | 2025-01-30 |
| Created | 2025-01-27 |
| Platforms | python |
| Est. Tokens | ~10k |
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LLMcalc is A tool to determine whether or not your PC can run a given LLM. It is categorized as a Agent Tool with 167 GitHub stars.
LLMcalc is primarily written in Python.
You can find installation instructions and usage details in the LLMcalc GitHub repository at github.com/Raskoll2/LLMcalc. The project has 167 stars and 13 forks, indicating an active community.
LLMcalc is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to LLMcalc on Agent Skills Hub include claude-forge, excalidraw-diagram-skill, agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.