turboquant
ShipItAndPray/mcp-turboquant
LLM quantization: convert models to GGUF, GPTQ and AWQ, recommend quantization settings, evaluate quality and push to Hugging Face Hub.
- Local integrations
Installation, supported tools and required credentials are maintained by the project.
Project details
- GitHub stars
- 5
- Language
- Python
- License
- MIT
- Forks
- 1
- Latest release
- v1.0.07mo ago
- Activity
- updated 6mo ago
- Platforms listed
- macOS, Windows, Linux
- gguf
- llm
- mcp
- mcp-server
- quantization
- turboquant
First MCP server?Start with the basics
Create validated, maintainable data charts and dashboards with Vizro tools and templates.
Convert almost any file or web content into Markdown.
Interact with Jupyter.
Data quality evaluation with Dingo: run rule-based and LLM-based evaluations and list its rules and prompts.
Autonomous data exploration of CSV datasets with generated insights.
Interact with and control Jupyter Notebooks.
Forecasting and prediction with Chronulus AI agents.
Orchestrate hyperparameter search and other optimization tasks with Optuna.