Instructions to use techcodebhavesh/AutoDashAnalyticsV1GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use techcodebhavesh/AutoDashAnalyticsV1GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("techcodebhavesh/AutoDashAnalyticsV1GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use techcodebhavesh/AutoDashAnalyticsV1GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf techcodebhavesh/AutoDashAnalyticsV1GGUF:F16 # Run inference directly in the terminal: llama cli -hf techcodebhavesh/AutoDashAnalyticsV1GGUF:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf techcodebhavesh/AutoDashAnalyticsV1GGUF:F16 # Run inference directly in the terminal: llama cli -hf techcodebhavesh/AutoDashAnalyticsV1GGUF:F16
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf techcodebhavesh/AutoDashAnalyticsV1GGUF:F16 # Run inference directly in the terminal: ./llama-cli -hf techcodebhavesh/AutoDashAnalyticsV1GGUF:F16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf techcodebhavesh/AutoDashAnalyticsV1GGUF:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf techcodebhavesh/AutoDashAnalyticsV1GGUF:F16
Use Docker
docker model run hf.co/techcodebhavesh/AutoDashAnalyticsV1GGUF:F16
- LM Studio
- Jan
- Ollama
How to use techcodebhavesh/AutoDashAnalyticsV1GGUF with Ollama:
ollama run hf.co/techcodebhavesh/AutoDashAnalyticsV1GGUF:F16
- Unsloth Studio
How to use techcodebhavesh/AutoDashAnalyticsV1GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for techcodebhavesh/AutoDashAnalyticsV1GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for techcodebhavesh/AutoDashAnalyticsV1GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for techcodebhavesh/AutoDashAnalyticsV1GGUF to start chatting
- Docker Model Runner
How to use techcodebhavesh/AutoDashAnalyticsV1GGUF with Docker Model Runner:
docker model run hf.co/techcodebhavesh/AutoDashAnalyticsV1GGUF:F16
- Lemonade
How to use techcodebhavesh/AutoDashAnalyticsV1GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull techcodebhavesh/AutoDashAnalyticsV1GGUF:F16
Run and chat with the model
lemonade run user.AutoDashAnalyticsV1GGUF-F16
List all available models
lemonade list
- Atomic Chat
File size: 2,335 Bytes
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language: en
tags:
- data-analytics
- dashboard
- AI
- visualization
license: mit
---
# AutoDashAnalyticsV1GGUF
AutoDashAnalyticsV1GGUF is a powerful tool designed to automate the creation of dashboards from various databases using advanced AI techniques. This model connects to SQL databases and provides interactive data visualizations through user prompts.
## Model Details
- **Model Name:** AutoDashAnalyticsV1GGUF
- **Version:** 1.0
- **Language:** English
- **License:** MIT
- **Tags:** data-analytics, dashboard, AI, visualization
## Model Description
AutoDashAnalyticsV1GGUF is developed to simplify and enhance the data analysis process for companies. It leverages a fine-tuned large language model trained on extensive datasets specifically for data analysis. The tool enables users to create detailed and interactive dashboards with minimal effort.
## Features
- **Automated Dashboard Creation:** Automatically generates dashboards from SQL databases.
- **Interactive Visualizations:** Allows users to interact with the data through prompts.
- **Advanced AI Capabilities:** Utilizes a fine-tuned LLM for comprehensive data analysis.
- **Customization:** Provides options for customizing the visualizations and data representation.
## Training Data
The model is trained on a diverse dataset comprising various SQL databases and data visualization examples. This ensures robust performance across different data types and structures.
## Performance
AutoDashAnalyticsV1GGUF has been tested extensively to ensure high accuracy and reliability in generating dashboards. The model can handle large datasets and provide insightful visualizations efficiently.
## Limitations
- The model is currently optimized for Relational databases.
- Future versions will include support for other database types.
## License
This project is licensed under the MIT License.
## Acknowledgements
We acknowledge the contributions of the open-source community and the developers who have supported this project.
## Citation
If you use this model in your research, please cite it as follows:
@misc{AutoDashAnalyticsV1GGUF,
title = {AutoDashAnalyticsV1GGUF},
year = {2024},
publisher = {Hugging Face},
journal = {Hugging Face repository},
howpublished = {\url{https://huggingface.co/techcodebhavesh/AutoDashAnalyticsV1GGUF}}
}
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