Safetensors
GGUF
Turkish
llama
Llama-3
instruct
finetune
chatml
gpt4
synthetic data
distillation
function calling
json mode
axolotl
roleplaying
chat
Instructions to use tda45/TdAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use tda45/TdAI with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="tda45/TdAI", filename="llama.cpp/models/ggml-vocab-aquila.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use tda45/TdAI 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 tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
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 tda45/TdAI # Run inference directly in the terminal: ./llama-cli -hf tda45/TdAI
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 tda45/TdAI # Run inference directly in the terminal: ./build/bin/llama-cli -hf tda45/TdAI
Use Docker
docker model run hf.co/tda45/TdAI
- LM Studio
- Jan
- Ollama
How to use tda45/TdAI with Ollama:
ollama run hf.co/tda45/TdAI
- Unsloth Studio
How to use tda45/TdAI 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 tda45/TdAI 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 tda45/TdAI to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for tda45/TdAI to start chatting
- Atomic Chat new
- Docker Model Runner
How to use tda45/TdAI with Docker Model Runner:
docker model run hf.co/tda45/TdAI
- Lemonade
How to use tda45/TdAI with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tda45/TdAI
Run and chat with the model
lemonade run user.TdAI-{{QUANT_TAG}}List all available models
lemonade list
| import { Meta } from '@storybook/addon-docs/blocks'; | |
| <Meta title="Introduction" /> | |
| # llama.cpp Web UI | |
| Welcome to the **llama-ui** component library! This Storybook showcases the components used in the modern web interface for the llama-server. | |
| ## π About This Project | |
| Llama UI is a modern web interface for the llama-server, built with SvelteKit and ShadCN UI. Features include: | |
| - **Real-time chat conversations** with AI assistants | |
| - **Multi-conversation management** with persistent storage | |
| - **Advanced parameter tuning** for model behavior | |
| - **File upload support** for multimodal interactions | |
| - **Responsive design** that works on desktop and mobile | |
| ## π¨ Design System | |
| The UI is built using: | |
| - **SvelteKit** - Modern web framework with excellent performance | |
| - **Tailwind CSS** - Utility-first CSS framework for rapid styling | |
| - **ShadCN/UI** - High-quality, accessible component library | |
| - **Lucide Icons** - Beautiful, consistent icon set | |
| ## π§ Development | |
| This Storybook serves as both documentation and a development environment for the UI components. Each story demonstrates: | |
| - **Component variations** - Different states and configurations | |
| - **Interactive examples** - Live components you can interact with | |
| - **Usage patterns** - How components work together | |
| - **Styling consistency** - Unified design language | |
| ## π Getting Started | |
| To explore the components: | |
| 1. **Browse the sidebar** to see all available components | |
| 2. **Click on stories** to see different component states | |
| 3. **Use the controls panel** to interact with component props | |
| 4. **Check the docs tab** for detailed component information | |