Instructions to use tda45/TdAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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

TdAI / llama.cpp /tools /ui /src /lib /components /app /server /index.ts

tda45

Upload folder using huggingface_hub (part 8)

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	/**
	*
	* SERVER
	*
	* Components for displaying server connection state and handling
	* connection errors. Integrates with serverStore for state management.
	*
	*/

	/**
	* ServerStatus - Server connection status indicator
	*
	* Compact status display showing connection state, model name,
	* and context size. Used in headers and loading screens.
	*
	* Architecture:
	* - Reads state from serverStore (props, loading, error)
	* - Displays model name from modelsStore
	*
	* Features:
	* - Status dot: green (connected), yellow (connecting), red (error), gray (unknown)
	* - Status text label
	* - Model name badge with icon
	* - Context size badge
	* - Optional error action button
	*
	* @example
	* ```svelte
	* <ServerStatus showActions />
	* ```
	*/
	export { default as ServerStatus } from './ServerStatus.svelte';

	/**
	* ServerErrorSplash - Full-screen connection error display
	*
	* Blocking error screen shown when server connection fails.
	* Provides retry options and API key input for authentication errors.
	*
	* Architecture:
	* - Detects access denied errors for API key flow
	* - Validates API key against server before saving
	* - Integrates with settingsStore for API key persistence
	*
	* Features:
	* - Error message display with icon
	* - Retry connection button with loading state
	* - API key input for authentication errors
	* - API key validation with success/error feedback
	* - Troubleshooting section with server start commands
	* - Animated transitions for UI elements
	*
	* @example
	* ```svelte
	* <ServerErrorSplash
	* error={serverError}
	* onRetry={handleRetry}
	* showTroubleshooting
	* />
	* ```
	*/
	export { default as ServerErrorSplash } from './ServerErrorSplash.svelte';

	/**
	* ServerLoadingSplash - Full-screen loading display
	*
	* Shown during initial server connection. Displays loading animation
	* with ServerStatus component for real-time connection state.
	*
	* Features:
	* - Animated server icon
	* - Customizable loading message
	* - Embedded ServerStatus for live updates
	*
	* @example
	* ```svelte
	* <ServerLoadingSplash message="Connecting to server..." />
	* ```
	*/
	export { default as ServerLoadingSplash } from './ServerLoadingSplash.svelte';