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 /constants /formatters.ts

tda45

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	export const MS_PER_SECOND = 1000;
	export const SECONDS_PER_MINUTE = 60;
	export const SECONDS_PER_HOUR = 3600;
	export const SHORT_DURATION_THRESHOLD = 1;
	export const MEDIUM_DURATION_THRESHOLD = 10;

	/** Default display value when no performance time is available */
	export const DEFAULT_PERFORMANCE_TIME = '0s';

	/** Max length before reasoning preview is truncated */
	export const MAX_PREVIEW_LENGTH = 120;

	export const STRIP_MARKDOWN_CAPTURE_PATTERNS: [RegExp, string][] = [
	[/^```(.*)/gm, '$1'],
	[/(.*)```$/gm, '$1'],
	[/`([^`]*)`/g, '$1'],
	[/\\(.?)\\*/g, '$1'],
	[/__(.*?)__/g, '$1'],
	[/\(.?)\*/g, '$1'],
	[/_(.*?)_/g, '$1']
	];

	/* eslint-disable no-misleading-character-class */
	export const STRIP_MARKDOWN_INLINE_REGEX = new RegExp(
	[
	'<[^>]*>',
	'^>\\s*',
	'^#{1,6}\\s+',
	'^[\\s][-+]\\s+',
	'^[\\s]*\\d+[.)]\\s+',
	'[\\u{1F600}-\\u{1F64F}\\u{1F300}-\\u{1F5FF}\\u{1F680}-\\u{1F6FF}\\u{1F1E0}-\\u{1F1FF}\\u{2600}-\\u{26FF}\\u{2700}-\\u{27BF}\\u{FE00}-\\u{FE0F}\\u{1F900}-\\u{1F9FF}\\u{1FA00}-\\u{1FA6F}\\u{1FA70}-\\u{1FAFF}\\u{200D}\\u{20E3}\\u{231A}-\\u{231B}\\u{23E9}-\\u{23F3}\\u{23F8}-\\u{23FA}\\u{25AA}-\\u{25AB}\\u{25B6}\\u{25C0}\\u{25FB}-\\u{25FE}\\u{2934}-\\u{2935}\\u{2B05}-\\u{2B07}\\u{2B1B}-\\u{2B1C}\\u{2B50}\\u{2B55}\\u{3030}\\u{303D}\\u{3297}\\u{3299}]'
	].join('\|'),
	'gmu'
	);
	/* eslint-enable no-misleading-character-class */