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 /scripts /dev.sh

tda45

Upload folder using huggingface_hub (part 7)

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	#!/bin/bash

	# Development script for llama-ui
	#
	# This script starts the llama-ui development servers (Storybook and Vite).
	# Note: You need to start llama-server separately.
	#
	# Usage:
	# bash scripts/dev.sh
	# npm run dev

	cd ../../

	# Ensure node_modules are installed
	if [ ! -d "tools/ui/node_modules" ]; then
	echo "📦 Installing npm dependencies..."
	cd tools/ui && npm install && cd ../../
	fi

	# Check and install git hooks if missing
	check_and_install_hooks() {
	local hooks_missing=false

	# Check for required hooks
	if [ ! -f ".git/hooks/pre-commit" ] \|\| [ ! -f ".git/hooks/pre-push" ]; then
	hooks_missing=true
	fi

	if [ "$hooks_missing" = true ]; then
	echo "🔧 Git hooks missing, installing them..."
	if bash "$(dirname "$0")/git-hooks/install.sh"; then
	echo "✅ Git hooks installed successfully"
	else
	echo "⚠️ Failed to install git hooks, continuing anyway..."
	fi
	else
	echo "✅ Git hooks already installed"
	fi
	}

	# Install git hooks if needed
	check_and_install_hooks

	# Cleanup function
	cleanup() {
	echo "🧹 Cleaning up..."
	exit
	}

	# Set up signal handlers
	trap cleanup SIGINT SIGTERM

	echo "🚀 Starting development servers..."
	echo "📝 Note: Make sure to start llama-server separately if needed"
	cd tools/ui
	# Use --insecure-http-parser to handle malformed HTTP responses from llama-server
	# (some responses have both Content-Length and Transfer-Encoding headers)
	storybook dev -p 6006 --ci & NODE_OPTIONS="--insecure-http-parser" vite dev --host 0.0.0.0 &

	# Wait for all background processes
	wait