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 /actions /ActionIcon.svelte

tda45

Upload folder using huggingface_hub (part 7)

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	<script lang="ts">
	import { Button, type ButtonVariant, type ButtonSize } from '$lib/components/ui/button';
	import * as Tooltip from '$lib/components/ui/tooltip';
	import type { Component } from 'svelte';
	import { TooltipSide } from '$lib/enums';

	interface Props {
	ariaLabel?: string;
	class?: string;
	disabled?: boolean;
	href?: string;
	icon: Component;
	iconSize?: string;
	onclick?: (e?: MouseEvent) => void;
	size?: ButtonSize;
	stopPropagationOnClick?: boolean;
	tooltip?: string;
	variant?: ButtonVariant;
	tooltipSide?: TooltipSide;
	}

	let {
	icon,
	tooltip,
	variant = 'ghost',
	href = '',
	size = 'sm',
	class: className = '',
	disabled = false,
	iconSize = 'h-3 w-3',
	tooltipSide = TooltipSide.TOP,
	stopPropagationOnClick = false,
	onclick,
	ariaLabel
	}: Props = $props();

	let innerWidth = $state(0);
	const showTooltip = $derived(!!tooltip && innerWidth > 768);
	</script>

	{#snippet button(props = {})}
	<Button
	{...props}
	{href}
	{variant}
	{size}
	{disabled}
	onclick={(e: MouseEvent) => {
	if (stopPropagationOnClick) e.stopPropagation();

	onclick?.(e);
	}}
	class="h-6 w-6 p-0 {className} flex hover:bg-transparent data-[state=open]:bg-transparent!"
	aria-label={ariaLabel \|\| tooltip}
	>
	{#if icon}
	{@const IconComponent = icon}

	<IconComponent class={iconSize} />
	{/if}
	</Button>
	{/snippet}

	{#if showTooltip}
	<Tooltip.Root>
	<Tooltip.Trigger>
	<!-- prevent another nested button element -->
	{#snippet child({ props })}
	{@render button(props)}
	{/snippet}
	</Tooltip.Trigger>

	<Tooltip.Content side={tooltipSide}>
	<p>{tooltip}</p>
	</Tooltip.Content>
	</Tooltip.Root>
	{:else}
	{@render button({ href })}
	{/if}

	<svelte:window bind:innerWidth />