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 /settings-keys.ts

tda45

Upload folder using huggingface_hub (part 8)

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	/**
	* Settings key constants for ChatSettings configuration.
	*
	* These keys correspond to properties in SettingsConfigType and are used
	* in settings field configurations to ensure consistency.
	*/
	export const SETTINGS_KEYS = {
	// General
	THEME: 'theme',
	API_KEY: 'apiKey',
	SYSTEM_MESSAGE: 'systemMessage',
	PASTE_LONG_TEXT_TO_FILE_LEN: 'pasteLongTextToFileLen',
	COPY_TEXT_ATTACHMENTS_AS_PLAIN_TEXT: 'copyTextAttachmentsAsPlainText',
	SEND_ON_ENTER: 'sendOnEnter',
	ENABLE_CONTINUE_GENERATION: 'enableContinueGeneration',
	PDF_AS_IMAGE: 'pdfAsImage',
	ASK_FOR_TITLE_CONFIRMATION: 'askForTitleConfirmation',
	TITLE_GENERATION_USE_FIRST_LINE: 'titleGenerationUseFirstLine',
	TITLE_GENERATION_USE_LLM: 'titleGenerationUseLLM',
	TITLE_GENERATION_PROMPT: 'titleGenerationPrompt',
	MAX_IMAGE_RESOLUTION: 'maxImageMPixels',
	// Display
	SHOW_MESSAGE_STATS: 'showMessageStats',
	SHOW_THOUGHT_IN_PROGRESS: 'showThoughtInProgress',
	KEEP_STATS_VISIBLE: 'keepStatsVisible',
	AUTO_MIC_ON_EMPTY: 'autoMicOnEmpty',
	RENDER_USER_CONTENT_AS_MARKDOWN: 'renderUserContentAsMarkdown',
	DISABLE_AUTO_SCROLL: 'disableAutoScroll',
	ALWAYS_SHOW_SIDEBAR_ON_DESKTOP: 'alwaysShowSidebarOnDesktop',
	FULL_HEIGHT_CODE_BLOCKS: 'fullHeightCodeBlocks',
	SHOW_RAW_MODEL_NAMES: 'showRawModelNames',
	SHOW_MODEL_QUANTIZATION: 'showModelQuantization',
	SHOW_MODEL_TAGS: 'showModelTags',
	SHOW_BUILD_VERSION: 'showBuildVersion',
	SHOW_SYSTEM_MESSAGE: 'showSystemMessage',
	RENDER_THINKING_AS_MARKDOWN: 'renderThinkingAsMarkdown',
	// Sampling
	TEMPERATURE: 'temperature',
	DYNATEMP_RANGE: 'dynatemp_range',
	DYNATEMP_EXPONENT: 'dynatemp_exponent',
	TOP_K: 'top_k',
	TOP_P: 'top_p',
	MIN_P: 'min_p',
	XTC_PROBABILITY: 'xtc_probability',
	XTC_THRESHOLD: 'xtc_threshold',
	TYP_P: 'typ_p',
	MAX_TOKENS: 'max_tokens',
	SAMPLERS: 'samplers',
	BACKEND_SAMPLING: 'backend_sampling',
	// Penalties
	REPEAT_LAST_N: 'repeat_last_n',
	REPEAT_PENALTY: 'repeat_penalty',
	PRESENCE_PENALTY: 'presence_penalty',
	FREQUENCY_PENALTY: 'frequency_penalty',
	DRY_MULTIPLIER: 'dry_multiplier',
	DRY_BASE: 'dry_base',
	DRY_ALLOWED_LENGTH: 'dry_allowed_length',
	DRY_PENALTY_LAST_N: 'dry_penalty_last_n',
	// MCP
	MCP_SERVERS: 'mcpServers',
	MCP_REQUEST_TIMEOUT_SECONDS: 'mcpRequestTimeoutSeconds',
	MCP_DEFAULT_SERVER_OVERRIDES: 'mcpDefaultServerOverrides',
	AGENTIC_MAX_TURNS: 'agenticMaxTurns',
	ALWAYS_SHOW_AGENTIC_TURNS: 'alwaysShowAgenticTurns',
	AGENTIC_MAX_TOOL_PREVIEW_LINES: 'agenticMaxToolPreviewLines',
	SHOW_TOOL_CALL_IN_PROGRESS: 'showToolCallInProgress',
	// Performance
	PRE_ENCODE_CONVERSATION: 'preEncodeConversation',
	// Developer
	DISABLE_REASONING_PARSING: 'disableReasoningParsing',
	EXCLUDE_REASONING_FROM_CONTEXT: 'excludeReasoningFromContext',
	ENABLE_THINKING: 'enableThinking',
	SHOW_RAW_OUTPUT_SWITCH: 'showRawOutputSwitch',
	// PY_INTERPRETER_ENABLED: 'pyInterpreterEnabled',
	JS_SANDBOX_ENABLED: 'jsSandboxEnabled',
	CUSTOM_JSON: 'customJson',
	CUSTOM_CSS: 'customCss'
	} as const;