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 /utils /syntax-highlight-language.ts

tda45

Upload folder using huggingface_hub (part 8)

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	/**
	* Maps file extensions to highlight.js language identifiers
	*/
	export function getLanguageFromFilename(filename: string): string {
	const extension = filename.toLowerCase().substring(filename.lastIndexOf('.'));

	switch (extension) {
	// JavaScript / TypeScript
	case '.js':
	case '.mjs':
	case '.cjs':
	return 'javascript';
	case '.ts':
	case '.mts':
	case '.cts':
	return 'typescript';
	case '.jsx':
	return 'javascript';
	case '.tsx':
	return 'typescript';

	// Web
	case '.html':
	case '.htm':
	return 'html';
	case '.css':
	return 'css';
	case '.scss':
	return 'scss';
	case '.less':
	return 'less';
	case '.vue':
	return 'html';
	case '.svelte':
	return 'html';

	// Data formats
	case '.json':
	return 'json';
	case '.xml':
	return 'xml';
	case '.yaml':
	case '.yml':
	return 'yaml';
	case '.toml':
	return 'ini';
	case '.csv':
	return 'plaintext';

	// Programming languages
	case '.py':
	return 'python';
	case '.java':
	return 'java';
	case '.kt':
	case '.kts':
	return 'kotlin';
	case '.scala':
	return 'scala';
	case '.cpp':
	case '.cc':
	case '.cxx':
	case '.c++':
	return 'cpp';
	case '.c':
	return 'c';
	case '.h':
	case '.hpp':
	return 'cpp';
	case '.cs':
	return 'csharp';
	case '.go':
	return 'go';
	case '.rs':
	return 'rust';
	case '.rb':
	return 'ruby';
	case '.php':
	return 'php';
	case '.swift':
	return 'swift';
	case '.dart':
	return 'dart';
	case '.r':
	return 'r';
	case '.lua':
	return 'lua';
	case '.pl':
	case '.pm':
	return 'perl';

	// Shell
	case '.sh':
	case '.bash':
	case '.zsh':
	return 'bash';
	case '.bat':
	case '.cmd':
	return 'dos';
	case '.ps1':
	return 'powershell';

	// Database
	case '.sql':
	return 'sql';

	// Markup / Documentation
	case '.md':
	case '.markdown':
	return 'markdown';
	case '.tex':
	case '.latex':
	return 'latex';
	case '.adoc':
	case '.asciidoc':
	return 'asciidoc';

	// Config
	case '.ini':
	case '.cfg':
	case '.conf':
	return 'ini';
	case '.dockerfile':
	return 'dockerfile';
	case '.nginx':
	return 'nginx';

	// Other
	case '.graphql':
	case '.gql':
	return 'graphql';
	case '.proto':
	return 'protobuf';
	case '.diff':
	case '.patch':
	return 'diff';
	case '.log':
	return 'plaintext';
	case '.txt':
	return 'plaintext';

	default:
	return 'plaintext';
	}
	}