Safetensors
GGUF
Turkish
llama
Llama-3
instruct
finetune
chatml
gpt4
synthetic data
distillation
function calling
json mode
axolotl
roleplaying
chat
Instructions to use tda45/TdAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
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
| import { browser } from '$app/environment'; | |
| import { MEDIA_QUERIES } from '$lib/constants'; | |
| /** | |
| * iOS UA token detection. | |
| * | |
| * iPadOS 13+ ships a desktop macOS UA, so 'iPad' is no longer present in it; | |
| * a Macintosh UA combined with touch support is treated as an iPad instead. | |
| * Third-party iOS browsers (Chrome, Firefox, Edge) and in-app WKWebViews all | |
| * run on WKWebView and emit their own tokens (CriOS/FxiOS/EdgiOS/GSA) instead | |
| * of the trailing 'Safari/' the Safari app keeps. | |
| */ | |
| const UA_PATTERNS = { | |
| IOS_PHONE: /iPhone|iPod/, | |
| MACINTOSH: /Macintosh/, | |
| SAFARI: /Safari/, | |
| WEBVIEW_IOS: /CriOS|FxiOS|EdgiOS|GSA/ | |
| } as const; | |
| interface DeviceContext { | |
| /** Any iOS/iPadOS device, regardless of which app or browser embeds the page. */ | |
| isIOSDevice: boolean; | |
| /** The Safari browser app on iOS, excluding other iOS browsers and WKWebViews. */ | |
| isIOSSafari: boolean; | |
| /** Any WKWebView context on iOS: in-app browsers, embedded web views, and the | |
| * third-party iOS browsers (all of which share the WKWebView engine). */ | |
| isWKWebView: boolean; | |
| /** PWA standalone mode: the page was launched from the home screen icon. */ | |
| isStandalone: boolean; | |
| } | |
| const SERVER_DEFAULT: DeviceContext = { | |
| isIOSDevice: false, | |
| isIOSSafari: false, | |
| isWKWebView: false, | |
| isStandalone: false | |
| }; | |
| function detect(): DeviceContext { | |
| if (!browser) return SERVER_DEFAULT; | |
| const ua = navigator.userAgent; | |
| const isTouch = navigator.maxTouchPoints > 0; | |
| const isIOSDevice = UA_PATTERNS.IOS_PHONE.test(ua) || (UA_PATTERNS.MACINTOSH.test(ua) && isTouch); | |
| // Safari keeps 'Safari/' in the UA; non-Safari iOS browsers emit their own | |
| // token instead. WKWebView typically omits 'Safari/' entirely. | |
| const hasSafariToken = UA_PATTERNS.SAFARI.test(ua) && !UA_PATTERNS.WEBVIEW_IOS.test(ua); | |
| const isIOSSafari = isIOSDevice && hasSafariToken; | |
| const isWKWebView = isIOSDevice && !hasSafariToken; | |
| // navigator.standalone is the legacy iOS-only flag (deprecated but still | |
| // present); display-mode: standalone is the modern standard (Safari 16.4+). | |
| const isStandalone = | |
| window.matchMedia(MEDIA_QUERIES.DISPLAY_MODE_STANDALONE).matches || | |
| (navigator as Navigator & { standalone?: boolean }).standalone === true; | |
| return { isIOSDevice, isIOSSafari, isWKWebView, isStandalone }; | |
| } | |
| export const device = $state<DeviceContext>(detect()); | |
| if (browser) { | |
| // isStandalone can change at runtime (e.g. user installs the PWA while the | |
| // tab is open); the UA-derived flags are static for the session. | |
| const mql = window.matchMedia(MEDIA_QUERIES.DISPLAY_MODE_STANDALONE); | |
| mql.addEventListener('change', (e) => { | |
| device.isStandalone = e.matches; | |
| }); | |
| } | |