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.
- 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
| /** | |
| * Drag-and-drop state machine for the ChatScreen. | |
| * | |
| * Tracks pointer enter/leave nesting so the overlay stays visible while the | |
| * cursor traverses child elements, then routes the dropped files either to | |
| * the active message-edit handler (if a message is being edited) or to the | |
| * caller's onDrop callback. | |
| */ | |
| import { getAddFilesHandler, isEditing } from '$lib/stores/chat.svelte'; | |
| interface UseChatScreenDragAndDropOptions { | |
| /** Called when the user drops files and no message is being edited. */ | |
| onDrop: (files: File[]) => void; | |
| } | |
| export function useChatScreenDragAndDrop(options: UseChatScreenDragAndDropOptions) { | |
| let dragCounter = $state(0); | |
| let isDragOver = $state(false); | |
| function handleDragEnter(event: DragEvent) { | |
| event.preventDefault(); | |
| dragCounter++; | |
| if (event.dataTransfer?.types.includes('Files')) { | |
| isDragOver = true; | |
| } | |
| } | |
| function handleDragLeave(event: DragEvent) { | |
| event.preventDefault(); | |
| dragCounter--; | |
| if (dragCounter === 0) { | |
| isDragOver = false; | |
| } | |
| } | |
| function handleDragOver(event: DragEvent) { | |
| event.preventDefault(); | |
| } | |
| async function handleDrop(event: DragEvent) { | |
| event.preventDefault(); | |
| isDragOver = false; | |
| dragCounter = 0; | |
| if (!event.dataTransfer?.files) return; | |
| const files = Array.from(event.dataTransfer.files); | |
| if (isEditing()) { | |
| const handler = getAddFilesHandler(); | |
| if (handler) { | |
| handler(files); | |
| return; | |
| } | |
| } | |
| options.onDrop(files); | |
| } | |
| return { | |
| get isDragOver() { | |
| return isDragOver; | |
| }, | |
| dragHandlers: { | |
| dragenter: handleDragEnter, | |
| dragleave: handleDragLeave, | |
| dragover: handleDragOver, | |
| drop: handleDrop | |
| } | |
| }; | |
| } | |