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 Desktop
- 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
- Atomic Chat
File size: 1,362 Bytes
15c3607 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | /**
* Scroll container binding and navigation guard for the ChatScreen.
*
* Binds the `AutoScrollController` to `document.documentElement`, exposes
* the container for programmatic scrolling, and flags an `isNavigating`
* window during route changes so the controller can reset without its
* scroll handler seeing spurious events from layout shifts.
*/
import { afterNavigate, beforeNavigate } from '$app/navigation';
import type { AutoScrollController } from './use-auto-scroll.svelte';
export function useChatScreenScroll(autoScroll: AutoScrollController) {
let chatScrollContainer: HTMLElement | undefined = $state();
let isNavigating = $state(false);
function handleScroll(event: UIEvent) {
// Ignore scroll events caused by navigation layout changes or by our own
// programmatic scrolls so they don't accidentally disable auto-scroll.
if (isNavigating || !event.isTrusted) return;
autoScroll.handleScroll();
}
beforeNavigate(() => {
isNavigating = true;
autoScroll.resetScrollState();
});
afterNavigate(() => {
setTimeout(() => {
isNavigating = false;
autoScroll.resetScrollState();
}, 10);
});
$effect(() => {
chatScrollContainer = document.documentElement;
autoScroll.setContainer(chatScrollContainer);
});
return {
get chatScrollContainer() {
return chatScrollContainer;
},
handleScroll
};
}
|