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
- 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: 3,213 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 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 | <script lang="ts">
import MermaidPreviewControls from './MermaidPreviewControls.svelte';
import { mountSvgShadow } from '$lib/utils/svg-shadow';
import { SVG_DIALOG_SHADOW_STYLE } from '$lib/constants';
interface Props {
svgHtml: string;
}
let { svgHtml }: Props = $props();
let svgHost = $state<HTMLDivElement | null>(null);
// Re-mount on every svgHtml change so a live streaming svg keeps rendering while zoomed
$effect(() => {
if (svgHost) mountSvgShadow(svgHost, svgHtml, SVG_DIALOG_SHADOW_STYLE);
});
// Zoom and pan state
let scale = $state(1);
let translateX = $state(0);
let translateY = $state(0);
let isDragging = $state(false);
const containerRef = { current: null as HTMLDivElement | null };
// Drag start position
let dragStartX = 0;
let dragStartY = 0;
let dragStartTranslateX = 0;
let dragStartTranslateY = 0;
const MIN_SCALE = 0.1;
const MAX_SCALE = 10;
const ZOOM_STEP = 0.15;
function resetView() {
scale = 1;
translateX = 0;
translateY = 0;
}
function zoomIn() {
scale = Math.min(scale + ZOOM_STEP, MAX_SCALE);
}
function zoomOut() {
scale = Math.max(scale - ZOOM_STEP, MIN_SCALE);
}
function handleWheel(event: WheelEvent) {
event.preventDefault();
const delta = event.deltaY > 0 ? -ZOOM_STEP : ZOOM_STEP;
scale = Math.min(Math.max(scale + delta, MIN_SCALE), MAX_SCALE);
}
// Imperatively attach a non-passive wheel listener so preventDefault() actually works
// (Svelte 5 wheel listeners are passive by default, making preventDefault() a no-op)
$effect(() => {
const el = containerRef.current;
if (!el) return;
function onWheel(e: WheelEvent) {
handleWheel(e);
}
el.addEventListener('wheel', onWheel, { passive: false });
return () => el.removeEventListener('wheel', onWheel);
});
function handlePointerDown(event: PointerEvent) {
if (event.button !== 0 && event.pointerType === 'mouse') return;
isDragging = true;
dragStartX = event.clientX;
dragStartY = event.clientY;
dragStartTranslateX = translateX;
dragStartTranslateY = translateY;
(event.currentTarget as HTMLElement).setPointerCapture(event.pointerId);
}
function handlePointerMove(event: PointerEvent) {
if (!isDragging) return;
translateX = dragStartTranslateX + (event.clientX - dragStartX);
translateY = dragStartTranslateY + (event.clientY - dragStartY);
}
function handlePointerUp() {
isDragging = false;
}
</script>
<div
bind:this={containerRef.current}
class="mermaid-preview relative flex items-center justify-center overflow-hidden bg-muted/20"
>
<!-- svelte-ignore a11y_no_static_element_interactions -->
<div
class="mermaid-preview-diagram transform-origin-center inline-block min-h-fit min-w-fit will-change-transform {isDragging &&
'select-none'}"
style="transform: translate({translateX}px, {translateY}px) scale({scale}); cursor: {isDragging
? 'grabbing'
: 'grab'};"
onpointerdown={handlePointerDown}
onpointermove={handlePointerMove}
onpointerup={handlePointerUp}
onpointerleave={handlePointerUp}
>
<div bind:this={svgHost}></div>
</div>
<MermaidPreviewControls
{scale}
{svgHtml}
onZoomIn={zoomIn}
onZoomOut={zoomOut}
onResetView={resetView}
/>
</div>
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