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: 3,566 Bytes
8efb28e | 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 | import { mkdirSync, readFileSync, writeFileSync } from 'node:fs';
import { dirname, resolve } from 'node:path';
import { fileURLToPath } from 'node:url';
const HERE = dirname(fileURLToPath(import.meta.url));
const PROJECT_ROOT = resolve(HERE, '..');
const DEFAULT_LOGO = resolve(PROJECT_ROOT, 'src/lib/assets/logo.svg');
const DEFAULT_OUT_DIR = resolve(PROJECT_ROOT, 'static');
const DEFAULT_OUT_LIGHT = resolve(DEFAULT_OUT_DIR, 'favicon.svg');
const DEFAULT_OUT_DARK = resolve(DEFAULT_OUT_DIR, 'favicon-dark.svg');
const CURRENT_COLOR = 'currentColor';
export interface ColorizedFavicon {
light: string;
dark: string;
}
export interface WriteThemeFaviconsOptions {
sourcePath?: string;
lightOutPath?: string;
darkOutPath?: string;
/**
* Fraction of the icon (0..1) to leave as an even margin on each side.
* Applied by wrapping the inner content in a `<g transform="...">` so the
* source `src/lib/assets/logo.svg` is not modified. Pass 0 to disable.
*/
padding?: number;
}
/**
* Replace every `currentColor` occurrence in the SVG with the given color.
* Pure: no filesystem access, so it is straightforward to unit-test.
*/
export function colorizeFaviconSvg(
svg: string,
lightColor: string,
darkColor: string
): ColorizedFavicon {
return {
light: svg.replaceAll(CURRENT_COLOR, lightColor),
dark: svg.replaceAll(CURRENT_COLOR, darkColor)
};
}
/**
* Shrink the inner SVG content uniformly and re-center it so `padding` (a
* 0..1 fraction) is reserved as equal margin on each side. Returns the input
* unchanged for non-positive padding, missing/invalid `viewBox`, or unexpected
* markup so the caller always gets a renderable SVG.
*/
export function padFaviconSvg(svg: string, padding: number): string {
if (!(padding > 0) || padding >= 1) return svg;
const viewBoxMatch = svg.match(/viewBox\s*=\s*["']([^"']+)["']/i);
if (!viewBoxMatch) return svg;
const parts = viewBoxMatch[1]
.trim()
.split(/[\s,]+/)
.map(Number);
if (parts.length !== 4 || parts.some((n) => !Number.isFinite(n))) return svg;
const [, , width, height] = parts;
if (width <= 0 || height <= 0) return svg;
const scale = 1 - padding;
const translateX = (padding * width) / 2;
const translateY = (padding * height) / 2;
const openTagStart = svg.search(/<svg\b/i);
if (openTagStart === -1) return svg;
const openTagEnd = svg.indexOf('>', openTagStart);
if (openTagEnd === -1) return svg;
const closeStart = svg.lastIndexOf('</svg');
if (closeStart === -1 || closeStart <= openTagEnd) return svg;
const openTag = svg.slice(0, openTagEnd + 1);
const inner = svg.slice(openTagEnd + 1, closeStart);
const closeTag = svg.slice(closeStart);
const group = `<g transform="translate(${translateX} ${translateY}) scale(${scale})">`;
return `${openTag}${group}${inner}</g>${closeTag}`;
}
/**
* Read `src/lib/assets/logo.svg`, colorize it for both themes, and write
* the results to the static directory so the PWA asset generator can consume
* them. Paths can be overridden for tests.
*/
export function writeThemeFavicons(
lightColor: string,
darkColor: string,
{
sourcePath = DEFAULT_LOGO,
lightOutPath = DEFAULT_OUT_LIGHT,
darkOutPath = DEFAULT_OUT_DARK,
padding = 0
}: WriteThemeFaviconsOptions = {}
): void {
const source = readFileSync(sourcePath, 'utf-8');
const { light, dark } = colorizeFaviconSvg(source, lightColor, darkColor);
mkdirSync(dirname(lightOutPath), { recursive: true });
writeFileSync(lightOutPath, padFaviconSvg(light, padding));
writeFileSync(darkOutPath, padFaviconSvg(dark, padding));
}
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