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 { describe, expect, it } from 'vitest'; | |
| import { capImageDataURLSize } from '$lib/utils/cap-img-size'; | |
| import { getJpegOrientationFromDataURL } from '$lib/utils/jpeg-orientation'; | |
| // Real 64x32 jpegs generated with Pillow, quality 90. The upright picture is | |
| // four solid quadrants: top left red, top right green, bottom left blue, | |
| // bottom right yellow. For each exif value the stored pixels are inverse | |
| // transposed so a conforming decoder shows the upright picture, exactly like | |
| // a rotated smartphone photo. | |
| const EXIF1 = `data:image/jpeg;base64,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`; | |
| const EXIF3 = `data:image/jpeg;base64,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`; | |
| const EXIF5 = `data:image/jpeg;base64,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`; | |
| const EXIF6 = `data:image/jpeg;base64,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`; | |
| const EXIF8 = `data:image/jpeg;base64,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`; | |
| const NOEXIF = `data:image/jpeg;base64,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`; | |
| const RED: Rgb = [255, 0, 0]; | |
| const GREEN: Rgb = [0, 200, 0]; | |
| const BLUE: Rgb = [0, 0, 255]; | |
| const YELLOW: Rgb = [255, 220, 0]; | |
| // Wide tolerance per channel, jpeg compression shifts solid colors a bit | |
| const COLOR_TOLERANCE = 70; | |
| // 0.000512 megapixels is 512 pixels, a quarter of the area of the 2048 pixel fixtures | |
| const QUARTER_AREA_MEGAPIXELS = 0.000512; | |
| type Rgb = [number, number, number]; | |
| function loadImage(dataUrl: string): Promise<HTMLImageElement> { | |
| return new Promise((resolve, reject) => { | |
| const img = new Image(); | |
| img.onload = () => resolve(img); | |
| img.onerror = () => reject(new Error('Failed to decode image.')); | |
| img.src = dataUrl; | |
| }); | |
| } | |
| // Decodes a data URL and samples the center of each quadrant of the picture | |
| async function quadrantColors(dataUrl: string): Promise<Rgb[]> { | |
| const img = await loadImage(dataUrl); | |
| const canvas = document.createElement('canvas'); | |
| canvas.width = img.naturalWidth; | |
| canvas.height = img.naturalHeight; | |
| const ctx = canvas.getContext('2d')!; | |
| ctx.drawImage(img, 0, 0); | |
| const points = [ | |
| [0.25, 0.25], | |
| [0.75, 0.25], | |
| [0.25, 0.75], | |
| [0.75, 0.75] | |
| ]; | |
| return points.map(([fx, fy]) => { | |
| const d = ctx.getImageData( | |
| Math.floor(canvas.width * fx), | |
| Math.floor(canvas.height * fy), | |
| 1, | |
| 1 | |
| ).data; | |
| return [d[0], d[1], d[2]]; | |
| }); | |
| } | |
| function expectUpright(colors: Rgb[]) { | |
| const targets = [RED, GREEN, BLUE, YELLOW]; | |
| for (let i = 0; i < 4; i++) { | |
| for (let c = 0; c < 3; c++) { | |
| expect(Math.abs(colors[i][c] - targets[i][c])).toBeLessThan(COLOR_TOLERANCE); | |
| } | |
| } | |
| } | |
| describe('capImageDataURLSize orientation and capping', () => { | |
| it('passes upright jpegs through untouched when capping is disabled', async () => { | |
| expect(await capImageDataURLSize(EXIF1, 0)).toBe(EXIF1); | |
| expect(await capImageDataURLSize(NOEXIF, 0)).toBe(NOEXIF); | |
| }); | |
| it('passes upright jpegs through untouched when under the cap threshold', async () => { | |
| expect(await capImageDataURLSize(EXIF1, 1)).toBe(EXIF1); | |
| }); | |
| it.each([ | |
| ['orientation 3', EXIF3], | |
| ['orientation 5', EXIF5], | |
| ['orientation 6', EXIF6], | |
| ['orientation 8', EXIF8] | |
| ])('bakes %s into upright pixels without capping', async (_label, fixture) => { | |
| const result = await capImageDataURLSize(fixture, 0); | |
| expect(result).not.toBe(fixture); | |
| const img = await loadImage(result); | |
| expect(img.naturalWidth).toBe(64); | |
| expect(img.naturalHeight).toBe(32); | |
| expectUpright(await quadrantColors(result)); | |
| // The re-encoded jpeg carries no orientation tag anymore | |
| expect(getJpegOrientationFromDataURL(result)).toBe(1); | |
| }); | |
| it('caps and bakes the orientation in a single output', async () => { | |
| const result = await capImageDataURLSize(EXIF6, QUARTER_AREA_MEGAPIXELS); | |
| const img = await loadImage(result); | |
| expect(img.naturalWidth).toBe(32); | |
| expect(img.naturalHeight).toBe(16); | |
| expectUpright(await quadrantColors(result)); | |
| expect(getJpegOrientationFromDataURL(result)).toBe(1); | |
| }); | |
| it('caps upright jpegs without disturbing the picture', async () => { | |
| const result = await capImageDataURLSize(EXIF1, QUARTER_AREA_MEGAPIXELS); | |
| const img = await loadImage(result); | |
| expect(img.naturalWidth).toBe(32); | |
| expect(img.naturalHeight).toBe(16); | |
| expectUpright(await quadrantColors(result)); | |
| }); | |
| }); | |