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 tailwindcss from '@tailwindcss/vite'; | |
| import { sveltekit } from '@sveltejs/kit/vite'; | |
| import { SvelteKitPWA } from '@vite-pwa/sveltekit'; | |
| import { dirname, resolve } from 'path'; | |
| import { fileURLToPath } from 'url'; | |
| import { defineConfig, searchForWorkspaceRoot } from 'vite'; | |
| import { storybookTest } from '@storybook/addon-vitest/vitest-plugin'; | |
| import { splashScreenPlugin } from './scripts/vite-plugin-splash-screen'; | |
| import { buildInfoPlugin } from './scripts/vite-plugin-build-info'; | |
| import { relativizeBasePlugin } from './scripts/vite-plugin-relativize-base'; | |
| import { playwright } from '@vitest/browser-playwright'; | |
| import { SVELTEKIT_PWA_OPTIONS } from './src/lib/constants/pwa'; | |
| const __dirname = dirname(fileURLToPath(import.meta.url)); | |
| const SERVER_ORIGIN = import.meta.env?.VITE_PUBLIC_SERVER_ORIGIN || 'http://localhost:8080'; | |
| // eslint-disable-next-line @typescript-eslint/no-explicit-any | |
| const browserBaseConfig: any = { | |
| enabled: true, | |
| provider: playwright({ | |
| launchOptions: { | |
| args: ['--no-sandbox'] | |
| } | |
| }), | |
| instances: [{ browser: 'chromium' }] | |
| }; | |
| export default defineConfig({ | |
| resolve: { | |
| alias: { | |
| 'katex-fonts': resolve('node_modules/katex/dist/fonts') | |
| } | |
| }, | |
| build: { | |
| assetsInlineLimit: 32000, | |
| chunkSizeWarningLimit: 3072, | |
| minify: true | |
| }, | |
| plugins: [ | |
| tailwindcss(), | |
| sveltekit(), | |
| SvelteKitPWA(SVELTEKIT_PWA_OPTIONS), | |
| splashScreenPlugin(), | |
| buildInfoPlugin(), | |
| relativizeBasePlugin() | |
| ], | |
| test: { | |
| projects: [ | |
| { | |
| extends: './vite.config.ts', | |
| test: { | |
| name: 'client', | |
| browser: browserBaseConfig, | |
| include: ['tests/client/**/*.svelte.{test,spec}.{js,ts}'], | |
| setupFiles: ['./vitest-setup-client.ts'] | |
| } | |
| }, | |
| { | |
| extends: './vite.config.ts', | |
| test: { | |
| name: 'unit', | |
| environment: 'node', | |
| include: ['tests/unit/**/*.{test,spec}.{js,ts}'] | |
| } | |
| }, | |
| { | |
| extends: './vite.config.ts', | |
| test: { | |
| name: 'ui', | |
| browser: { ...browserBaseConfig, instances: [{ browser: 'chromium', headless: true }] }, | |
| setupFiles: ['./.storybook/vitest.setup.ts'] | |
| }, | |
| plugins: [ | |
| storybookTest({ | |
| storybookScript: 'pnpm run storybook --no-open' | |
| }) | |
| ] | |
| } | |
| ] | |
| }, | |
| server: { | |
| proxy: { | |
| '/v1': SERVER_ORIGIN, | |
| '/props': SERVER_ORIGIN, | |
| '/models': SERVER_ORIGIN, | |
| '/tools': SERVER_ORIGIN, | |
| '/slots': SERVER_ORIGIN, | |
| '/cors-proxy': SERVER_ORIGIN | |
| }, | |
| headers: { | |
| 'Cross-Origin-Embedder-Policy': 'require-corp', | |
| 'Cross-Origin-Opener-Policy': 'same-origin' | |
| }, | |
| fs: { | |
| allow: [searchForWorkspaceRoot(process.cwd()), resolve(__dirname, 'tests')] | |
| } | |
| } | |
| }); | |