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
| <script module lang="ts"> | |
| import { defineMeta } from '@storybook/addon-svelte-csf'; | |
| import SidebarNavigation from '$lib/components/app/navigation/SidebarNavigation/SidebarNavigation.svelte'; | |
| import { waitFor } from 'storybook/test'; | |
| import { screen } from 'storybook/test'; | |
| const { Story } = defineMeta({ | |
| title: 'Components/SidebarNavigation', | |
| component: SidebarNavigation, | |
| parameters: { | |
| layout: 'centered' | |
| } | |
| }); | |
| </script> | |
| <script lang="ts"> | |
| // Mock conversations for the sidebar | |
| const mockConversations: DatabaseConversation[] = [ | |
| { | |
| id: 'conv-1', | |
| name: 'Getting Started with AI', | |
| lastModified: Date.now() - 1000 * 60 * 5, // 5 minutes ago | |
| currNode: 'msg-1' | |
| }, | |
| { | |
| id: 'conv-2', | |
| name: 'Python Programming Help', | |
| lastModified: Date.now() - 1000 * 60 * 60 * 2, // 2 hours ago | |
| currNode: 'msg-2' | |
| }, | |
| { | |
| id: 'conv-3', | |
| name: 'Creative Writing Ideas', | |
| lastModified: Date.now() - 1000 * 60 * 60 * 24, // 1 day ago | |
| currNode: 'msg-3' | |
| }, | |
| { | |
| id: 'conv-4', | |
| name: 'This is a very long conversation title that should be truncated properly when displayed', | |
| lastModified: Date.now() - 1000 * 60 * 60 * 24 * 3, // 3 days ago | |
| currNode: 'msg-4' | |
| }, | |
| { | |
| id: 'conv-5', | |
| name: 'Math Problem Solving', | |
| lastModified: Date.now() - 1000 * 60 * 60 * 24 * 7, // 1 week ago | |
| currNode: 'msg-5' | |
| } | |
| ]; | |
| </script> | |
| <Story | |
| asChild | |
| name="Default" | |
| play={async () => { | |
| const { conversationsStore } = await import('$lib/stores/conversations.svelte'); | |
| waitFor(() => | |
| setTimeout(() => { | |
| conversationsStore.conversations = mockConversations; | |
| }, 0) | |
| ); | |
| }} | |
| > | |
| <div class="flex-column h-screen w-72 bg-background"> | |
| <SidebarNavigation /> | |
| </div> | |
| </Story> | |
| <Story | |
| asChild | |
| name="SearchActive" | |
| play={async ({ userEvent }) => { | |
| const { conversationsStore } = await import('$lib/stores/conversations.svelte'); | |
| waitFor(() => | |
| setTimeout(() => { | |
| conversationsStore.conversations = mockConversations; | |
| }, 0) | |
| ); | |
| // Expand sidebar first, then click Search in the expanded button list | |
| const logoTrigger = screen.getByRole('button', { name: /expand navigation/i }); | |
| await userEvent.click(logoTrigger); | |
| const searchTrigger = screen.getByText('Search'); | |
| userEvent.click(searchTrigger); | |
| }} | |
| > | |
| <div class="flex-column h-screen w-72 bg-background"> | |
| <SidebarNavigation /> | |
| </div> | |
| </Story> | |
| <Story | |
| asChild | |
| name="Empty" | |
| play={async () => { | |
| // Mock empty conversations store | |
| const { conversationsStore } = await import('$lib/stores/conversations.svelte'); | |
| conversationsStore.conversations = []; | |
| }} | |
| > | |
| <div class="flex-column h-screen w-72 bg-background"> | |
| <SidebarNavigation /> | |
| </div> | |
| </Story> | |