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 lang="ts"> | |
| import { Dialog } from 'bits-ui'; | |
| import { X } from '@lucide/svelte'; | |
| import * as DialogUI from '$lib/components/ui/dialog'; | |
| import { ChatAttachmentsPreview } from '$lib/components/app'; | |
| import { KeyboardKey } from '$lib/enums'; | |
| interface Props { | |
| open: boolean; | |
| uploadedFiles?: ChatUploadedFile[]; | |
| attachments?: DatabaseMessageExtra[]; | |
| activeModelId?: string; | |
| previewFocusIndex?: number; | |
| } | |
| let { | |
| open = $bindable(false), | |
| uploadedFiles = [], | |
| attachments = [], | |
| activeModelId, | |
| previewFocusIndex = 0 | |
| }: Props = $props(); | |
| function handleClose() { | |
| open = false; | |
| } | |
| $effect(() => { | |
| if (!open) return; | |
| function handleKeyDown(event: KeyboardEvent) { | |
| const target = event.target as HTMLElement; | |
| if (target.tagName === 'INPUT' || target.tagName === 'TEXTAREA') return; | |
| switch (event.key) { | |
| case KeyboardKey.ARROW_LEFT: | |
| event.preventDefault(); | |
| event.stopPropagation(); | |
| document.dispatchEvent(new CustomEvent('chat-attachments-nav', { detail: -1 })); | |
| break; | |
| case KeyboardKey.ARROW_RIGHT: | |
| event.preventDefault(); | |
| event.stopPropagation(); | |
| document.dispatchEvent(new CustomEvent('chat-attachments-nav', { detail: 1 })); | |
| break; | |
| case KeyboardKey.SPACE: | |
| event.preventDefault(); | |
| event.stopPropagation(); | |
| document.dispatchEvent(new CustomEvent('chat-attachments-nav', { detail: 1 })); | |
| break; | |
| } | |
| } | |
| document.addEventListener('keydown', handleKeyDown); | |
| return () => document.removeEventListener('keydown', handleKeyDown); | |
| }); | |
| </script> | |
| <Dialog.Root bind:open> | |
| <Dialog.Portal> | |
| <DialogUI.Overlay class="bg-black/85" style="z-index: 1000" /> | |
| <Dialog.Content class="fixed inset-0 z-[1000] flex flex-col bg-transparent outline-none"> | |
| <Dialog.Close | |
| class="absolute top-4 right-4 z-10 cursor-pointer text-white hover:text-gray-400" | |
| onclick={handleClose} | |
| aria-label="Close" | |
| > | |
| <X class="size-4" /> | |
| </Dialog.Close> | |
| <ChatAttachmentsPreview | |
| {uploadedFiles} | |
| {attachments} | |
| {activeModelId} | |
| {previewFocusIndex} | |
| class="min-h-0 flex-1" | |
| /> | |
| </Dialog.Content> | |
| </Dialog.Portal> | |
| </Dialog.Root> | |