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 { AlertTriangle, Server } from '@lucide/svelte'; | |
| import { Badge } from '$lib/components/ui/badge'; | |
| import { Button } from '$lib/components/ui/button'; | |
| import { serverProps, serverLoading, serverError } from '$lib/stores/server.svelte'; | |
| import { singleModelName } from '$lib/stores/models.svelte'; | |
| interface Props { | |
| class?: string; | |
| showActions?: boolean; | |
| } | |
| let { class: className = '', showActions = false }: Props = $props(); | |
| let error = $derived(serverError()); | |
| let loading = $derived(serverLoading()); | |
| let model = $derived(singleModelName()); | |
| let serverData = $derived(serverProps()); | |
| function getStatusColor() { | |
| if (loading) return 'bg-yellow-500'; | |
| if (error) return 'bg-red-500'; | |
| if (serverData) return 'bg-green-500'; | |
| return 'bg-gray-500'; | |
| } | |
| function getStatusText() { | |
| if (loading) return 'Connecting...'; | |
| if (error) return 'Connection Error'; | |
| if (serverData) return 'Connected'; | |
| return 'Unknown'; | |
| } | |
| </script> | |
| <div class="flex items-center space-x-3 {className}"> | |
| <div class="flex items-center space-x-2"> | |
| <div class="h-2 w-2 rounded-full {getStatusColor()}"></div> | |
| <span class="text-sm text-muted-foreground">{getStatusText()}</span> | |
| </div> | |
| {#if serverData && !error} | |
| <Badge variant="outline" class="text-xs"> | |
| <Server class="mr-1 h-3 w-3" /> | |
| {model || 'Unknown Model'} | |
| </Badge> | |
| {#if serverData?.default_generation_settings?.n_ctx} | |
| <Badge variant="secondary" class="text-xs"> | |
| ctx: {serverData.default_generation_settings.n_ctx.toLocaleString()} | |
| </Badge> | |
| {/if} | |
| {/if} | |
| {#if showActions && error} | |
| <Button variant="outline" size="sm" class="text-destructive"> | |
| <AlertTriangle class="h-4 w-4" /> | |
| {error} | |
| </Button> | |
| {/if} | |
| </div> | |