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 { PropsService } from '$lib/services/props.service'; | |
| import { ServerRole } from '$lib/enums'; | |
| /** | |
| * serverStore - Server connection state, configuration, and role detection | |
| * | |
| * This store manages the server connection state and properties fetched from `/props`. | |
| * It provides reactive state for server configuration and role detection. | |
| * | |
| * **Architecture & Relationships:** | |
| * - **PropsService**: Stateless service for fetching `/props` data | |
| * - **serverStore** (this class): Reactive store for server state | |
| * - **modelsStore**: Independent store for model management (uses PropsService directly) | |
| * | |
| * **Key Features:** | |
| * - **Server State**: Connection status, loading, error handling | |
| * - **Role Detection**: MODEL (single model) vs ROUTER (multi-model) | |
| * - **Default Params**: Server-wide generation defaults | |
| */ | |
| class ServerStore { | |
| /** | |
| * | |
| * | |
| * State | |
| * | |
| * | |
| */ | |
| props = $state<ApiLlamaCppServerProps | null>(null); | |
| loading = $state(false); | |
| error = $state<string | null>(null); | |
| role = $state<ServerRole | null>(null); | |
| private fetchPromise: Promise<void> | null = null; | |
| /** | |
| * | |
| * | |
| * Getters | |
| * | |
| * | |
| */ | |
| get defaultParams(): ApiLlamaCppServerProps['default_generation_settings']['params'] | null { | |
| return this.props?.default_generation_settings?.params || null; | |
| } | |
| get contextSize(): number | null { | |
| const nCtx = this.props?.default_generation_settings?.n_ctx; | |
| return typeof nCtx === 'number' ? nCtx : null; | |
| } | |
| get uiSettings(): Record<string, string | number | boolean> | undefined { | |
| return this.props?.ui_settings ?? this.props?.webui_settings; | |
| } | |
| get isRouterMode(): boolean { | |
| return this.role === ServerRole.ROUTER; | |
| } | |
| get isModelMode(): boolean { | |
| return this.role === ServerRole.MODEL; | |
| } | |
| /** | |
| * | |
| * | |
| * Data Handling | |
| * | |
| * | |
| */ | |
| async fetch(): Promise<void> { | |
| if (this.fetchPromise) return this.fetchPromise; | |
| this.loading = true; | |
| this.error = null; | |
| const fetchPromise = (async () => { | |
| try { | |
| const props = await PropsService.fetch(); | |
| this.props = props; | |
| this.error = null; | |
| this.detectRole(props); | |
| } catch (error: unknown) { | |
| this.error = error instanceof Error ? error.message : String(error); | |
| console.error('Error fetching server properties:', error); | |
| } finally { | |
| this.loading = false; | |
| this.fetchPromise = null; | |
| } | |
| })(); | |
| this.fetchPromise = fetchPromise; | |
| await fetchPromise; | |
| } | |
| clear(): void { | |
| this.props = null; | |
| this.error = null; | |
| this.loading = false; | |
| this.role = null; | |
| this.fetchPromise = null; | |
| } | |
| /** | |
| * | |
| * | |
| * Utilities | |
| * | |
| * | |
| */ | |
| private detectRole(props: ApiLlamaCppServerProps): void { | |
| const newRole = props?.role === ServerRole.ROUTER ? ServerRole.ROUTER : ServerRole.MODEL; | |
| if (this.role !== newRole) { | |
| this.role = newRole; | |
| console.info(`Server running in ${newRole === ServerRole.ROUTER ? 'ROUTER' : 'MODEL'} mode`); | |
| } | |
| } | |
| } | |
| export const serverStore = new ServerStore(); | |
| export const serverProps = () => serverStore.props; | |
| export const serverLoading = () => serverStore.loading; | |
| export const serverError = () => serverStore.error; | |
| export const serverRole = () => serverStore.role; | |
| export const defaultParams = () => serverStore.defaultParams; | |
| export const contextSize = () => serverStore.contextSize; | |
| export const isRouterMode = () => serverStore.isRouterMode; | |
| export const isModelMode = () => serverStore.isModelMode; | |