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.
- 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
- 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
- Atomic Chat
File size: 3,790 Bytes
15c3607 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 | /**
*
* MODELS
*
* Components for model selection and display. Supports two server modes:
* - **Single model mode**: Server runs with one model, selector shows model info
* - **Router mode**: Server runs with multiple models, selector enables switching
*
* Integrates with modelsStore for model data and serverStore for mode detection.
*
*/
/**
* **ModelsSelectorDropdown** - Model selection dropdown (desktop)
*
* Dropdown for selecting AI models with status indicators,
* search, and model information display. Adapts UI based on server mode.
*
* **Architecture:**
* - Uses DropdownMenuSearchable for model list
* - Integrates with modelsStore for model options and selection
* - Detects router vs single mode from serverStore
* - Opens DialogModelInformation for model details
*
* **Features:**
* - Searchable model list with keyboard navigation
* - Model status indicators (loading/ready/error/updating)
* - Model capabilities badges (vision, tools, etc.)
* - Current/active model highlighting
* - Model information dialog on info button click
* - Router mode: shows all available models with status
* - Single mode: shows current model name only
* - Loading/updating skeleton states
* - Global selection support for form integration
*
* @example
* ```svelte
* <ModelsSelectorDropdown
* currentModel={conversation.modelId}
* onModelChange={(id, name) => updateModel(id)}
* useGlobalSelection
* />
* ```
*/
export { default as ModelsSelectorDropdown } from './ModelsSelectorDropdown.svelte';
/**
* **ModelsSelectorList** - Grouped model options list
*
* Renders grouped model options (loaded, favorites, available) with section
* headers and org subgroups. Shared between ModelsSelectorDropdown and ModelsSelectorSheet
* to avoid template duplication.
*
* Accepts an optional `renderOption` snippet to customize how each option is
* rendered (e.g., to add keyboard navigation or highlighting).
*/
export { default as ModelsSelectorList } from './ModelsSelectorList.svelte';
/**
* **ModelsSelectorOption** - Single model option row
*
* Renders a single model option with selection state, favorite toggle,
* load/unload actions, status indicators, and an info button.
* Used inside ModelsSelectorList or directly in custom render snippets.
*/
export { default as ModelsSelectorOption } from './ModelsSelectorOption.svelte';
/**
* **ModelsSelectorSheet** - Mobile model selection sheet
*
* Bottom sheet variant of ModelsSelectorDropdown optimized for touch interaction
* on mobile devices. Same functionality as ModelsSelectorDropdown but uses Sheet UI
* instead of DropdownMenu.
*/
export { default as ModelsSelectorSheet } from './ModelsSelectorSheet.svelte';
/** * **ModelBadge** - Model name display badge
*
* Compact badge showing current model name with package icon.
* Only visible in single model mode. Supports tooltip and copy functionality.
*
* **Architecture:**
* - Reads model name from modelsStore or prop
* - Checks server mode from serverStore
* - Uses BadgeInfo for consistent styling
*
* **Features:**
* - Optional copy to clipboard button
* - Optional tooltip with model details
* - Click handler for model info dialog
* - Only renders in model mode (not router)
*
* @example
* ```svelte
* <ModelBadge
* onclick={() => showModelInfo = true}
* showTooltip
* showCopyIcon
* />
* ```
*/
export { default as ModelBadge } from './ModelBadge.svelte';
/**
* **ModelId** - Parsed model identifier display
*
* Displays a model ID with optional org name, parameter badges, quantization,
* aliases, and tags. Supports raw mode to show the unprocessed model name.
* Respects the user's `showRawModelNames` setting.
*/
export { default as ModelId } from './ModelId.svelte';
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