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
sequenceDiagram
participant UI as π§© ModelsSelector
participant Hooks as πͺ useModelChangeValidation
participant modelsStore as ποΈ modelsStore
participant serverStore as ποΈ serverStore
participant convStore as ποΈ conversationsStore
participant ModelsSvc as βοΈ ModelsService
participant PropsSvc as βοΈ PropsService
participant API as π llama-server
Note over modelsStore: State:<br/>models: ModelOption[]<br/>routerModels: ApiModelDataEntry[]<br/>selectedModelId, selectedModelName<br/>loading, updating, error<br/>modelLoadingStates (Map)<br/>modelPropsCache (Map)<br/>propsCacheVersion
%% βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Note over UI,API: π INITIALIZATION (MODEL mode)
%% βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
UI->>modelsStore: fetch()
activate modelsStore
modelsStore->>modelsStore: loading = true
alt serverStore.props not loaded
modelsStore->>serverStore: fetch()
Note over serverStore: β see server-flow.mmd
end
modelsStore->>ModelsSvc: list()
ModelsSvc->>API: GET /v1/models
API-->>ModelsSvc: ApiModelListResponse {data: [model]}
modelsStore->>modelsStore: models = $state(mapped)
Note right of modelsStore: Map to ModelOption[]:<br/>{id, name, model, description, capabilities}
Note over modelsStore: MODEL mode: Get modalities from serverStore.props
modelsStore->>modelsStore: modelPropsCache.set(model.id, serverStore.props)
modelsStore->>modelsStore: models[0].modalities = props.modalities
modelsStore->>modelsStore: Auto-select single model
Note right of modelsStore: selectedModelId = models[0].id
modelsStore->>modelsStore: loading = false
deactivate modelsStore
%% βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Note over UI,API: π INITIALIZATION (ROUTER mode)
%% βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
UI->>modelsStore: fetch()
activate modelsStore
modelsStore->>ModelsSvc: list()
ModelsSvc->>API: GET /v1/models
API-->>ModelsSvc: ApiModelListResponse
modelsStore->>modelsStore: models = $state(mapped)
deactivate modelsStore
Note over UI: After models loaded, layout triggers:
UI->>modelsStore: fetchRouterModels()
activate modelsStore
modelsStore->>ModelsSvc: listRouter()
ModelsSvc->>API: GET /v1/models
API-->>ModelsSvc: ApiRouterModelsListResponse
Note right of API: {data: [{id, status, path, in_cache}]}
modelsStore->>modelsStore: routerModels = $state(data)
modelsStore->>modelsStore: fetchModalitiesForLoadedModels()
loop each model where status === "loaded"
modelsStore->>PropsSvc: fetchForModel(modelId)
PropsSvc->>API: GET /props?model={modelId}
API-->>PropsSvc: ApiLlamaCppServerProps
modelsStore->>modelsStore: modelPropsCache.set(modelId, props)
end
modelsStore->>modelsStore: propsCacheVersion++
deactivate modelsStore
%% βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Note over UI,API: π MODEL SELECTION (ROUTER mode)
%% βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
UI->>Hooks: useModelChangeValidation({getRequiredModalities, onSuccess?, onValidationFailure?})
Note over Hooks: Hook configured per-component:<br/>ChatForm: getRequiredModalities = usedModalities<br/>ChatMessage: getRequiredModalities = getModalitiesUpToMessage(msgId)
UI->>Hooks: handleModelChange(modelId, modelName)
activate Hooks
Hooks->>Hooks: previousSelectedModelId = modelsStore.selectedModelId
Hooks->>modelsStore: isModelLoaded(modelName)?
alt model NOT loaded
Hooks->>modelsStore: loadModel(modelName)
Note over modelsStore: β see LOAD MODEL section below
end
Note over Hooks: Always fetch props (from cache or API)
Hooks->>modelsStore: fetchModelProps(modelName)
modelsStore-->>Hooks: props
Hooks->>convStore: getRequiredModalities()
convStore-->>Hooks: {vision, audio}
Hooks->>Hooks: Validate: model.modalities β required?
alt validation PASSED
Hooks->>modelsStore: selectModelById(modelId)
Hooks-->>UI: return true
else validation FAILED
Hooks->>UI: toast.error("Model doesn't support required modalities")
alt model was just loaded
Hooks->>modelsStore: unloadModel(modelName)
end
alt onValidationFailure provided
Hooks->>modelsStore: selectModelById(previousSelectedModelId)
end
Hooks-->>UI: return false
end
deactivate Hooks
%% βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Note over UI,API: β¬οΈ LOAD MODEL (ROUTER mode)
%% βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
modelsStore->>modelsStore: loadModel(modelId)
activate modelsStore
alt already loaded
modelsStore-->>modelsStore: return (no-op)
end
modelsStore->>modelsStore: modelLoadingStates.set(modelId, true)
modelsStore->>ModelsSvc: load(modelId)
ModelsSvc->>API: POST /models/load {model: modelId}
API-->>ModelsSvc: {status: "loading"}
modelsStore->>modelsStore: pollForModelStatus(modelId, LOADED)
loop poll every 500ms (max 60 attempts)
modelsStore->>modelsStore: fetchRouterModels()
modelsStore->>ModelsSvc: listRouter()
ModelsSvc->>API: GET /v1/models
API-->>ModelsSvc: models[]
modelsStore->>modelsStore: getModelStatus(modelId)
alt status === LOADED
Note right of modelsStore: break loop
else status === LOADING
Note right of modelsStore: wait 500ms, continue
end
end
modelsStore->>modelsStore: updateModelModalities(modelId)
modelsStore->>PropsSvc: fetchForModel(modelId)
PropsSvc->>API: GET /props?model={modelId}
API-->>PropsSvc: props with modalities
modelsStore->>modelsStore: modelPropsCache.set(modelId, props)
modelsStore->>modelsStore: propsCacheVersion++
modelsStore->>modelsStore: modelLoadingStates.set(modelId, false)
deactivate modelsStore
%% βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Note over UI,API: β¬οΈ UNLOAD MODEL (ROUTER mode)
%% βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
modelsStore->>modelsStore: unloadModel(modelId)
activate modelsStore
modelsStore->>modelsStore: modelLoadingStates.set(modelId, true)
modelsStore->>ModelsSvc: unload(modelId)
ModelsSvc->>API: POST /models/unload {model: modelId}
modelsStore->>modelsStore: pollForModelStatus(modelId, UNLOADED)
loop poll until unloaded
modelsStore->>ModelsSvc: listRouter()
ModelsSvc->>API: GET /v1/models
end
modelsStore->>modelsStore: modelLoadingStates.set(modelId, false)
deactivate modelsStore
%% βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Note over UI,API: π COMPUTED GETTERS
%% βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Note over modelsStore: Getters:<br/>- selectedModel: ModelOption | null<br/>- loadedModelIds: string[] (from routerModels)<br/>- loadingModelIds: string[] (from modelLoadingStates)<br/>- singleModelName: string | null (MODEL mode only)
Note over modelsStore: Modality helpers:<br/>- getModelModalities(modelId): {vision, audio}<br/>- modelSupportsVision(modelId): boolean<br/>- modelSupportsAudio(modelId): boolean