Text Generation
Safetensors
GGUF
English
reasoning
reinforcement-learning
grpo
small-language-model
samsung-ennovatex
conversational
Instructions to use OmnipotentFool/Aurvion 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 OmnipotentFool/Aurvion 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 OmnipotentFool/Aurvion:Q4_K_M # Run inference directly in the terminal: llama cli -hf OmnipotentFool/Aurvion:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf OmnipotentFool/Aurvion:Q4_K_M # Run inference directly in the terminal: llama cli -hf OmnipotentFool/Aurvion:Q4_K_M
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 OmnipotentFool/Aurvion:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf OmnipotentFool/Aurvion:Q4_K_M
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 OmnipotentFool/Aurvion:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf OmnipotentFool/Aurvion:Q4_K_M
Use Docker
docker model run hf.co/OmnipotentFool/Aurvion:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use OmnipotentFool/Aurvion with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "OmnipotentFool/Aurvion" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OmnipotentFool/Aurvion", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/OmnipotentFool/Aurvion:Q4_K_M
- Ollama
How to use OmnipotentFool/Aurvion with Ollama:
ollama run hf.co/OmnipotentFool/Aurvion:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use OmnipotentFool/Aurvion with Docker Model Runner:
docker model run hf.co/OmnipotentFool/Aurvion:Q4_K_M
- Lemonade
How to use OmnipotentFool/Aurvion with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull OmnipotentFool/Aurvion:Q4_K_M
Run and chat with the model
lemonade run user.Aurvion-Q4_K_M
List all available models
lemonade list
- Atomic Chat
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Download llama.cpp/tools/ui/docs/flows/models-flow.md from OmnipotentFool/Aurvion: direct link, hf CLI and curl.
- Browser
- Download file 9.7 kB
-
https://huggingface.co/OmnipotentFool/Aurvion/resolve/main/llama.cpp/tools/ui/docs/flows/models-flow.md
- Command line
-
hf download hf://OmnipotentFool/Aurvion/llama.cpp/tools/ui/docs/flows/models-flow.md
-
curl -L -o models-flow.md https://huggingface.co/OmnipotentFool/Aurvion/resolve/main/llama.cpp/tools/ui/docs/flows/models-flow.md
9.7 kB
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