Instructions to use saik0s/comfy_backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use saik0s/comfy_backup with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="saik0s/comfy_backup", filename="ComfyUI/models/text_encoders/gemma-3-12b-it-q2_k.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use saik0s/comfy_backup 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 saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: llama cli -hf saik0s/comfy_backup:Q4_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: llama cli -hf saik0s/comfy_backup:Q4_K_S
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 saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: ./llama-cli -hf saik0s/comfy_backup:Q4_K_S
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 saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: ./build/bin/llama-cli -hf saik0s/comfy_backup:Q4_K_S
Use Docker
docker model run hf.co/saik0s/comfy_backup:Q4_K_S
- LM Studio
- Jan
- Ollama
How to use saik0s/comfy_backup with Ollama:
ollama run hf.co/saik0s/comfy_backup:Q4_K_S
- Unsloth Studio
How to use saik0s/comfy_backup 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 saik0s/comfy_backup 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 saik0s/comfy_backup to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for saik0s/comfy_backup to start chatting
- Pi
How to use saik0s/comfy_backup with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf saik0s/comfy_backup:Q4_K_S
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "saik0s/comfy_backup:Q4_K_S" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use saik0s/comfy_backup with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf saik0s/comfy_backup:Q4_K_S
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default saik0s/comfy_backup:Q4_K_S
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use saik0s/comfy_backup with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf saik0s/comfy_backup:Q4_K_S
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "saik0s/comfy_backup:Q4_K_S" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- Docker Model Runner
How to use saik0s/comfy_backup with Docker Model Runner:
docker model run hf.co/saik0s/comfy_backup:Q4_K_S
- Lemonade
How to use saik0s/comfy_backup with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull saik0s/comfy_backup:Q4_K_S
Run and chat with the model
lemonade run user.comfy_backup-Q4_K_S
List all available models
lemonade list
| <template> | |
| <ResponseScroll class="h-full"> | |
| <div class="px-8"> | |
| <ModelContent | |
| v-model:editable="editable" | |
| :model="modelContent" | |
| @submit="handleSave" | |
| @reset="handleCancel" | |
| > | |
| <template #action="{ metadata }"> | |
| <template v-if="editable"> | |
| <Button :label="$t('cancel')" type="reset"></Button> | |
| <Button :label="$t('save')" type="submit"></Button> | |
| </template> | |
| <template v-else> | |
| <Button | |
| v-show="metadata.modelPage" | |
| icon="pi pi-eye" | |
| @click="openModelPage(metadata.modelPage)" | |
| ></Button> | |
| <Button | |
| icon="pi pi-plus" | |
| @click.stop="addModelNode(model)" | |
| ></Button> | |
| <Button | |
| icon="pi pi-copy" | |
| @click.stop="copyModelNode(model)" | |
| ></Button> | |
| <Button | |
| v-show="model.preview" | |
| icon="pi pi-file-import" | |
| @click.stop="loadPreviewWorkflow(model)" | |
| ></Button> | |
| <Button | |
| icon="pi pi-pen-to-square" | |
| @click="editable = true" | |
| ></Button> | |
| <Button | |
| severity="danger" | |
| icon="pi pi-trash" | |
| @click="handleDelete" | |
| ></Button> | |
| </template> | |
| </template> | |
| </ModelContent> | |
| </div> | |
| </ResponseScroll> | |
| </template> | |
| <script setup lang="ts"> | |
| import ModelContent from 'components/ModelContent.vue' | |
| import ResponseScroll from 'components/ResponseScroll.vue' | |
| import { genModelUrl, useModelNodeAction, useModels } from 'hooks/model' | |
| import { useRequest } from 'hooks/request' | |
| import Button from 'primevue/button' | |
| import { BaseModel, Model, WithResolved } from 'types/typings' | |
| import { computed, ref } from 'vue' | |
| interface Props { | |
| model: Model | |
| } | |
| const props = defineProps<Props>() | |
| const { remove, update } = useModels() | |
| const editable = ref(false) | |
| const modelDetailUrl = genModelUrl(props.model) | |
| const { data: extraInfo } = useRequest(modelDetailUrl, { | |
| method: 'GET', | |
| }) | |
| const modelContent = computed(() => { | |
| return Object.assign({}, props.model, extraInfo.value) | |
| }) | |
| const handleCancel = () => { | |
| editable.value = false | |
| } | |
| const handleSave = async (data: WithResolved<BaseModel>) => { | |
| await update(modelContent.value, data) | |
| editable.value = false | |
| } | |
| const handleDelete = async () => { | |
| await remove(props.model) | |
| } | |
| const openModelPage = (url: string) => { | |
| window.open(url, '_blank') | |
| } | |
| const { addModelNode, copyModelNode, loadPreviewWorkflow } = | |
| useModelNodeAction() | |
| </script> | |