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> | |
| <div class="relative"> | |
| <textarea | |
| ref="textareaRef" | |
| v-show="active" | |
| :class="[ | |
| 'w-full resize-none overflow-hidden px-3 py-2 outline-none', | |
| 'rounded-lg border', | |
| 'border-[var(--p-form-field-border-color)]', | |
| 'focus:border-[var(--p-form-field-focus-border-color)]', | |
| 'relative z-10', | |
| ]" | |
| v-model="innerValue" | |
| @input="resizeTextarea" | |
| @blur="exitEditMode" | |
| ></textarea> | |
| <div v-show="!active"> | |
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| <span> | |
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| <div class="relative"> | |
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| <div | |
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| class="absolute left-0 top-0 h-full w-full cursor-pointer" | |
| @click="entryEditMode" | |
| ></div> | |
| </div> | |
| </div> | |
| </div> | |
| </template> | |
| <script setup lang="ts"> | |
| import { useModelDescription } from 'hooks/model' | |
| import { nextTick, ref, watch } from 'vue' | |
| const editable = defineModel<boolean>('editable') | |
| const active = ref(false) | |
| const { description, renderedDescription } = useModelDescription() | |
| const textareaRef = ref<HTMLTextAreaElement>() | |
| const innerValue = ref<string>() | |
| watch( | |
| description, | |
| (value) => { | |
| innerValue.value = value | |
| }, | |
| { immediate: true }, | |
| ) | |
| const resizeTextarea = () => { | |
| const textarea = textareaRef.value! | |
| textarea.style.height = 'auto' | |
| const scrollHeight = textarea.scrollHeight | |
| textarea.style.height = scrollHeight + 'px' | |
| textarea.scrollIntoView({ | |
| block: 'nearest', | |
| inline: 'nearest', | |
| }) | |
| } | |
| const entryEditMode = async () => { | |
| active.value = true | |
| await nextTick() | |
| resizeTextarea() | |
| textareaRef.value!.focus() | |
| } | |
| const exitEditMode = () => { | |
| description.value = innerValue.value! | |
| active.value = false | |
| } | |
| </script> | |
| <style lang="less" module> | |
| .markdown-body { | |
| font-family: theme('fontFamily.sans'); | |
| font-size: theme('fontSize.base'); | |
| line-height: theme('lineHeight.relaxed'); | |
| word-break: break-word; | |
| margin: 0; | |
| &::before { | |
| display: table; | |
| content: ''; | |
| } | |
| &::after { | |
| display: table; | |
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| clear: both; | |
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| > *:first-child { | |
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| margin-bottom: 0 ; | |
| } | |
| h1, | |
| h2, | |
| h3, | |
| h4, | |
| h5, | |
| h6 { | |
| margin-top: 1.5em; | |
| margin-bottom: 1em; | |
| font-weight: 600; | |
| line-height: 1.25; | |
| } | |
| h1 { | |
| font-size: 2em; | |
| padding-bottom: 0.3em; | |
| border-bottom: 1px solid var(--p-surface-700); | |
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| font-size: 0.875em; | |
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| h6 { | |
| font-size: 0.85em; | |
| color: var(--p-surface-500); | |
| } | |
| a { | |
| color: #1e8bc3; | |
| text-decoration: none; | |
| word-break: break-all; | |
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| } | |
| p, | |
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| height: 100%; | |
| object-fit: cover; | |
| } | |
| ul, | |
| ol { | |
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| } | |
| li { | |
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| blockquote { | |
| padding: 0px 1em; | |
| border-left: 0.25em solid var(--p-surface-500); | |
| color: var(--p-surface-500); | |
| margin: 1em 0; | |
| } | |
| blockquote > *:first-child { | |
| margin-top: 0; | |
| } | |
| blockquote > *:last-child { | |
| margin-bottom: 0; | |
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| pre { | |
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| border-radius: 6px; | |
| padding: 8px 16px; | |
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| background: var(--p-dialog-background); | |
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| } | |
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| border: 0; | |
| } | |
| } | |
| </style> | |