Instructions to use TechCarbasa/MyModels 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 TechCarbasa/MyModels 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 TechCarbasa/MyModels:Q5_0 # Run inference directly in the terminal: llama cli -hf TechCarbasa/MyModels:Q5_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf TechCarbasa/MyModels:Q5_0 # Run inference directly in the terminal: llama cli -hf TechCarbasa/MyModels:Q5_0
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf TechCarbasa/MyModels:Q5_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf TechCarbasa/MyModels:Q5_0
Use Docker
docker model run hf.co/TechCarbasa/MyModels:Q5_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use TechCarbasa/MyModels with Ollama:
ollama run hf.co/TechCarbasa/MyModels:Q5_0
- Unsloth Desktop
- Pi
How to use TechCarbasa/MyModels with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf TechCarbasa/MyModels:Q5_0
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "TechCarbasa/MyModels:Q5_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use TechCarbasa/MyModels with Docker Model Runner:
docker model run hf.co/TechCarbasa/MyModels:Q5_0
- Lemonade
How to use TechCarbasa/MyModels with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull TechCarbasa/MyModels:Q5_0
Run and chat with the model
lemonade run user.MyModels-Q5_0
List all available models
lemonade list
- Hermes Agent
How to use TechCarbasa/MyModels with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf TechCarbasa/MyModels:Q5_0
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 TechCarbasa/MyModels:Q5_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use TechCarbasa/MyModels with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf TechCarbasa/MyModels:Q5_0
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 "TechCarbasa/MyModels:Q5_0" \ --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"
Download workflows/z-image-turbo-API.json from TechCarbasa/MyModels: direct link, hf CLI and curl.
- Browser
- Download file 2.51 kB
-
https://huggingface.co/TechCarbasa/MyModels/resolve/main/workflows/z-image-turbo-API.json
- Command line
-
hf download hf://TechCarbasa/MyModels/workflows/z-image-turbo-API.json
-
curl -L -o z-image-turbo-API.json https://huggingface.co/TechCarbasa/MyModels/resolve/main/workflows/z-image-turbo-API.json
2.51 kB
| { | |
| "9": { | |
| "inputs": { | |
| "filename_prefix": "z-image", | |
| "images": [ | |
| "43", | |
| 0 | |
| ] | |
| }, | |
| "class_type": "SaveImage", | |
| "_meta": { | |
| "title": "Save Image" | |
| } | |
| }, | |
| "39": { | |
| "inputs": { | |
| "clip_name": "split_files/text_encoders/qwen_3_4b.safetensors", | |
| "type": "lumina2", | |
| "device": "default" | |
| }, | |
| "class_type": "CLIPLoader", | |
| "_meta": { | |
| "title": "Load CLIP" | |
| } | |
| }, | |
| "40": { | |
| "inputs": { | |
| "vae_name": "ae.safetensors" | |
| }, | |
| "class_type": "VAELoader", | |
| "_meta": { | |
| "title": "Load VAE" | |
| } | |
| }, | |
| "41": { | |
| "inputs": { | |
| "width": "INPUTWIDTH", | |
| "height": "INPUTHEIGHT", | |
| "batch_size": 1 | |
| }, | |
| "class_type": "EmptySD3LatentImage", | |
| "_meta": { | |
| "title": "EmptySD3LatentImage" | |
| } | |
| }, | |
| "42": { | |
| "inputs": { | |
| "conditioning": [ | |
| "45", | |
| 0 | |
| ] | |
| }, | |
| "class_type": "ConditioningZeroOut", | |
| "_meta": { | |
| "title": "ConditioningZeroOut" | |
| } | |
| }, | |
| "43": { | |
| "inputs": { | |
| "samples": [ | |
| "44", | |
| 0 | |
| ], | |
| "vae": [ | |
| "40", | |
| 0 | |
| ] | |
| }, | |
| "class_type": "VAEDecode", | |
| "_meta": { | |
| "title": "VAE Decode" | |
| } | |
| }, | |
| "44": { | |
| "inputs": { | |
| "seed": 631296473276273, | |
| "steps": 9, | |
| "cfg": 1, | |
| "sampler_name": "res_multistep", | |
| "scheduler": "simple", | |
| "denoise": 1, | |
| "model": [ | |
| "47", | |
| 0 | |
| ], | |
| "positive": [ | |
| "45", | |
| 0 | |
| ], | |
| "negative": [ | |
| "42", | |
| 0 | |
| ], | |
| "latent_image": [ | |
| "41", | |
| 0 | |
| ] | |
| }, | |
| "class_type": "KSampler", | |
| "_meta": { | |
| "title": "KSampler" | |
| } | |
| }, | |
| "45": { | |
| "inputs": { | |
| "text": "INPUTPROMPT", | |
| "clip": [ | |
| "39", | |
| 0 | |
| ] | |
| }, | |
| "class_type": "CLIPTextEncode", | |
| "_meta": { | |
| "title": "CLIP Text Encode (Prompt)" | |
| } | |
| }, | |
| "46": { | |
| "inputs": { | |
| "unet_name": "split_files/diffusion_models/z_image_turbo_bf16.safetensors", | |
| "weight_dtype": "default" | |
| }, | |
| "class_type": "UNETLoader", | |
| "_meta": { | |
| "title": "Load Diffusion Model" | |
| } | |
| }, | |
| "47": { | |
| "inputs": { | |
| "shift": 3, | |
| "model": [ | |
| "46", | |
| 0 | |
| ] | |
| }, | |
| "class_type": "ModelSamplingAuraFlow", | |
| "_meta": { | |
| "title": "ModelSamplingAuraFlow" | |
| } | |
| } | |
| } |