Image-Text-to-Text
GGUF
English
Portuguese
ollama
llama.cpp
local-ai
on-device
low-vram
small-model
tiny-llm
vision
multimodal
thinking
reasoning
tool-calling
code
coding-assistant
typescript
javascript
qwen
qwen3.5
iq3_xxs
imatrix
conversational
Eval Results (legacy)
Instructions to use sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF 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 sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF 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 sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF:IQ3_XXS # Run inference directly in the terminal: llama cli -hf sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF:IQ3_XXS
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF:IQ3_XXS # Run inference directly in the terminal: llama cli -hf sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF:IQ3_XXS
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 sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF:IQ3_XXS # Run inference directly in the terminal: ./build/bin/llama cli -hf sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF:IQ3_XXS
Use Docker
docker model run hf.co/sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF:IQ3_XXS
- Llama new
- LM Studio
- Jan
- vLLM
How to use sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF:IQ3_XXS
- Ollama
How to use sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF with Ollama:
ollama run hf.co/sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF:IQ3_XXS
- Unsloth Desktop
- Pi
How to use sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF:IQ3_XXS
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": "sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF:IQ3_XXS" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF with Docker Model Runner:
docker model run hf.co/sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF:IQ3_XXS
- Lemonade
How to use sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF:IQ3_XXS
Run and chat with the model
lemonade run user.Sagui-4B-Vision-Thinking-Code-GGUF-IQ3_XXS
List all available models
lemonade list
- Hermes Agent
How to use sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF:IQ3_XXS
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 sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF:IQ3_XXS
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF:IQ3_XXS
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 "sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF:IQ3_XXS" \ --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 scripts/publish.py from sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 2.04 kB
-
https://huggingface.co/sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF/resolve/main/scripts/publish.py
- Command line
-
hf download hf://sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF/scripts/publish.py
-
curl -L -o publish.py https://huggingface.co/sysrobson/Sagui-4B-Vision-Thinking-Code-GGUF/resolve/main/scripts/publish.py
2.04 kB
| """Check the release and, with --yes, upload it to the Hugging Face Hub. | |
| Usage: python scripts/publish.py (checks only, uploads nothing) | |
| python scripts/publish.py --yes (creates the public repo and uploads) | |
| Requires `pip install huggingface_hub` and `hf auth login`. | |
| """ | |
| import argparse | |
| import json | |
| import sys | |
| from pathlib import Path | |
| ROOT = Path(__file__).resolve().parent.parent | |
| IGNORE = ["_private/*", ".git/*", ".gitignore", "card/*", "**/__pycache__/*"] | |
| REQUIRED = ["README.md", "LICENSE", "NOTICE", "SHA256SUMS", "Modelfile", "template", "params", | |
| "Sagui-4B-IQ3_XXS.gguf", "mmproj-Sagui-4B-F16.gguf", "assets/banner.png"] | |
| def problems(cfg): | |
| found = [f"missing file: {name}" for name in REQUIRED if not (ROOT / name).exists()] | |
| if not any(cfg["donations"].values()): | |
| found.append("release.json: no donation link filled in") | |
| readme = (ROOT / "README.md").read_text(encoding="utf-8") if (ROOT / "README.md").exists() else "" | |
| if "@@" in readme: | |
| found.append("README.md has unrendered placeholders: run scripts/render_card.py") | |
| return found | |
| def main(): | |
| ap = argparse.ArgumentParser() | |
| ap.add_argument("--yes", action="store_true", help="really create the public repo and upload") | |
| args = ap.parse_args() | |
| cfg = json.loads((ROOT / "release.json").read_text(encoding="utf-8")) | |
| repo_id = f"{cfg['hf_namespace']}/{cfg['repo_name']}" | |
| found = problems(cfg) | |
| for problem in found: | |
| print("BLOCKED:", problem) | |
| if found: | |
| sys.exit(1) | |
| print(f"OK: ready to publish {repo_id}") | |
| if not args.yes: | |
| print("Nothing uploaded. Run again with --yes to publish.") | |
| return | |
| from huggingface_hub import HfApi | |
| api = HfApi() | |
| api.create_repo(repo_id, repo_type="model", exist_ok=True) | |
| api.upload_folder(repo_id=repo_id, folder_path=ROOT, ignore_patterns=IGNORE, | |
| commit_message="Release Sagui-4B") | |
| print(f"https://huggingface.co/{repo_id}") | |
| if __name__ == "__main__": | |
| main() | |