Instructions to use abenzerps/Holo4-27B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use abenzerps/Holo4-27B-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 abenzerps/Holo4-27B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf abenzerps/Holo4-27B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf abenzerps/Holo4-27B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf abenzerps/Holo4-27B-GGUF: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 abenzerps/Holo4-27B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf abenzerps/Holo4-27B-GGUF: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 abenzerps/Holo4-27B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf abenzerps/Holo4-27B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/abenzerps/Holo4-27B-GGUF:Q4_K_M

Llama new
LM Studio
Jan

vLLM

How to use abenzerps/Holo4-27B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "abenzerps/Holo4-27B-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": "abenzerps/Holo4-27B-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/abenzerps/Holo4-27B-GGUF:Q4_K_M

Ollama
How to use abenzerps/Holo4-27B-GGUF with Ollama:
```
ollama run hf.co/abenzerps/Holo4-27B-GGUF:Q4_K_M
```
Unsloth Desktop

How to use abenzerps/Holo4-27B-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf abenzerps/Holo4-27B-GGUF:Q4_K_M

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": "abenzerps/Holo4-27B-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use abenzerps/Holo4-27B-GGUF with Docker Model Runner:
```
docker model run hf.co/abenzerps/Holo4-27B-GGUF:Q4_K_M
```

Lemonade

How to use abenzerps/Holo4-27B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull abenzerps/Holo4-27B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Holo4-27B-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use abenzerps/Holo4-27B-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 abenzerps/Holo4-27B-GGUF:Q4_K_M

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 abenzerps/Holo4-27B-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use abenzerps/Holo4-27B-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf abenzerps/Holo4-27B-GGUF:Q4_K_M

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 "abenzerps/Holo4-27B-GGUF:Q4_K_M" \
  --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"

Holo4-27B GGUF

GGUF quantizations of Hcompany/Holo4-27B, a 27B dense vision-language model (VLM) for Computer Use, tool-driven work, and agentic workflows.

For image input, use the included F16 vision projector (mmproj-Holo4-27B-f16.gguf).

Upstream benchmarks

Results reported by H Company from evaluations of the original Holo4-27B model across computer tasks, long workflows, and tool servers.

GGUF files

Quantization	File	Size	Notes
Q4_0	Holo4-27B-Q4_0.gguf	15.5 GB	Standard Q4 0-quant
Q4_K_M	Holo4-27B-Q4_K_M.gguf	16.5 GB	Recommended balanced default
Q5_K_M	Holo4-27B-Q5_K_M.gguf	19.2 GB	Higher-quality Q5 option
Q6_K	Holo4-27B-Q6_K.gguf	22.1 GB	High-quality option
Q8_0	Holo4-27B-Q8_0.gguf	28.6 GB	Near-lossless reference quantization
Vision projector	mmproj-Holo4-27B-f16.gguf	931 MB	Required for image input

Usage

Use a current llama.cpp build with the included chat template.

llama-cli \
  -m Holo4-27B-Q4_K_M.gguf \
  -c 4096 -n 512 --temp 0.7 --top-p 0.8 \
  --jinja --chat-template-file chat_template.jinja \
  -p "<|im_start|>user\nWhat is computer use in AI?<|im_end|>\n<|im_start|>assistant\n"

For multimodal / image input:

llama-mtmd-cli \
  -m Holo4-27B-Q4_K_M.gguf \
  -mm mmproj-Holo4-27B-f16.gguf \
  --image screenshot.png \
  -p "Describe the interface in this screenshot."

Source

Model: Hcompany/Holo4-27B
Chat template revision: 4de03cf
License: cc-by-nc-4.0
Checksums: SHA256SUMS

Downloads last month: 563

GGUF

Model size

27B params

Architecture

qwen35

Hardware compatibility

4-bit

5-bit

6-bit

8-bit

Model tree for abenzerps/Holo4-27B-GGUF

Base model

Qwen/Qwen3.8-27B

Finetuned

Hcompany/Holo4-27B

Quantized

(12)

this model

Collection including abenzerps/Holo4-27B-GGUF

Holo4

Collection

Holo4 model family releases, including GGUF and MLX conversions. • 6 items • Updated 30 days ago • 1