Instructions to use h2loop-ai/gemma-4-e2b-hexagon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use h2loop-ai/gemma-4-e2b-hexagon 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 h2loop-ai/gemma-4-e2b-hexagon
# Run inference directly in the terminal:
llama cli -hf h2loop-ai/gemma-4-e2b-hexagon

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf h2loop-ai/gemma-4-e2b-hexagon
# Run inference directly in the terminal:
llama cli -hf h2loop-ai/gemma-4-e2b-hexagon

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 h2loop-ai/gemma-4-e2b-hexagon
# Run inference directly in the terminal:
./llama-cli -hf h2loop-ai/gemma-4-e2b-hexagon

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 h2loop-ai/gemma-4-e2b-hexagon
# Run inference directly in the terminal:
./build/bin/llama-cli -hf h2loop-ai/gemma-4-e2b-hexagon

Use Docker

docker model run hf.co/h2loop-ai/gemma-4-e2b-hexagon

LM Studio
Jan
Ollama
How to use h2loop-ai/gemma-4-e2b-hexagon with Ollama:
```
ollama run hf.co/h2loop-ai/gemma-4-e2b-hexagon
```

Unsloth Studio

How to use h2loop-ai/gemma-4-e2b-hexagon 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 h2loop-ai/gemma-4-e2b-hexagon 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 h2loop-ai/gemma-4-e2b-hexagon to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for h2loop-ai/gemma-4-e2b-hexagon to start chatting

How to use h2loop-ai/gemma-4-e2b-hexagon with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf h2loop-ai/gemma-4-e2b-hexagon

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": "h2loop-ai/gemma-4-e2b-hexagon"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use h2loop-ai/gemma-4-e2b-hexagon with Docker Model Runner:
```
docker model run hf.co/h2loop-ai/gemma-4-e2b-hexagon
```

Lemonade

How to use h2loop-ai/gemma-4-e2b-hexagon with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull h2loop-ai/gemma-4-e2b-hexagon

Run and chat with the model

lemonade run user.gemma-4-e2b-hexagon-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use h2loop-ai/gemma-4-e2b-hexagon with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf h2loop-ai/gemma-4-e2b-hexagon

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 h2loop-ai/gemma-4-e2b-hexagon

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use h2loop-ai/gemma-4-e2b-hexagon with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf h2loop-ai/gemma-4-e2b-hexagon

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 "h2loop-ai/gemma-4-e2b-hexagon" \
  --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"

gemma-4-e2b-hexagon / llama.cpp /LICENSE

Jatin Kishnani

Ship the prebuilt ggml-hexagon runtime so the 4-bit path needs no build

dcb11d1 12 days ago

Raw

History Blame Contribute Delete

1.8 kB

	The binaries in this directory are builds of llama.cpp (upstream commit 0ef6e55),
	redistributed under the MIT license reproduced below.

	Source: https://github.com/ggml-org/llama.cpp

	Note on the Hexagon DSP libraries: lib/libggml-htp-v79.so and lib/libggml-htp-v81.so
	are compiled for the Hexagon DSP with the Qualcomm Hexagon SDK toolchain
	(Hexagon SDK 6.6 / HEXAGON_Tools 19.0.07) and statically include that toolchain's
	C runtime startup objects (initS.o / finiS.o). Those portions are governed by the
	Qualcomm Hexagon SDK license, not by the MIT license below. They require no
	Qualcomm libraries at runtime: their qurt_, compute_resource_ and dspqueue_*
	symbols resolve on-device against the vendor DSP image.

	---

	MIT License

	Copyright (c) 2023-2026 The ggml authors

	Permission is hereby granted, free of charge, to any person obtaining a copy
	of this software and associated documentation files (the "Software"), to deal
	in the Software without restriction, including without limitation the rights
	to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	copies of the Software, and to permit persons to whom the Software is
	furnished to do so, subject to the following conditions:

	The above copyright notice and this permission notice shall be included in all
	copies or substantial portions of the Software.

	THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
	IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
	FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
	AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
	LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
	OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
	SOFTWARE.