Instructions to use Iamgm/magic-paste-gemma-3n-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Iamgm/magic-paste-gemma-3n-4b 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 Iamgm/magic-paste-gemma-3n-4b:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Iamgm/magic-paste-gemma-3n-4b:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Iamgm/magic-paste-gemma-3n-4b:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Iamgm/magic-paste-gemma-3n-4b: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 Iamgm/magic-paste-gemma-3n-4b:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Iamgm/magic-paste-gemma-3n-4b: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 Iamgm/magic-paste-gemma-3n-4b:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Iamgm/magic-paste-gemma-3n-4b:Q4_K_M

Use Docker

docker model run hf.co/Iamgm/magic-paste-gemma-3n-4b:Q4_K_M

LM Studio
Jan

vLLM

How to use Iamgm/magic-paste-gemma-3n-4b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Iamgm/magic-paste-gemma-3n-4b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Iamgm/magic-paste-gemma-3n-4b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Iamgm/magic-paste-gemma-3n-4b:Q4_K_M

Ollama
How to use Iamgm/magic-paste-gemma-3n-4b with Ollama:
```
ollama run hf.co/Iamgm/magic-paste-gemma-3n-4b:Q4_K_M
```

Unsloth Studio

How to use Iamgm/magic-paste-gemma-3n-4b 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 Iamgm/magic-paste-gemma-3n-4b 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 Iamgm/magic-paste-gemma-3n-4b to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Iamgm/magic-paste-gemma-3n-4b to start chatting

Docker Model Runner
How to use Iamgm/magic-paste-gemma-3n-4b with Docker Model Runner:
```
docker model run hf.co/Iamgm/magic-paste-gemma-3n-4b:Q4_K_M
```

Lemonade

How to use Iamgm/magic-paste-gemma-3n-4b with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Iamgm/magic-paste-gemma-3n-4b:Q4_K_M

Run and chat with the model

lemonade run user.magic-paste-gemma-3n-4b-Q4_K_M

List all available models

lemonade list

Atomic Chat

Iamgm commited on Feb 21

Commit

bcfa212

verified ·

1 Parent(s): 5cd58c1

Update README.md

Browse files

Files changed (1) hide show

README.md +22 -3

README.md CHANGED Viewed

@@ -1,3 +1,22 @@
----
-license: gemma
----

+---
+license: gemma
+library_name: gguf
+pipeline_tag: text-generation
+tags:
+- gemma
+- voice-assistant
+- quantised
+---
+# Magic Paste (Gemma 3n 4B LoRa Fine-Tuned)
+Это GGUF-квантованная (Q4_K_M) версия модели Gemma 3n 4B, дообученная (LoRa) для задачи голосового управления текстом.
+Используется в проекте: [magic-paste](https://github.com/iamgm/magic-paste)
+### Файлы:
+- `gemma_3n_q4_k_m.gguf`: Основная модель (Text/Chat).
+- `mmproj_gemma_3n_f16.gguf`: Аудио-проектор для Native ASR (Экспериментально / Требует поддержки в backend).
+### Как использовать (Python):
+Модель оптимизирована для запуска через `llama-server.exe` или `llama-cpp-python`.