Instructions to use gonrocca/mate-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use gonrocca/mate-v1 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="gonrocca/mate-v1",
	filename="mate-Q4_K_M.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use gonrocca/mate-v1 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf gonrocca/mate-v1:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf gonrocca/mate-v1:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf gonrocca/mate-v1:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf gonrocca/mate-v1: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 gonrocca/mate-v1:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf gonrocca/mate-v1: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 gonrocca/mate-v1:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf gonrocca/mate-v1:Q4_K_M

Use Docker

docker model run hf.co/gonrocca/mate-v1:Q4_K_M

LM Studio
Jan

vLLM

How to use gonrocca/mate-v1 with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/gonrocca/mate-v1:Q4_K_M

Ollama
How to use gonrocca/mate-v1 with Ollama:
```
ollama run hf.co/gonrocca/mate-v1:Q4_K_M
```

Unsloth Studio new

How to use gonrocca/mate-v1 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 gonrocca/mate-v1 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 gonrocca/mate-v1 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for gonrocca/mate-v1 to start chatting

Pi new

How to use gonrocca/mate-v1 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf gonrocca/mate-v1:Q4_K_M

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": "gonrocca/mate-v1:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use gonrocca/mate-v1 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf gonrocca/mate-v1: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 gonrocca/mate-v1:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use gonrocca/mate-v1 with Docker Model Runner:
```
docker model run hf.co/gonrocca/mate-v1:Q4_K_M
```

Lemonade

How to use gonrocca/mate-v1 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull gonrocca/mate-v1:Q4_K_M

Run and chat with the model

lemonade run user.mate-v1-Q4_K_M

List all available models

lemonade list

gonrocca commited on 24 days ago

Commit

9bcdced

verified ·

1 Parent(s): 2f37d17

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README.md +3 -11

README.md CHANGED Viewed

@@ -10,11 +10,9 @@ tags:
   - tool-calling
   - reasoning
   - argentina
-  - gemma-4
   - moe
   - quantized
   - q4_k_m
-base_model: google/gemma-4-26B-A4B-it
 pipeline_tag: text-generation
 ---
@@ -218,18 +216,12 @@ Ver `RETRAINING.md` en el repo del proyecto para detalles.
 ---
-## Licencia y atribuciones
 **Mate** se distribuye bajo **Apache License 2.0**.
-Este modelo es un fine-tune de **Gemma 4 26B-A4B-it** (Copyright © 2026 Google LLC,
-Apache 2.0). Ver [LICENSE Gemma](https://ai.google.dev/gemma/docs/gemma_4_license).
-Datasets utilizados:
-- `Salesforce/xlam-function-calling-60k` (CC BY 4.0)
-- `glaiveai/glaive-function-calling-v2` (Apache 2.0)
-- `angrygiraffe/claude-opus-4.6-4.7-reasoning-8.7k` (Apache 2.0)
-- `m-a-p/CodeFeedback-Filtered-Instruction` (Apache 2.0)
 ---

   - tool-calling
   - reasoning
   - argentina
   - moe
   - quantized
   - q4_k_m
 pipeline_tag: text-generation
 ---
 ---
+## Licencia
 **Mate** se distribuye bajo **Apache License 2.0**.
+Para atribuciones legales completas (third-party software, datasets utilizados),
+ver el archivo [`NOTICE.txt`](./blob/main/NOTICE.txt) en este repositorio.
 ---