Instructions to use matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF", dtype="auto")

llama-cpp-python

How to use matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF",
	filename="C4AI-Command-R7B-Arabic-02-2025-f16.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use matrixportalx/c4ai-command-r7b-arabic-02-2025-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 matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf matrixportalx/c4ai-command-r7b-arabic-02-2025-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 matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf matrixportalx/c4ai-command-r7b-arabic-02-2025-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 matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf matrixportalx/c4ai-command-r7b-arabic-02-2025-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 matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF:Q4_K_M

Use Docker

docker model run hf.co/matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF with Ollama:
```
ollama run hf.co/matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF:Q4_K_M
```

Unsloth Studio

How to use matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF 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 matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF 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 matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF to start chatting

How to use matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF: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": "matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use matrixportalx/c4ai-command-r7b-arabic-02-2025-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 matrixportalx/c4ai-command-r7b-arabic-02-2025-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 matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF with Docker Model Runner:
```
docker model run hf.co/matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF:Q4_K_M
```

Lemonade

How to use matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull matrixportalx/c4ai-command-r7b-arabic-02-2025-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.c4ai-command-r7b-arabic-02-2025-GGUF-Q4_K_M

List all available models

lemonade list

Matrix commited on Mar 28, 2025

Commit

6b3b259

verified ·

1 Parent(s): 74f79a0

Update README.md

Browse files

Files changed (1) hide show

README.md +18 -14

README.md CHANGED Viewed

@@ -45,25 +45,29 @@ extra_gated_fields:
 # matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF
    This model was converted to GGUF format from [`CohereForAI/c4ai-command-r7b-arabic-02-2025`](https://huggingface.co/CohereForAI/c4ai-command-r7b-arabic-02-2025) using llama.cpp via the ggml.ai's [all-gguf-same-where](https://huggingface.co/spaces/matrixportal/all-gguf-same-where) space.
 Refer to the [original model card](https://huggingface.co/CohereForAI/c4ai-command-r7b-arabic-02-2025) for more details on the model.
 ## ✅ Quantized Models Download List
 ### 🔍 Recommended Quantizations
 | 🚀 Download | 🔢 Type | 📝 Notes |
 |:---------|:-----|:------|
-| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/c4ai-command-r7b-arabic-02-2025-q2_k.gguf) | ![Q2_K](https://img.shields.io/badge/Q2_K-1A73E8) | Basic quantization |
-| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/c4ai-command-r7b-arabic-02-2025-q3_k_s.gguf) | ![Q3_K_S](https://img.shields.io/badge/Q3_K_S-34A853) | Small size |
-| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/c4ai-command-r7b-arabic-02-2025-q3_k_m.gguf) | ![Q3_K_M](https://img.shields.io/badge/Q3_K_M-FBBC05) | Balanced quality |
-| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/c4ai-command-r7b-arabic-02-2025-q3_k_l.gguf) | ![Q3_K_L](https://img.shields.io/badge/Q3_K_L-4285F4) | Better quality |
-| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/c4ai-command-r7b-arabic-02-2025-q4_0.gguf) | ![Q4_0](https://img.shields.io/badge/Q4_0-EA4335) | Fast on ARM |
-| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/c4ai-command-r7b-arabic-02-2025-q4_k_s.gguf) | ![Q4_K_S](https://img.shields.io/badge/Q4_K_S-673AB7) | Fast, recommended |
-| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/c4ai-command-r7b-arabic-02-2025-q4_k_m.gguf) | ![Q4_K_M](https://img.shields.io/badge/Q4_K_M-673AB7) ⭐ | Best balance |
-| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/c4ai-command-r7b-arabic-02-2025-q5_0.gguf) | ![Q5_0](https://img.shields.io/badge/Q5_0-FF6D01) | Good quality |
-| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/c4ai-command-r7b-arabic-02-2025-q5_k_s.gguf) | ![Q5_K_S](https://img.shields.io/badge/Q5_K_S-0F9D58) | Balanced |
-| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/c4ai-command-r7b-arabic-02-2025-q5_k_m.gguf) | ![Q5_K_M](https://img.shields.io/badge/Q5_K_M-0F9D58) | High quality |
-| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/c4ai-command-r7b-arabic-02-2025-q6_k.gguf) | ![Q6_K](https://img.shields.io/badge/Q6_K-4285F4) 🏆 | Very good quality |
-| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/c4ai-command-r7b-arabic-02-2025-q8_0.gguf) | ![Q8_0](https://img.shields.io/badge/Q8_0-EA4335) ⚡ | Fast, best quality |
-| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/c4ai-command-r7b-arabic-02-2025-f16.gguf) | ![F16](https://img.shields.io/badge/F16-000000) | Maximum accuracy |
 💡 **Tip:** Use `F16` for maximum precision when quality is critical

 # matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF
    This model was converted to GGUF format from [`CohereForAI/c4ai-command-r7b-arabic-02-2025`](https://huggingface.co/CohereForAI/c4ai-command-r7b-arabic-02-2025) using llama.cpp via the ggml.ai's [all-gguf-same-where](https://huggingface.co/spaces/matrixportal/all-gguf-same-where) space.
 Refer to the [original model card](https://huggingface.co/CohereForAI/c4ai-command-r7b-arabic-02-2025) for more details on the model.
 ## ✅ Quantized Models Download List
 ### 🔍 Recommended Quantizations
+- **✨ General CPU Use:** [`Q4_K_M`](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/C4AI-Command-R7B-Arabic-02-2025-q4_k_m.gguf) (Best balance of speed/quality)
+- **📱 ARM Devices:** [`Q4_0`](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/C4AI-Command-R7B-Arabic-02-2025-q4_0.gguf) (Optimized for ARM CPUs)
+- **🏆 Maximum Quality:** [`Q8_0`](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/C4AI-Command-R7B-Arabic-02-2025-q8_0.gguf) (Near-original quality)
+### 📦 Full Quantization Options
 | 🚀 Download | 🔢 Type | 📝 Notes |
 |:---------|:-----|:------|
+| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/C4AI-Command-R7B-Arabic-02-2025-q2_k.gguf) | ![Q2_K](https://img.shields.io/badge/Q2_K-1A73E8) | Basic quantization |
+| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/C4AI-Command-R7B-Arabic-02-2025-q3_k_s.gguf) | ![Q3_K_S](https://img.shields.io/badge/Q3_K_S-34A853) | Small size |
+| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/C4AI-Command-R7B-Arabic-02-2025-q3_k_m.gguf) | ![Q3_K_M](https://img.shields.io/badge/Q3_K_M-FBBC05) | Balanced quality |
+| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/C4AI-Command-R7B-Arabic-02-2025-q3_k_l.gguf) | ![Q3_K_L](https://img.shields.io/badge/Q3_K_L-4285F4) | Better quality |
+| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/C4AI-Command-R7B-Arabic-02-2025-q4_0.gguf) | ![Q4_0](https://img.shields.io/badge/Q4_0-EA4335) | Fast on ARM |
+| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/C4AI-Command-R7B-Arabic-02-2025-q4_k_s.gguf) | ![Q4_K_S](https://img.shields.io/badge/Q4_K_S-673AB7) | Fast, recommended |
+| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/C4AI-Command-R7B-Arabic-02-2025-q4_k_m.gguf) | ![Q4_K_M](https://img.shields.io/badge/Q4_K_M-673AB7) ⭐ | Best balance |
+| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/C4AI-Command-R7B-Arabic-02-2025-q5_0.gguf) | ![Q5_0](https://img.shields.io/badge/Q5_0-FF6D01) | Good quality |
+| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/C4AI-Command-R7B-Arabic-02-2025-q5_k_s.gguf) | ![Q5_K_S](https://img.shields.io/badge/Q5_K_S-0F9D58) | Balanced |
+| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/C4AI-Command-R7B-Arabic-02-2025-q5_k_m.gguf) | ![Q5_K_M](https://img.shields.io/badge/Q5_K_M-0F9D58) | High quality |
+| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/C4AI-Command-R7B-Arabic-02-2025-q6_k.gguf) | ![Q6_K](https://img.shields.io/badge/Q6_K-4285F4) 🏆 | Very good quality |
+| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/C4AI-Command-R7B-Arabic-02-2025-q8_0.gguf) | ![Q8_0](https://img.shields.io/badge/Q8_0-EA4335) ⚡ | Fast, best quality |
+| [Download](https://huggingface.co/matrixportal/c4ai-command-r7b-arabic-02-2025-GGUF/resolve/main/C4AI-Command-R7B-Arabic-02-2025-f16.gguf) | ![F16](https://img.shields.io/badge/F16-000000) | Maximum accuracy |
 💡 **Tip:** Use `F16` for maximum precision when quality is critical