Instructions to use mmnga/c4ai-command-r-plus-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mmnga/c4ai-command-r-plus-gguf with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="mmnga/c4ai-command-r-plus-gguf",
	filename="c4ai-command-r-plus-IQ1_M.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use mmnga/c4ai-command-r-plus-gguf with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf mmnga/c4ai-command-r-plus-gguf:IQ1_M
# Run inference directly in the terminal:
llama-cli -hf mmnga/c4ai-command-r-plus-gguf:IQ1_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf mmnga/c4ai-command-r-plus-gguf:IQ1_M
# Run inference directly in the terminal:
llama-cli -hf mmnga/c4ai-command-r-plus-gguf:IQ1_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 mmnga/c4ai-command-r-plus-gguf:IQ1_M
# Run inference directly in the terminal:
./llama-cli -hf mmnga/c4ai-command-r-plus-gguf:IQ1_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 mmnga/c4ai-command-r-plus-gguf:IQ1_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mmnga/c4ai-command-r-plus-gguf:IQ1_M

Use Docker

docker model run hf.co/mmnga/c4ai-command-r-plus-gguf:IQ1_M

LM Studio
Jan
Ollama
How to use mmnga/c4ai-command-r-plus-gguf with Ollama:
```
ollama run hf.co/mmnga/c4ai-command-r-plus-gguf:IQ1_M
```

Unsloth Studio new

How to use mmnga/c4ai-command-r-plus-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 mmnga/c4ai-command-r-plus-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 mmnga/c4ai-command-r-plus-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for mmnga/c4ai-command-r-plus-gguf to start chatting

Docker Model Runner
How to use mmnga/c4ai-command-r-plus-gguf with Docker Model Runner:
```
docker model run hf.co/mmnga/c4ai-command-r-plus-gguf:IQ1_M
```

Lemonade

How to use mmnga/c4ai-command-r-plus-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mmnga/c4ai-command-r-plus-gguf:IQ1_M

Run and chat with the model

lemonade run user.c4ai-command-r-plus-gguf-IQ1_M

List all available models

lemonade list

c4ai-command-r-plus-gguf

CohereForAIさんが公開しているc4ai-command-r-plusのggufフォーマット変換版です。

imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。

分割されたファイルについて

q6_kやq8_0のファイルはサイズが大きく分割されているので結合する必要があります。

cat c4ai-command-r-plus-Q5_K_M.gguf.* > c4ai-command-r-plus-Q5_K_M.gguf

Usage

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
make -j
./main -m 'c4ai-command-r-plus-Q4_0.gguf' -p "<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>あなたは日本語を話すCommand-Rです<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>こんにちわ<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>" -n 128

Downloads last month: 136

GGUF

Model size

104B params

Architecture

command-r

Hardware compatibility

1-bit

2-bit

3-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

mmnga
/

c4ai-command-r-plus-gguf

c4ai-command-r-plus-gguf

分割されたファイルについて

Usage

Dataset used to train mmnga/c4ai-command-r-plus-gguf