Instructions to use dranger003/c4ai-command-r-plus-iMat.GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use dranger003/c4ai-command-r-plus-iMat.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 dranger003/c4ai-command-r-plus-iMat.GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf dranger003/c4ai-command-r-plus-iMat.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 dranger003/c4ai-command-r-plus-iMat.GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf dranger003/c4ai-command-r-plus-iMat.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 dranger003/c4ai-command-r-plus-iMat.GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf dranger003/c4ai-command-r-plus-iMat.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 dranger003/c4ai-command-r-plus-iMat.GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf dranger003/c4ai-command-r-plus-iMat.GGUF:Q4_K_M

Use Docker

docker model run hf.co/dranger003/c4ai-command-r-plus-iMat.GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use dranger003/c4ai-command-r-plus-iMat.GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "dranger003/c4ai-command-r-plus-iMat.GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "dranger003/c4ai-command-r-plus-iMat.GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/dranger003/c4ai-command-r-plus-iMat.GGUF:Q4_K_M

Ollama
How to use dranger003/c4ai-command-r-plus-iMat.GGUF with Ollama:
```
ollama run hf.co/dranger003/c4ai-command-r-plus-iMat.GGUF:Q4_K_M
```

Unsloth Studio

How to use dranger003/c4ai-command-r-plus-iMat.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 dranger003/c4ai-command-r-plus-iMat.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 dranger003/c4ai-command-r-plus-iMat.GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for dranger003/c4ai-command-r-plus-iMat.GGUF to start chatting

Docker Model Runner
How to use dranger003/c4ai-command-r-plus-iMat.GGUF with Docker Model Runner:
```
docker model run hf.co/dranger003/c4ai-command-r-plus-iMat.GGUF:Q4_K_M
```

Lemonade

How to use dranger003/c4ai-command-r-plus-iMat.GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull dranger003/c4ai-command-r-plus-iMat.GGUF:Q4_K_M

Run and chat with the model

lemonade run user.c4ai-command-r-plus-iMat.GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

Garbled output in llama.cpp

#13

by snakerassler - opened Apr 12, 2024

Discussion

snakerassler

Apr 12, 2024

I have the newest build of llama.cpp and tried running it against the two split files without merging them (which is supposed to work, right?) and while the output was words and sentences, they didn't make much sense. Any idea what I could be doing wrong or do the files need to be merged?

dranger003

Owner Apr 12, 2024

@spanielrassler I'll need more info, can you paste the full output or provide the log file? I tested all the quants in their split form and they all worked here.

snakerassler

Apr 12, 2024

Thanks for the quick response. I don't know what happened but after I just pulled the code again and merged the file using the merge tool it worked so it obviously wasn't your quants that were causing the problem. Thanks for your effort!

snakerassler changed discussion status to closed Apr 12, 2024

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment