Transformers
GGUF
Portuguese
portuguese
português
PT-PT
português-europeu
direito
jurídico
chat
legaltech
virtuo-turing
cláudia-gil
octávio-viana
chat_noir
uncensored
instruction-following
portugal
conversational
Instructions to use mradermacher/chat_noir-24b-v3-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/chat_noir-24b-v3-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/chat_noir-24b-v3-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/chat_noir-24b-v3-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 mradermacher/chat_noir-24b-v3-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/chat_noir-24b-v3-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 mradermacher/chat_noir-24b-v3-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/chat_noir-24b-v3-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 mradermacher/chat_noir-24b-v3-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/chat_noir-24b-v3-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 mradermacher/chat_noir-24b-v3-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/chat_noir-24b-v3-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/chat_noir-24b-v3-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/chat_noir-24b-v3-GGUF with Ollama:
ollama run hf.co/mradermacher/chat_noir-24b-v3-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/chat_noir-24b-v3-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/chat_noir-24b-v3-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/chat_noir-24b-v3-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/chat_noir-24b-v3-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.chat_noir-24b-v3-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
- Xet hash:
- 8f25cb51a094a86314d5db3231164b5a310a0c2ee04d5e672a41651217f58911
- Size of remote file:
- 25.1 GB
- SHA256:
- 9c6140ce42f7ed5cab9a3d30a6356921541ca8de58713c2f289a0204178c09df
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.