Instructions to use VirtuoTuring/chat_noir-24b-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use VirtuoTuring/chat_noir-24b-gguf with Adapters:

from adapters import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("fill-in-model-name")
model.load_adapter("VirtuoTuring/chat_noir-24b-gguf", set_active=True)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use VirtuoTuring/chat_noir-24b-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 VirtuoTuring/chat_noir-24b-gguf:F16
# Run inference directly in the terminal:
llama cli -hf VirtuoTuring/chat_noir-24b-gguf:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf VirtuoTuring/chat_noir-24b-gguf:F16
# Run inference directly in the terminal:
llama cli -hf VirtuoTuring/chat_noir-24b-gguf:F16

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 VirtuoTuring/chat_noir-24b-gguf:F16
# Run inference directly in the terminal:
./llama-cli -hf VirtuoTuring/chat_noir-24b-gguf:F16

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 VirtuoTuring/chat_noir-24b-gguf:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf VirtuoTuring/chat_noir-24b-gguf:F16

Use Docker

docker model run hf.co/VirtuoTuring/chat_noir-24b-gguf:F16

LM Studio
Jan

vLLM

How to use VirtuoTuring/chat_noir-24b-gguf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "VirtuoTuring/chat_noir-24b-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": "VirtuoTuring/chat_noir-24b-gguf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/VirtuoTuring/chat_noir-24b-gguf:F16

Ollama
How to use VirtuoTuring/chat_noir-24b-gguf with Ollama:
```
ollama run hf.co/VirtuoTuring/chat_noir-24b-gguf:F16
```
Unsloth Desktop
Docker Model Runner
How to use VirtuoTuring/chat_noir-24b-gguf with Docker Model Runner:
```
docker model run hf.co/VirtuoTuring/chat_noir-24b-gguf:F16
```

Lemonade

How to use VirtuoTuring/chat_noir-24b-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull VirtuoTuring/chat_noir-24b-gguf:F16

Run and chat with the model

lemonade run user.chat_noir-24b-gguf-F16

List all available models

lemonade list

Atomic Chat

VirtuoTuring commited on Oct 18, 2025

Commit

458940c

verified ·

1 Parent(s): ab57ed6

Update README.md

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README.md +16 -2

README.md CHANGED Viewed

@@ -2,6 +2,21 @@
 license: other
 license_name: virtuo
 license_link: https://justina.cloud/licenses_models/virtuo/virtuo_1_0.txt
 ---
 # Chat Noir (Virtuo Turing)
@@ -140,5 +155,4 @@ Website oficial: [https://justina.cloud](https://justina.cloud)
 ### Créditos
 Desenvolvido e treinado por Virtuo Turing – Artificial Intelligence, S.A. (Portugal)
 em parceria com Octávio Viana.
-Baseado na arquitetura Mistral-24B, © Mistral AI, distribuída sob licença Apache 2.0.

 license: other
 license_name: virtuo
 license_link: https://justina.cloud/licenses_models/virtuo/virtuo_1_0.txt
+language:
+- pt
+- en
+- fr
+- es
+base_model:
+- mistralai/Mistral-Small-24B-Instruct-2501
+pipeline_tag: text-generation
+library_name: adapter-transformers
+tags:
+- chat_noir
+- virtuo_turing
+- legal-tech
+- cláudia_gil
+- octávio_viana
 ---
 # Chat Noir (Virtuo Turing)
 ### Créditos
 Desenvolvido e treinado por Virtuo Turing – Artificial Intelligence, S.A. (Portugal)
 em parceria com Octávio Viana.
+Baseado na arquitetura Mistral-24B, © Mistral AI, distribuída sob licença Apache 2.0.