Instructions to use OpenLLM-France/Lucie-7B-Instruct-human-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OpenLLM-France/Lucie-7B-Instruct-human-data with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="OpenLLM-France/Lucie-7B-Instruct-human-data",
	filename="Lucie-7B-Instruct-human-data-q4_k_m.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use OpenLLM-France/Lucie-7B-Instruct-human-data with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf OpenLLM-France/Lucie-7B-Instruct-human-data:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf OpenLLM-France/Lucie-7B-Instruct-human-data:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf OpenLLM-France/Lucie-7B-Instruct-human-data:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf OpenLLM-France/Lucie-7B-Instruct-human-data: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 OpenLLM-France/Lucie-7B-Instruct-human-data:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf OpenLLM-France/Lucie-7B-Instruct-human-data: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 OpenLLM-France/Lucie-7B-Instruct-human-data:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf OpenLLM-France/Lucie-7B-Instruct-human-data:Q4_K_M

Use Docker

docker model run hf.co/OpenLLM-France/Lucie-7B-Instruct-human-data:Q4_K_M

LM Studio
Jan

vLLM

How to use OpenLLM-France/Lucie-7B-Instruct-human-data with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OpenLLM-France/Lucie-7B-Instruct-human-data"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OpenLLM-France/Lucie-7B-Instruct-human-data",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/OpenLLM-France/Lucie-7B-Instruct-human-data:Q4_K_M

Ollama
How to use OpenLLM-France/Lucie-7B-Instruct-human-data with Ollama:
```
ollama run hf.co/OpenLLM-France/Lucie-7B-Instruct-human-data:Q4_K_M
```

Unsloth Studio new

How to use OpenLLM-France/Lucie-7B-Instruct-human-data 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 OpenLLM-France/Lucie-7B-Instruct-human-data 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 OpenLLM-France/Lucie-7B-Instruct-human-data to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for OpenLLM-France/Lucie-7B-Instruct-human-data to start chatting

Docker Model Runner
How to use OpenLLM-France/Lucie-7B-Instruct-human-data with Docker Model Runner:
```
docker model run hf.co/OpenLLM-France/Lucie-7B-Instruct-human-data:Q4_K_M
```

Lemonade

How to use OpenLLM-France/Lucie-7B-Instruct-human-data with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull OpenLLM-France/Lucie-7B-Instruct-human-data:Q4_K_M

Run and chat with the model

lemonade run user.Lucie-7B-Instruct-human-data-Q4_K_M

List all available models

lemonade list

juliehunter commited on Jan 13, 2025

Commit

ca796ac

verified ·

1 Parent(s): c32b8ef

Update Modelfile

Browse files

Files changed (1) hide show

Modelfile +6 -1

Modelfile CHANGED Viewed

@@ -12,6 +12,11 @@ TEMPLATE """{{ if .System }}<|start_header_id|>system<|end_header_id|>
 {{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>
 {{ .Response }}<|eot_id|>"""
 LICENSE "
                                  Apache License
                            Version 2.0, January 2004
@@ -213,4 +218,4 @@ LICENSE "
    distributed under the License is distributed on an “AS IS” BASIS,
    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    See the License for the specific language governing permissions and
-   limitations under the License."

 {{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>
 {{ .Response }}<|eot_id|>"""
+PARAMETER stop "<|start_header_id|>"
+PARAMETER stop "<|end_header_id|>"
+PARAMETER stop "<|eot_id|>"
+PARAMETER stop "</s>"
+PARAMETER stop "<s>"
 LICENSE "
                                  Apache License
                            Version 2.0, January 2004
    distributed under the License is distributed on an “AS IS” BASIS,
    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    See the License for the specific language governing permissions and
+   limitations under the License."