Instructions to use OpenLLM-France/Lucie-7B-Instruct-human-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use OpenLLM-France/Lucie-7B-Instruct-human-data 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 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 serve -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
- Llama new
- 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 Desktop
- 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
- Atomic Chat
Download tokenizer_config.json from OpenLLM-France/Lucie-7B-Instruct-human-data: direct link, hf CLI and curl.
- Browser
- Download file 2.05 kB
-
https://huggingface.co/OpenLLM-France/Lucie-7B-Instruct-human-data/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://OpenLLM-France/Lucie-7B-Instruct-human-data/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/OpenLLM-France/Lucie-7B-Instruct-human-data/resolve/main/tokenizer_config.json
2.05 kB
| { | |
| "add_bos_token": true, | |
| "add_eos_token": false, | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "3": { | |
| "content": "<pad>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "265": { | |
| "content": "<|start_header_id|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "266": { | |
| "content": "<|end_header_id|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "267": { | |
| "content": "<|eot_id|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "additional_special_tokens": ["<|start_header_id|>", "<|end_header_id|>", "</s>"], | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|eot_id|>", | |
| "legacy": true, | |
| "model_max_length": 1000000000000000000000000000000, | |
| "pad_token": "<pad>", | |
| "sp_model_kwargs": {}, | |
| "spaces_between_special_tokens": false, | |
| "tokenizer_class": "LlamaTokenizer", | |
| "unk_token": "<unk>", | |
| "use_default_system_prompt": false, | |
| "chat_template": "{{- bos_token }}\n{%- for message in messages %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}\n{%- endif %}" | |
| } | |