Text Generation
Transformers
PyTorch
illuminator
fill-mask
causal-lm
transformer
ai-assistant
conversational
Instructions to use Anipal/iLLuMinator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anipal/iLLuMinator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Anipal/iLLuMinator") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelWithLMHead model = AutoModelWithLMHead.from_pretrained("Anipal/iLLuMinator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Anipal/iLLuMinator with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Anipal/iLLuMinator" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Anipal/iLLuMinator", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Anipal/iLLuMinator
- SGLang
How to use Anipal/iLLuMinator with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Anipal/iLLuMinator" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Anipal/iLLuMinator", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Anipal/iLLuMinator" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Anipal/iLLuMinator", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Anipal/iLLuMinator with Docker Model Runner:
docker model run hf.co/Anipal/iLLuMinator
Download tokenizer_config.json from Anipal/iLLuMinator: direct link, hf CLI and curl.
- Browser
- Download file 1.36 kB
-
https://huggingface.co/Anipal/iLLuMinator/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Anipal/iLLuMinator/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Anipal/iLLuMinator/resolve/main/tokenizer_config.json
1.36 kB
| { | |
| "add_bos_token": true, | |
| "add_eos_token": false, | |
| "add_prefix_space": false, | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "<|pad|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "<|bos|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "<|eos|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "3": { | |
| "content": "<|unk|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "additional_special_tokens": [], | |
| "bos_token": "<|bos|>", | |
| "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{'<|im_start|>assistant\n'}}{% endif %}", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|eos|>", | |
| "errors": "replace", | |
| "model_max_length": 4096, | |
| "pad_token": "<|pad|>", | |
| "split_special_tokens": false, | |
| "tokenizer_class": "IlluminatorTokenizer", | |
| "unk_token": "<|unk|>", | |
| "use_default_system_prompt": false | |
| } | |