Instructions to use HiTZ/rmloss-opt-rm-13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiTZ/rmloss-opt-rm-13b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="HiTZ/rmloss-opt-rm-13b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("HiTZ/rmloss-opt-rm-13b") model = AutoModelForCausalLM.from_pretrained("HiTZ/rmloss-opt-rm-13b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use HiTZ/rmloss-opt-rm-13b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "HiTZ/rmloss-opt-rm-13b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "HiTZ/rmloss-opt-rm-13b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/HiTZ/rmloss-opt-rm-13b
- SGLang
How to use HiTZ/rmloss-opt-rm-13b 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 "HiTZ/rmloss-opt-rm-13b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "HiTZ/rmloss-opt-rm-13b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "HiTZ/rmloss-opt-rm-13b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "HiTZ/rmloss-opt-rm-13b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use HiTZ/rmloss-opt-rm-13b with Docker Model Runner:
docker model run hf.co/HiTZ/rmloss-opt-rm-13b
Commit History
Create pytorch_model.bin.index.json f238f0d
Create vocab.json 9200abd
Create merges.txt 8f1e5b7
Create tokenizer_config.json a379e28
Create special_tokens_map.json 1365407
Update config.json 7cda7e8
Create config.json 1a9a31e
Model weights added 3abf966
jcampos commited on
initial commit da7ee79
Ixa taldea commited on