Instructions to use TildeAI/TildeOpen-30b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TildeAI/TildeOpen-30b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="TildeAI/TildeOpen-30b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("TildeAI/TildeOpen-30b") model = AutoModelForCausalLM.from_pretrained("TildeAI/TildeOpen-30b") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use TildeAI/TildeOpen-30b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "TildeAI/TildeOpen-30b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "TildeAI/TildeOpen-30b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/TildeAI/TildeOpen-30b
- SGLang
How to use TildeAI/TildeOpen-30b 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 "TildeAI/TildeOpen-30b" \ --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": "TildeAI/TildeOpen-30b", "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 "TildeAI/TildeOpen-30b" \ --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": "TildeAI/TildeOpen-30b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use TildeAI/TildeOpen-30b with Docker Model Runner:
docker model run hf.co/TildeAI/TildeOpen-30b
Update README.md
#2
by TBergmanis - opened
Adjusted results. Now takes into account that not all models have BOS tokens. Excludes loss computation on the first token for all models. Adds EuroLLM 22B Preview
TildeSIA changed pull request status to merged