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
Pretraining datasets?
Do you have an overview of the pretraining datasets, that you've trained the model on?
You're linking to several datasets in your YAML metadata (e.g., HPLT2.0, Fineweb2 and MADLAD-400). Is that an exhaustive list?
That would help a lot with transparency :)
We have listed: culturax fineweb-2 hplt hplt2 madlad-400
Not listed because the data is not on Wikipedia, HF is speakleash, Eurolex, corpora from OPUS (cc_matrix, paracrawl, Europarl, ect). There were some data donations from Slovenian, Slovak and Estonian institutions, which were mostly data already found in other data sources.
We will detail more precisely in the technical report when we get to it.