Instructions to use Dampish/Stellar4-FRE_0.7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dampish/Stellar4-FRE_0.7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Dampish/Stellar4-FRE_0.7")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Dampish/Stellar4-FRE_0.7") model = AutoModelForCausalLM.from_pretrained("Dampish/Stellar4-FRE_0.7") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Dampish/Stellar4-FRE_0.7 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Dampish/Stellar4-FRE_0.7" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Dampish/Stellar4-FRE_0.7", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Dampish/Stellar4-FRE_0.7
- SGLang
How to use Dampish/Stellar4-FRE_0.7 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 "Dampish/Stellar4-FRE_0.7" \ --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": "Dampish/Stellar4-FRE_0.7", "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 "Dampish/Stellar4-FRE_0.7" \ --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": "Dampish/Stellar4-FRE_0.7", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Dampish/Stellar4-FRE_0.7 with Docker Model Runner:
docker model run hf.co/Dampish/Stellar4-FRE_0.7
metadata
license: cc-by-nc-4.0
Model based on Stellar4 trained on french data, the 0.7 signifies for how complete the learning is. the training was cut short so it is not as good as original model. However, this model is to demonstrate the power of Stellar4 and redpajama.
Specs
2.8B parameters
0.7 Epochs training
25K examples
Reached 0.75 Validation loss and 0.6 learning loss.