Instructions to use dlowl/dolly-v2-3b-endpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dlowl/dolly-v2-3b-endpoint with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="dlowl/dolly-v2-3b-endpoint")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("dlowl/dolly-v2-3b-endpoint") model = AutoModelForCausalLM.from_pretrained("dlowl/dolly-v2-3b-endpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use dlowl/dolly-v2-3b-endpoint with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "dlowl/dolly-v2-3b-endpoint" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "dlowl/dolly-v2-3b-endpoint", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/dlowl/dolly-v2-3b-endpoint
- SGLang
How to use dlowl/dolly-v2-3b-endpoint 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 "dlowl/dolly-v2-3b-endpoint" \ --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": "dlowl/dolly-v2-3b-endpoint", "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 "dlowl/dolly-v2-3b-endpoint" \ --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": "dlowl/dolly-v2-3b-endpoint", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use dlowl/dolly-v2-3b-endpoint with Docker Model Runner:
docker model run hf.co/dlowl/dolly-v2-3b-endpoint
Update README.md
#2
by cherry0328 - opened
The dolly-v2-3b model is truly impressive in its instruction-following capabilities. We would love to contribute by updating the README to include accurate information about the base model. This effort aims to enhance the completeness of the model card. Thank you !