Instructions to use eachadea/vicuna-13b-1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eachadea/vicuna-13b-1.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="eachadea/vicuna-13b-1.1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("eachadea/vicuna-13b-1.1") model = AutoModelForCausalLM.from_pretrained("eachadea/vicuna-13b-1.1") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use eachadea/vicuna-13b-1.1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "eachadea/vicuna-13b-1.1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "eachadea/vicuna-13b-1.1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/eachadea/vicuna-13b-1.1
- SGLang
How to use eachadea/vicuna-13b-1.1 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 "eachadea/vicuna-13b-1.1" \ --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": "eachadea/vicuna-13b-1.1", "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 "eachadea/vicuna-13b-1.1" \ --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": "eachadea/vicuna-13b-1.1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use eachadea/vicuna-13b-1.1 with Docker Model Runner:
docker model run hf.co/eachadea/vicuna-13b-1.1
My observation over the previous model
#2
by samjack - opened
I think the biggest change is the change in the eos token.
The previous model was creating and responding by itself as if auto gpt was installed.
In this model, it stops after answering. Much more suitable for chat mode, but sad for those who like to use this model in notebook mode.
Yeah.
I've moved the legacy code to https://huggingface.co/eachadea/legacy-vicuna-13b