Instructions to use lmsys/vicuna-7b-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmsys/vicuna-7b-v1.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="lmsys/vicuna-7b-v1.5")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("lmsys/vicuna-7b-v1.5") model = AutoModelForCausalLM.from_pretrained("lmsys/vicuna-7b-v1.5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use lmsys/vicuna-7b-v1.5 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "lmsys/vicuna-7b-v1.5" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lmsys/vicuna-7b-v1.5", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/lmsys/vicuna-7b-v1.5
- SGLang
How to use lmsys/vicuna-7b-v1.5 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 "lmsys/vicuna-7b-v1.5" \ --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": "lmsys/vicuna-7b-v1.5", "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 "lmsys/vicuna-7b-v1.5" \ --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": "lmsys/vicuna-7b-v1.5", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use lmsys/vicuna-7b-v1.5 with Docker Model Runner:
docker model run hf.co/lmsys/vicuna-7b-v1.5
Update README.md
#22 opened 7 months ago
by
cherry0328
Update README.md
#21 opened 12 months ago
by
seohz
Delete pytorch_model.bin.index.json
#20 opened over 1 year ago
by
shhibbnglulul
Interview request: genAI evaluation & documentation
#19 opened almost 2 years ago
by
meggymuggy
fine-tunning
#17 opened about 2 years ago
by
chenxiw
Why was the Vicuna chat_template removed?
👍 11
#16 opened over 2 years ago
by
tbenthompson
Instruction format?
2
#15 opened over 2 years ago
by
SantiagoCorley
[AUTOMATED] Model Memory Requirements
#14 opened over 2 years ago
by
model-sizer-bot
Adding `safetensors` variant of this model
#13 opened over 2 years ago
by
SFconvertbot
Adding Evaluation Results
#8 opened almost 3 years ago
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leaderboard-pr-bot
Huggingface warnings about temp and top_p
👍 9
1
#5 opened almost 3 years ago
by
bhperry
RoPE scaling guidance
#4 opened almost 3 years ago
by
RonanMcGovern
Adding `safetensors` variant of this model
1
#3 opened almost 3 years ago
by
hybtel
Does the respected author have any plans to increase Chinese language data?
#1 opened about 3 years ago
by
poarpeak