Cambrian-1 Models
Collection
6 items • Updated • 21
How to use nyu-visionx/cambrian-13b with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="nyu-visionx/cambrian-13b") # Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("nyu-visionx/cambrian-13b", dtype="auto")How to use nyu-visionx/cambrian-13b with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "nyu-visionx/cambrian-13b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "nyu-visionx/cambrian-13b",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'docker model run hf.co/nyu-visionx/cambrian-13b
How to use nyu-visionx/cambrian-13b with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "nyu-visionx/cambrian-13b" \
--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": "nyu-visionx/cambrian-13b",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'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 "nyu-visionx/cambrian-13b" \
--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": "nyu-visionx/cambrian-13b",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'How to use nyu-visionx/cambrian-13b with Docker Model Runner:
docker model run hf.co/nyu-visionx/cambrian-13b
Model type: Cambrian is an open-source Multimodal LLM with vision-centric designs.
Model date: Cambrian-1-13B was trained in June 2024.
Paper or resources for more information:
Llama 3 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved.
Where to send questions or comments about the model: https://github.com/cambrian-mllm/cambrian/issues