Instructions to use SkunkworksAI/BakLLaVA-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkunkworksAI/BakLLaVA-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SkunkworksAI/BakLLaVA-1")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("SkunkworksAI/BakLLaVA-1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use SkunkworksAI/BakLLaVA-1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SkunkworksAI/BakLLaVA-1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SkunkworksAI/BakLLaVA-1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/SkunkworksAI/BakLLaVA-1
- SGLang
How to use SkunkworksAI/BakLLaVA-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 "SkunkworksAI/BakLLaVA-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": "SkunkworksAI/BakLLaVA-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 "SkunkworksAI/BakLLaVA-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": "SkunkworksAI/BakLLaVA-1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use SkunkworksAI/BakLLaVA-1 with Docker Model Runner:
docker model run hf.co/SkunkworksAI/BakLLaVA-1
Adding `safetensors` variant of this model
#9 opened over 1 year ago
by
SFconvertbot
Time taken to train BakLLaVA?
#8 opened over 2 years ago
by
attnmamba
BakLLaVa 2?
❤️ 2
2
#7 opened over 2 years ago
by
gameveloster
Runpod deployment instructions
1
#6 opened over 2 years ago
by
reedbender
Update README.md
#5 opened over 2 years ago
by
abhijeet2002
Could you guys use 10x A40-48GBs to accelerate your research?
❤️ 2
2
#4 opened over 2 years ago
by
rmonsurate
Is it a lora?
#3 opened over 2 years ago
by
kopyl
Inference Endpoints throwing an error
2
#2 opened over 2 years ago
by
kk-envision
I am interested in contributing, not sure how to help out.
#1 opened over 2 years ago
by
devmandan