Instructions to use anymodality/llava-v1.5-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use anymodality/llava-v1.5-7b with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="anymodality/llava-v1.5-7b")

# Load model directly
from transformers import AutoProcessor, AutoModelForCausalLM

processor = AutoProcessor.from_pretrained("anymodality/llava-v1.5-7b")
model = AutoModelForCausalLM.from_pretrained("anymodality/llava-v1.5-7b", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use anymodality/llava-v1.5-7b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "anymodality/llava-v1.5-7b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "anymodality/llava-v1.5-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/anymodality/llava-v1.5-7b

SGLang

How to use anymodality/llava-v1.5-7b 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 "anymodality/llava-v1.5-7b" \
    --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": "anymodality/llava-v1.5-7b",
		"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 "anymodality/llava-v1.5-7b" \
        --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": "anymodality/llava-v1.5-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use anymodality/llava-v1.5-7b with Docker Model Runner:
```
docker model run hf.co/anymodality/llava-v1.5-7b
```

liltom-eth commited on Oct 19, 2023

Commit

d2cca8d

1 Parent(s): 4958310

update inference

Browse files

Files changed (2) hide show

code/inference.py +1 -1
code/requirements.txt +0 -1

code/inference.py CHANGED Viewed

@@ -2,7 +2,7 @@ import requests
 from PIL import Image
 from io import BytesIO
 import torch
-from transformers import AutoTokenizer, BitsAndBytesConfig
 from llava.model import LlavaLlamaForCausalLM
 from llava.utils import disable_torch_init

 from PIL import Image
 from io import BytesIO
 import torch
+from transformers import AutoTokenizer
 from llava.model import LlavaLlamaForCausalLM
 from llava.utils import disable_torch_init

code/requirements.txt CHANGED Viewed

	@@ -1,2 +1 @@
1	- # llava @ git+https://github.com/haotian-liu/LLaVA@main
2	llava @ git+https://github.com/haotian-liu/LLaVA@v1.1.1



1	llava @ git+https://github.com/haotian-liu/LLaVA@v1.1.1