Instructions to use Infi-MM/infimm-hd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Infi-MM/infimm-hd with Transformers:

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

pipe = pipeline("text-generation", model="Infi-MM/infimm-hd", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("Infi-MM/infimm-hd", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Infi-MM/infimm-hd with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Infi-MM/infimm-hd"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Infi-MM/infimm-hd",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Infi-MM/infimm-hd

SGLang

How to use Infi-MM/infimm-hd 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 "Infi-MM/infimm-hd" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Infi-MM/infimm-hd",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "Infi-MM/infimm-hd" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Infi-MM/infimm-hd",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Infi-MM/infimm-hd with Docker Model Runner:
```
docker model run hf.co/Infi-MM/infimm-hd
```

License confusion

by ReiFr1z - opened Mar 6, 2024

Discussion

ReiFr1z

Mar 6, 2024

The header License is MIT. Modelcard License is CC BY-NC 4.0 and the Link "See LICENSE for more information." goes to nowhere.

It would be nice if that were specified more clearly.

lllliuhhhhggg

InfiMM org Mar 6, 2024

•

edited Mar 6, 2024

Sorry to confuse you. Please refer to the modelcard and we have updated the link. You can check it now.

lllliuhhhhggg locked this discussion Mar 7, 2024

lllliuhhhhggg unlocked this discussion Mar 7, 2024

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