Instructions to use lamm-mit/Cephalo-Phi-3-vision-128k-4b-alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use lamm-mit/Cephalo-Phi-3-vision-128k-4b-alpha with Transformers:

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

pipe = pipeline("image-text-to-text", model="lamm-mit/Cephalo-Phi-3-vision-128k-4b-alpha", trust_remote_code=True)
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("lamm-mit/Cephalo-Phi-3-vision-128k-4b-alpha", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use lamm-mit/Cephalo-Phi-3-vision-128k-4b-alpha with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "lamm-mit/Cephalo-Phi-3-vision-128k-4b-alpha"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "lamm-mit/Cephalo-Phi-3-vision-128k-4b-alpha",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/lamm-mit/Cephalo-Phi-3-vision-128k-4b-alpha

SGLang

How to use lamm-mit/Cephalo-Phi-3-vision-128k-4b-alpha 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 "lamm-mit/Cephalo-Phi-3-vision-128k-4b-alpha" \
    --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": "lamm-mit/Cephalo-Phi-3-vision-128k-4b-alpha",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

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 "lamm-mit/Cephalo-Phi-3-vision-128k-4b-alpha" \
        --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": "lamm-mit/Cephalo-Phi-3-vision-128k-4b-alpha",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use lamm-mit/Cephalo-Phi-3-vision-128k-4b-alpha with Docker Model Runner:
```
docker model run hf.co/lamm-mit/Cephalo-Phi-3-vision-128k-4b-alpha
```

Cephalo-Phi-3-vision-128k-4b-alpha / config.json

mjbuehler

Update config.json

905ae39 verified about 2 years ago

raw

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	{
	"_name_or_path": "lamm-mit/Cephalo-Phi-3-vision-128k",
	"architectures": [
	"Phi3VForCausalLM"
	],
	"attention_dropout": 0.0,
	"auto_map": {
	"AutoConfig": "microsoft/Phi-3-vision-128k-instruct--configuration_phi3_v.Phi3VConfig",
	"AutoModelForCausalLM": "microsoft/Phi-3-vision-128k-instruct--modeling_phi3_v.Phi3VForCausalLM"
	},
	"bos_token_id": 1,
	"embd_layer": {
	"embedding_cls": "image",
	"hd_transform_order": "sub_glb",
	"projection_cls": "mlp",
	"use_hd_transform": true,
	"with_learnable_separator": true
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	"embd_pdrop": 0.0,
	"eos_token_id": 2,
	"hidden_act": "silu",
	"hidden_size": 3072,
	"img_processor": {
	"image_dim_out": 1024,
	"model_name": "openai/clip-vit-large-patch14-336",
	"name": "clip_vision_model",
	"num_img_tokens": 144
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	"initializer_range": 0.02,
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	"short_factor": [
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	"type": "su"
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	"rope_theta": 10000.0,
	"sliding_window": 131072,
	"tie_word_embeddings": false,
	"torch_dtype": "bfloat16",
	"transformers_version": "4.42.0.dev0",
	"use_cache": true,
	"vocab_size": 32064
	}