Instructions to use Intel/llava-gemma-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Intel/llava-gemma-2b with Transformers:

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

pipe = pipeline("image-text-to-text", model="Intel/llava-gemma-2b")
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 AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("Intel/llava-gemma-2b")
model = AutoModelForImageTextToText.from_pretrained("Intel/llava-gemma-2b")
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?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Intel/llava-gemma-2b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Intel/llava-gemma-2b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Intel/llava-gemma-2b",
		"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/Intel/llava-gemma-2b

SGLang

How to use Intel/llava-gemma-2b 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 "Intel/llava-gemma-2b" \
    --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": "Intel/llava-gemma-2b",
		"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 "Intel/llava-gemma-2b" \
        --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": "Intel/llava-gemma-2b",
		"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 Intel/llava-gemma-2b with Docker Model Runner:
```
docker model run hf.co/Intel/llava-gemma-2b
```

musashihinck commited on Mar 25, 2024

Commit

7de365f

verified ·

1 Parent(s): a2ed3a6

Converting weights

Browse files

Files changed (7) hide show

README.md +2 -2
config.json +43 -38
generation_config.json +1 -13
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model-00002-of-00003.safetensors +3 -0
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README.md CHANGED Viewed

@@ -1,8 +1,8 @@
 ---
-license_name: gemma-terms
-license_link: https://ai.google.dev/gemma/terms
 language:
 - en
 ---
 # LLaVA-Gemma Model Card

 ---
 language:
 - en
+license_name: gemma-terms
+license_link: https://ai.google.dev/gemma/terms
 ---
 # LLaVA-Gemma Model Card

config.json CHANGED Viewed

@@ -1,43 +1,48 @@
 {
-  "_name_or_path": "/root/.cache/huggingface/hub/models--google--gemma-2b-it/snapshots/1027d96c1638a27f01ae935cd98bac7d1a01686c/",
   "architectures": [
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   ],
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-  "mm_vision_tower": "openai/clip-vit-large-patch14-336",
-  "model_type": "llava_gemma",
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-  "tune_mm_mlp_adapter": false,
-  "use_cache": false,
-  "use_mm_proj": true,
-  "vocab_size": 256000
 }

 {
+  "_name_or_path": "./llava-gemma-2b-it",
   "architectures": [
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   ],
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+  "model_type": "llava",
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+  "text_config": {
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+    "architectures": [
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+    ],
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+    "head_dim": 256,
+    "hidden_act": "gelu",
+    "hidden_size": 2048,
+    "intermediate_size": 16384,
+    "max_position_embeddings": 8192,
+    "model_type": "gemma",
+    "num_attention_heads": 8,
+    "num_hidden_layers": 18,
+    "num_key_value_heads": 1,
+    "pad_token_id": 0,
+    "rope_scaling": null,
+    "tie_word_embeddings": true,
+    "torch_dtype": "bfloat16",
+    "vocab_size": 256064
+  },
+  "torch_dtype": "float32",
   "transformers_version": "4.39.0.dev0",
+  "vision_config": {
+    "hidden_size": 1024,
+    "image_size": 336,
+    "intermediate_size": 4096,
+    "model_type": "clip_vision_model",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 24,
+    "patch_size": 14,
+    "projection_dim": 768,
+    "vocab_size": 32000
+  },
+  "vision_feature_layer": -2,
+  "vision_feature_select_strategy": "default",
+  "vocab_size": 256064
 }

generation_config.json CHANGED Viewed

@@ -1,19 +1,7 @@
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-  "bucket_internal": null,
-  "bucket_size": -1,
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-  "ignore_eos": null,
-  "kv_cache_fp8": null,
-  "limit_hpu_graphs": null,
   "pad_token_id": 0,
-  "reduce_recompile": null,
-  "reuse_cache": null,
-  "static_shapes": null,
-  "transformers_version": "4.39.0.dev0",
-  "trim_logits": null,
-  "use_flash_attention": null
 }

 {
   "_from_model_config": true,
   "bos_token_id": 2,
   "eos_token_id": 1,
   "pad_token_id": 0,
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