Instructions to use trl-internal-testing/tiny-Qwen2_5_VLForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use trl-internal-testing/tiny-Qwen2_5_VLForConditionalGeneration with Transformers:

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

pipe = pipeline("image-text-to-text", model="trl-internal-testing/tiny-Qwen2_5_VLForConditionalGeneration")
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("trl-internal-testing/tiny-Qwen2_5_VLForConditionalGeneration")
model = AutoModelForImageTextToText.from_pretrained("trl-internal-testing/tiny-Qwen2_5_VLForConditionalGeneration")
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 Settings

vLLM

How to use trl-internal-testing/tiny-Qwen2_5_VLForConditionalGeneration with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "trl-internal-testing/tiny-Qwen2_5_VLForConditionalGeneration"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "trl-internal-testing/tiny-Qwen2_5_VLForConditionalGeneration",
		"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/trl-internal-testing/tiny-Qwen2_5_VLForConditionalGeneration

SGLang

How to use trl-internal-testing/tiny-Qwen2_5_VLForConditionalGeneration 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 "trl-internal-testing/tiny-Qwen2_5_VLForConditionalGeneration" \
    --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": "trl-internal-testing/tiny-Qwen2_5_VLForConditionalGeneration",
		"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 "trl-internal-testing/tiny-Qwen2_5_VLForConditionalGeneration" \
        --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": "trl-internal-testing/tiny-Qwen2_5_VLForConditionalGeneration",
		"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 trl-internal-testing/tiny-Qwen2_5_VLForConditionalGeneration with Docker Model Runner:
```
docker model run hf.co/trl-internal-testing/tiny-Qwen2_5_VLForConditionalGeneration
```

kashif HF Staff commited on Oct 30, 2025

Commit

b0b2701

verified ·

1 Parent(s): 8260067

Fix mrope_section config: [2] -> [1, 1] for Liger kernel compatibility

Browse files

Files changed (3) hide show

config.json +10 -10
generation_config.json +1 -1
model.safetensors +1 -1

config.json CHANGED Viewed

@@ -7,20 +7,22 @@
   "dtype": "bfloat16",
   "eos_token_id": 151645,
   "hidden_act": "silu",
-  "hidden_size": 16,
   "image_token_id": 151655,
   "initializer_range": 0.02,
   "intermediate_size": 11008,
   "max_position_embeddings": 128000,
   "max_window_layers": 70,
   "model_type": "qwen2_5_vl",
-  "num_attention_heads": 4,
-  "num_hidden_layers": 2,
   "num_key_value_heads": 2,
   "rms_norm_eps": 1e-06,
   "rope_scaling": {
     "mrope_section": [
-      2
     ],
     "rope_type": "default",
     "type": "default"
@@ -28,6 +30,7 @@
   "rope_theta": 1000000.0,
   "sliding_window": 32768,
   "text_config": {
     "architectures": [
       "Qwen2_5_VLForConditionalGeneration"
     ],
@@ -37,7 +40,6 @@
     "eos_token_id": 151645,
     "hidden_act": "silu",
     "hidden_size": 16,
-    "image_token_id": null,
     "initializer_range": 0.02,
     "intermediate_size": 11008,
     "layer_types": [
@@ -53,7 +55,8 @@
     "rms_norm_eps": 1e-06,
     "rope_scaling": {
       "mrope_section": [
-        2
       ],
       "rope_type": "default",
       "type": "default"
@@ -63,13 +66,10 @@
     "tie_word_embeddings": true,
     "use_cache": true,
     "use_sliding_window": false,
-    "video_token_id": null,
-    "vision_end_token_id": 151653,
-    "vision_start_token_id": 151652,
     "vision_token_id": 151654,
     "vocab_size": 151936
   },
-  "transformers_version": "4.56.1",
   "use_cache": true,
   "use_sliding_window": false,
   "video_token_id": 151656,

   "dtype": "bfloat16",
   "eos_token_id": 151645,
   "hidden_act": "silu",
+  "hidden_size": 2048,
   "image_token_id": 151655,
   "initializer_range": 0.02,
   "intermediate_size": 11008,
   "max_position_embeddings": 128000,
   "max_window_layers": 70,
   "model_type": "qwen2_5_vl",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 36,
   "num_key_value_heads": 2,
   "rms_norm_eps": 1e-06,
   "rope_scaling": {
     "mrope_section": [
+      16,
+      24,
+      24
     ],
     "rope_type": "default",
     "type": "default"
   "rope_theta": 1000000.0,
   "sliding_window": 32768,
   "text_config": {
+    "_name_or_path": "Qwen/Qwen2.5-VL-3B-Instruct",
     "architectures": [
       "Qwen2_5_VLForConditionalGeneration"
     ],
     "eos_token_id": 151645,
     "hidden_act": "silu",
     "hidden_size": 16,
     "initializer_range": 0.02,
     "intermediate_size": 11008,
     "layer_types": [
     "rms_norm_eps": 1e-06,
     "rope_scaling": {
       "mrope_section": [
+        1,
+        1
       ],
       "rope_type": "default",
       "type": "default"
     "tie_word_embeddings": true,
     "use_cache": true,
     "use_sliding_window": false,
     "vision_token_id": 151654,
     "vocab_size": 151936
   },
+  "transformers_version": "4.57.1",
   "use_cache": true,
   "use_sliding_window": false,
   "video_token_id": 151656,

generation_config.json CHANGED Viewed

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 151643,
   "eos_token_id": 151645,
-  "transformers_version": "4.56.1"
 }

   "_from_model_config": true,
   "bos_token_id": 151643,
   "eos_token_id": 151645,
+  "transformers_version": "4.57.1"
 }

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
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