Instructions to use trl-internal-testing/tiny-Qwen3_5MoeForConditionalGeneration-3.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use trl-internal-testing/tiny-Qwen3_5MoeForConditionalGeneration-3.6 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-Qwen3_5MoeForConditionalGeneration-3.6")
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-Qwen3_5MoeForConditionalGeneration-3.6")
model = AutoModelForImageTextToText.from_pretrained("trl-internal-testing/tiny-Qwen3_5MoeForConditionalGeneration-3.6")
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-Qwen3_5MoeForConditionalGeneration-3.6 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-Qwen3_5MoeForConditionalGeneration-3.6"
# 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-Qwen3_5MoeForConditionalGeneration-3.6",
		"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-Qwen3_5MoeForConditionalGeneration-3.6

SGLang

How to use trl-internal-testing/tiny-Qwen3_5MoeForConditionalGeneration-3.6 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-Qwen3_5MoeForConditionalGeneration-3.6" \
    --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-Qwen3_5MoeForConditionalGeneration-3.6",
		"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-Qwen3_5MoeForConditionalGeneration-3.6" \
        --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-Qwen3_5MoeForConditionalGeneration-3.6",
		"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-Qwen3_5MoeForConditionalGeneration-3.6 with Docker Model Runner:
```
docker model run hf.co/trl-internal-testing/tiny-Qwen3_5MoeForConditionalGeneration-3.6
```

qgallouedec HF Staff commited on Apr 25

Commit

f0e3fc0

verified ·

1 Parent(s): bbe02d2

Upload Qwen3_5MoeForConditionalGeneration

Browse files

Files changed (3) hide show

config.json +2 -2
generation_config.json +6 -10
model.safetensors +1 -1

config.json CHANGED Viewed

@@ -59,7 +59,7 @@
     "vocab_size": 248320
   },
   "tie_word_embeddings": false,
-  "transformers_version": "5.7.0.dev0",
   "video_token_id": 248057,
   "vision_config": {
     "deepstack_visual_indexes": [],
@@ -69,7 +69,7 @@
     "in_channels": 3,
     "initializer_range": 0.02,
     "intermediate_size": 32,
-    "model_type": "qwen3_5_moe_vision",
     "num_heads": 4,
     "num_position_embeddings": 2304,
     "out_hidden_size": 16,

     "vocab_size": 248320
   },
   "tie_word_embeddings": false,
+  "transformers_version": "5.2.0",
   "video_token_id": 248057,
   "vision_config": {
     "deepstack_visual_indexes": [],
     "in_channels": 3,
     "initializer_range": 0.02,
     "intermediate_size": 32,
+    "model_type": "qwen3_5_moe",
     "num_heads": 4,
     "num_position_embeddings": 2304,
     "out_hidden_size": 16,

generation_config.json CHANGED Viewed

@@ -1,13 +1,9 @@
 {
   "bos_token_id": 248044,
-  "do_sample": true,
-  "eos_token_id": [
-    248046,
-    248044
-  ],
-  "pad_token_id": 248044,
-  "temperature": 1.0,
-  "top_k": 20,
-  "top_p": 0.95,
-  "transformers_version": "5.7.0.dev0"
 }

 {
+  "_from_model_config": true,
   "bos_token_id": 248044,
+  "eos_token_id": 248044,
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "transformers_version": "5.2.0",
+  "use_cache": true
 }

model.safetensors CHANGED Viewed

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