Instructions to use dots-studio/dots3-note-prev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use dots-studio/dots3-note-prev with Transformers:

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

pipe = pipeline("image-text-to-text", model="dots-studio/dots3-note-prev")
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("dots-studio/dots3-note-prev", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use dots-studio/dots3-note-prev with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "dots-studio/dots3-note-prev"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "dots-studio/dots3-note-prev",
		"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/dots-studio/dots3-note-prev

SGLang

How to use dots-studio/dots3-note-prev 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 "dots-studio/dots3-note-prev" \
    --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": "dots-studio/dots3-note-prev",
		"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 "dots-studio/dots3-note-prev" \
        --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": "dots-studio/dots3-note-prev",
		"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 dots-studio/dots3-note-prev with Docker Model Runner:
```
docker model run hf.co/dots-studio/dots3-note-prev
```

SaylorTwift HF Staff commited on about 6 hours ago

Commit

e8d2aa5

verified ·

1 Parent(s): 09293f6

Add community evaluation results

Browse files

Files changed (1) hide show

.eval_results/dots3-note-prev.yaml +94 -0

.eval_results/dots3-note-prev.yaml ADDED Viewed

	@@ -0,0 +1,94 @@

+- dataset:
+    id: SWE-bench/SWE-bench_Verified
+    task_id: swe_bench_%_resolved
+  value: 78.4
+  date: "2026-08-14"
+  source:
+    url: https://huggingface.co/dots-studio/dots3-note-prev
+    name: "dots3-note Preview model card"
+- dataset:
+    id: SWE-bench/SWE-bench_Multilingual
+    task_id: swe_bench_multilingual_%_resolved
+  value: 75.7
+  date: "2026-08-14"
+  source:
+    url: https://huggingface.co/dots-studio/dots3-note-prev
+    name: "dots3-note Preview model card"
+- dataset:
+    id: ScaleAI/SWE-bench_Pro
+    task_id: SWE_Bench_Pro
+  value: 61.0
+  date: "2026-08-14"
+  source:
+    url: https://huggingface.co/dots-studio/dots3-note-prev
+    name: "dots3-note Preview model card"
+- dataset:
+    id: claw-eval/Claw-Eval
+    task_id: general
+  value: 73.4
+  date: "2026-08-14"
+  source:
+    url: https://huggingface.co/dots-studio/dots3-note-prev
+    name: "dots3-note Preview model card"
+  notes: "Model card reports one aggregate Pass^3 score without a split breakdown; mapped to the general split."
+- dataset:
+    id: internlm/WildClawBench
+    task_id: overall
+  value: 61.7
+  date: "2026-08-14"
+  source:
+    url: https://huggingface.co/dots-studio/dots3-note-prev
+    name: "dots3-note Preview model card"
+- dataset:
+    id: MMMU/MMMU_Pro
+    task_id: mmmu_pro_standard_10_options
+  value: 79.1
+  date: "2026-08-14"
+  source:
+    url: https://huggingface.co/dots-studio/dots3-note-prev
+    name: "dots3-note Preview model card"
+- dataset:
+    id: cais/hle
+    task_id: hle
+  value: 52.6
+  date: "2026-08-14"
+  source:
+    url: https://huggingface.co/dots-studio/dots3-note-prev
+    name: "dots3-note Preview model card"
+  notes: "Reported as 'HLE w/ tool' — evaluated with tool/browsing access enabled, not the closed-book default."
+- dataset:
+    id: mercor/apex-agents
+    task_id: apex-agents
+  value: 30.8
+  date: "2026-08-14"
+  source:
+    url: https://huggingface.co/dots-studio/dots3-note-prev
+    name: "dots3-note Preview model card"
+  notes: "Multimodal setting via the Archipelago harness; pass@1, judged by Gemini-3.5-flash."
+- dataset:
+    id: MME-Benchmarks/Video-MME-v2
+    task_id: video-mme-v2
+  value: 39.3
+  date: "2026-08-14"
+  source:
+    url: https://huggingface.co/dots-studio/dots3-note-prev
+    name: "dots3-note Preview model card"
+  notes: "Evaluated with audio input enabled."
+- dataset:
+    id: benchflow/skillsbench
+    task_id: skillsbench_v1_1
+  value: 52.8
+  date: "2026-08-14"
+  source:
+    url: https://huggingface.co/dots-studio/dots3-note-prev
+    name: "dots3-note Preview model card"
+  notes: "With-skills condition (not the with/without-skills lift, which is SkillsBench's other headline metric)."