Instructions to use moonshotai/Kimi-K3.1-Pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use moonshotai/Kimi-K3.1-Pro with Transformers:

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

pipe = pipeline("image-text-to-text", model="moonshotai/Kimi-K3.1-Pro", trust_remote_code=True)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForSeq2SeqLM
model = AutoModelForSeq2SeqLM.from_pretrained("moonshotai/Kimi-K3.1-Pro", trust_remote_code=True, device_map="auto")

Inference
HuggingChat
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use moonshotai/Kimi-K3.1-Pro with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "moonshotai/Kimi-K3.1-Pro"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "moonshotai/Kimi-K3.1-Pro",
		"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/moonshotai/Kimi-K3.1-Pro

SGLang

How to use moonshotai/Kimi-K3.1-Pro 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 "moonshotai/Kimi-K3.1-Pro" \
    --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": "moonshotai/Kimi-K3.1-Pro",
		"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 "moonshotai/Kimi-K3.1-Pro" \
        --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": "moonshotai/Kimi-K3.1-Pro",
		"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 moonshotai/Kimi-K3.1-Pro with Docker Model Runner:
```
docker model run hf.co/moonshotai/Kimi-K3.1-Pro
```

Add evaluation results

by SaylorTwift HF Staff - opened 8 days ago

base: refs/heads/main

←

from: refs/pr/2

Discussion Files changed

+96

-0

YAML Metadata Error:Invalid content in Eval Result file .eval_results/Kimi-K3.1-Pro.yaml

Check out the documentation for more information.

Show details

Task ID "hle" does not match any task in dataset "cais/hle". Available: none

YAML Metadata Error:Invalid content in Eval Result file .eval_results/Kimi-K3.1-Pro.yaml

Check out the documentation for more information.

Show details

Task ID "hle" does not match any task in dataset "cais/hle". Available: none

Files changed (1) hide show

.eval_results/Kimi-K3.1-Pro.yaml +96 -0

.eval_results/Kimi-K3.1-Pro.yaml ADDED Viewed

	@@ -0,0 +1,96 @@

+- dataset:
+    id: harborframework/terminal-bench
+    task_id: terminalbench_4
+  value: 65.7
+  date: "2026-11-02"
+  source:
+    url: https://huggingface.co/moonshotai/Kimi-K3.1-Pro
+    name: "Kimi-K3.1-Pro model card"
+  notes: "Claude Code harness."
+- dataset:
+    id: harborframework/terminal-bench-science
+    task_id: terminalbenchscience_0_1
+  value: 38.1
+  date: "2026-11-02"
+  source:
+    url: https://huggingface.co/moonshotai/Kimi-K3.1-Pro
+    name: "Kimi-K3.1-Pro model card"
+  notes: "Claude Code harness."
+- dataset:
+    id: datacurve/deep-swe
+    task_id: deep_swe
+  value: 75.5
+  date: "2026-11-02"
+  source:
+    url: https://huggingface.co/moonshotai/Kimi-K3.1-Pro
+    name: "Kimi-K3.1-Pro model card"
+  notes: "DeepSWE v1.1, Claude Code harness."
+- dataset:
+    id: cais/hle
+    task_id: hle
+  value: 51.1
+  date: "2026-11-02"
+  source:
+    url: https://huggingface.co/moonshotai/Kimi-K3.1-Pro
+    name: "Kimi-K3.1-Pro model card"
+  notes: "Full set (2,500 questions), without tools."
+- dataset:
+    id: cais/hle
+    task_id: hle
+  value: 70.0
+  date: "2026-11-02"
+  source:
+    url: https://huggingface.co/moonshotai/Kimi-K3.1-Pro
+    name: "Kimi-K3.1-Pro model card"
+  notes: "Full set (2,500 questions), with tools."
+- dataset:
+    id: Idavidrein/gpqa
+    task_id: diamond
+  value: 94.2
+  date: "2026-11-02"
+  source:
+    url: https://huggingface.co/moonshotai/Kimi-K3.1-Pro
+    name: "Kimi-K3.1-Pro model card"
+- dataset:
+    id: MMMU/MMMU_Pro
+    task_id: mmmu_pro_vision
+  value: 84.1
+  date: "2026-11-02"
+  source:
+    url: https://huggingface.co/moonshotai/Kimi-K3.1-Pro
+    name: "Kimi-K3.1-Pro model card"
+- dataset:
+    id: MMMU/MMMU_Pro
+    task_id: mmmu_pro_vision
+  value: 90.0
+  date: "2026-11-02"
+  source:
+    url: https://huggingface.co/moonshotai/Kimi-K3.1-Pro
+    name: "Kimi-K3.1-Pro model card"
+  notes: "With Python tool, averaged over 4 runs."
+- dataset:
+    id: agents-last-exam/agents-last-exam
+    task_id: overall-pass-rate
+  value: 43.2
+  date: "2026-11-02"
+  source:
+    url: https://huggingface.co/moonshotai/Kimi-K3.1-Pro
+    name: "Kimi-K3.1-Pro model card"
+  notes: "ALE v1.1 (ALL), Kimi Code harness. Card does not name the metric; mapped to pass rate."
+- dataset:
+    id: agents-last-exam/agents-last-exam
+    task_id: ale-cli-pass-rate
+  value: 44.2
+  date: "2026-11-02"
+  source:
+    url: https://huggingface.co/moonshotai/Kimi-K3.1-Pro
+    name: "Kimi-K3.1-Pro model card"
+  notes: "ALE v1.1 (CLI), Kimi Code harness. Card does not name the metric; mapped to pass rate."
+- dataset:
+    id: mercor/apex-agents
+    task_id: apex-agents
+  value: 69.4
+  date: "2026-11-02"
+  source:
+    url: https://huggingface.co/moonshotai/Kimi-K3.1-Pro
+    name: "Kimi-K3.1-Pro model card"