Instructions to use inclusionAI/Ring-lite-distill-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use inclusionAI/Ring-lite-distill-preview with Transformers:

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

pipe = pipeline("text-generation", model="inclusionAI/Ring-lite-distill-preview", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("inclusionAI/Ring-lite-distill-preview", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use inclusionAI/Ring-lite-distill-preview with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "inclusionAI/Ring-lite-distill-preview"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "inclusionAI/Ring-lite-distill-preview",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/inclusionAI/Ring-lite-distill-preview

SGLang

How to use inclusionAI/Ring-lite-distill-preview 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 "inclusionAI/Ring-lite-distill-preview" \
    --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": "inclusionAI/Ring-lite-distill-preview",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "inclusionAI/Ring-lite-distill-preview" \
        --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": "inclusionAI/Ring-lite-distill-preview",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use inclusionAI/Ring-lite-distill-preview with Docker Model Runner:
```
docker model run hf.co/inclusionAI/Ring-lite-distill-preview
```

LiangJiang commited on Apr 1, 2025

Commit

9b25d2b

verified ·

1 Parent(s): 5c102df

Update README.md

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@@ -40,9 +40,9 @@ In order to fully evaluate the model's performance, we examined Ring-lite-distil
 |     **Model**      | **AIME24** | **MATH-500** | **GPQA-diamond** | **LiveCodeBench** |
 | :----------------: | :---------------: | :-------------------: | :----------------: | :----------: |
-| DeepSeek-R1-Distill-Qwen-7B (reported) |       55.5       |         92.8         |        49.1           | 37.6 |
-| DeepSeek-R1-Distill-Qwen-7B (reproduce)  |       53.2       |         93.7         |        50.4         | 36.5 |
-| Ring-lite-distill |       54.2       |         93.0         |        47.5        | 32.3 | 56.7 |
 </div>
@@ -50,10 +50,11 @@ In order to fully evaluate the model's performance, we examined Ring-lite-distil
 <div align="center">
-|     **Model**      | **IFEval** | **Teval_zh** | **Teval_en** | **BFCL_v2** | **MMLU** |
-| :----------------: | :---------------: | :-------------------: | :----------------: | :----------: | :----------: |
-| DeepSeek-R1-Distill-Qwen-7B (reproduce)  |       32.3       |         36.8         |        26.9         | 38.9 | 44.1 |
-| Ring-lite-distill |      74.5 | 78.3 | 81.4 | 63.2 | 63.1 | 85.97 | 80.00 | 58.7 | 69.4 |
 </div>
 More details will be reported in our technical report [TBD]

 |     **Model**      | **AIME24** | **MATH-500** | **GPQA-diamond** | **LiveCodeBench** |
 | :----------------: | :---------------: | :-------------------: | :----------------: | :----------: |
+| DeepSeek-R1-Distill-Qwen-7B (reported) |       55.5       |         92.8         |        49.1           |          37.6       |
+| DeepSeek-R1-Distill-Qwen-7B (reproduce)  |       53.2       |         93.7         |        50.4         |         36.5       |
+| Ring-lite-distill |       56.3       |         93.7         |        46.2        |        31.9       |
 </div>
 <div align="center">
+|     **Model**      | **IFEval**  | **T-eval** | **BFCL_v2** | **MMLU** |
+| :----------------: | :---------------: | :-------------------: | :----------------: | :----------: |
+| DeepSeek-R1-Distill-Qwen-7B (reproduce)  |       32.3       |         36.8          | 38.9 | 44.1 |
+| Ling-lite | 78.0 | 85.6 | 67.9 | 71.3 |
+| Ring-lite-distill |      75.3 | 78.3 | 63.0 | 63.3 |
 </div>
 More details will be reported in our technical report [TBD]