Instructions to use inclusionAI/Ling-2.6-1T with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use inclusionAI/Ling-2.6-1T with Transformers:

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

pipe = pipeline("text-generation", model="inclusionAI/Ling-2.6-1T", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("inclusionAI/Ling-2.6-1T", trust_remote_code=True, dtype="auto")

Inference
HuggingChat
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use inclusionAI/Ling-2.6-1T with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "inclusionAI/Ling-2.6-1T"
# 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/Ling-2.6-1T",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/inclusionAI/Ling-2.6-1T

SGLang

How to use inclusionAI/Ling-2.6-1T 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/Ling-2.6-1T" \
    --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/Ling-2.6-1T",
		"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/Ling-2.6-1T" \
        --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/Ling-2.6-1T",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use inclusionAI/Ling-2.6-1T with Docker Model Runner:
```
docker model run hf.co/inclusionAI/Ling-2.6-1T
```

RichardBian commited on 7 days ago

Commit

7be863f

verified ·

1 Parent(s): 80b2d4e

Update readme by removing the download section and add zenmux api

Browse files

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README.md +1 -16

README.md CHANGED Viewed

@@ -49,33 +49,18 @@ Ling-2.6-1T demonstrates balanced excellence across reasoning, coding, and tool-
 </p>
-## Model Downloads
-You can download Ling-2.6-1T from the following table. If you are located in mainland China, we also provide the model on ModelScope.cn to speed up the download process.
-<center>
-|  **Model**  | **Context Length** |                                                                     **Download**                                                                      |
-| :---------: | :----------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------: |
-| Ling-2.6-1T | 256K -> 1M (YaRN) | [🤗 HuggingFace]() &nbsp;&nbsp; [🤖 ModelScope]() |
-</center>
 Note: If you are interested in the previous version, please visit the past model collections on [Huggingface](https://huggingface.co/inclusionAI) or [ModelScope](https://modelscope.cn/organization/inclusionAI).
 ## Quickstart
-### 🚀 Try Online
-Coming Soon
 ### 🔌 API Usage
 https://openrouter.ai/inclusionai/ling-2.6-1t:free
 ## Deployment
 ### SGLang
 #### Environment Preparation

 </p>
 Note: If you are interested in the previous version, please visit the past model collections on [Huggingface](https://huggingface.co/inclusionAI) or [ModelScope](https://modelscope.cn/organization/inclusionAI).
 ## Quickstart
 ### 🔌 API Usage
 https://openrouter.ai/inclusionai/ling-2.6-1t:free
+https://zenmux.ai/inclusionai/ling-2.6-1t
 ## Deployment
 ### SGLang
 #### Environment Preparation