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

Libraries

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

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

pipe = pipeline("text-generation", model="inclusionAI/Ring-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/Ring-2.6-1T", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

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

Use Docker

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

SGLang

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

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

LiangJiang commited on 6 days ago

Commit

6135326

verified ·

1 Parent(s): c9dbd8c

Update chat_template.jinja

Browse files

Files changed (1) hide show

chat_template.jinja +6 -3

chat_template.jinja CHANGED Viewed

@@ -50,7 +50,11 @@
             {%- endif %}
         {%- endif %}
         {%- if loop.index0 > ns.last_query_index %}
-            {{- '<role>ASSISTANT</role>\n' + '<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
         {%- else %}
             {{- '<role>ASSISTANT</role>\n' + content }}
         {%- endif %}
@@ -91,6 +95,5 @@
     {%- endif %}
 {%- endfor %}
 {%- if add_generation_prompt %}
-    {{- '<role>ASSISTANT</role>\n' }}
 {%- endif %}

             {%- endif %}
         {%- endif %}
         {%- if loop.index0 > ns.last_query_index %}
+            {%- if reasoning_content != '' %}
+                {{- '<role>ASSISTANT</role>\n' + '<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<role>ASSISTANT</role>\n' + content }}
+            {%- endif %}
         {%- else %}
             {{- '<role>ASSISTANT</role>\n' + content }}
         {%- endif %}
     {%- endif %}
 {%- endfor %}
 {%- if add_generation_prompt %}
+    {{- '<role>ASSISTANT</role>' }}
 {%- endif %}