Instructions to use Intelligent-Internet/II-Search-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Intelligent-Internet/II-Search-4B with Transformers:

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

pipe = pipeline("text-generation", model="Intelligent-Internet/II-Search-4B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Intelligent-Internet/II-Search-4B")
model = AutoModelForCausalLM.from_pretrained("Intelligent-Internet/II-Search-4B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Intelligent-Internet/II-Search-4B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Intelligent-Internet/II-Search-4B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Intelligent-Internet/II-Search-4B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Intelligent-Internet/II-Search-4B

SGLang

How to use Intelligent-Internet/II-Search-4B 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 "Intelligent-Internet/II-Search-4B" \
    --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": "Intelligent-Internet/II-Search-4B",
		"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 "Intelligent-Internet/II-Search-4B" \
        --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": "Intelligent-Internet/II-Search-4B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Intelligent-Internet/II-Search-4B with Docker Model Runner:
```
docker model run hf.co/Intelligent-Internet/II-Search-4B
```

II-Search-4B / chat_template.jinja

hoanganhpham

Upload folder using huggingface_hub

ef2c1d6 verified 10 months ago

raw

history blame contribute delete

3.61 kB

{%- if tools %}{{- '<|im_start|>system\n' }}{%- if messages[0].role == 'system' %}{{- messages[0].content + '\n\n' }}{%- endif %}{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}{%- for tool in tools %}{{- "\n" }}{{- tool | tojson }}{%- endfor %}{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}{%- else %}{%- if messages[0].role == 'system' %}{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}{%- endif %}{%- endif %}{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}{%- for message in messages[::-1] %}{%- set index = (messages|length - 1) - loop.index0 %}{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}{%- set ns.multi_step_tool = false %}{%- set ns.last_query_index = index %}{%- endif %}{%- endfor %}{%- for message in messages %}{%- if message.content is string %}{%- set content = message.content %}{%- else %}{%- set content = '' %}{%- endif %}{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}{%- elif message.role == "assistant" %}{%- set reasoning_content = '' %}{%- if message.reasoning_content is string %}{%- set reasoning_content = message.reasoning_content %}{%- else %}{%- if '</think>' in content %}{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}{%- set content = content.split('</think>')[-1].lstrip('\n') %}{%- endif %}{%- endif %}{%- if loop.index0 > ns.last_query_index %}{%- if loop.last or (not loop.last and reasoning_content) %}{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}{%- else %}{{- '<|im_start|>' + message.role + '\n' + content }}{%- endif %}{%- else %}{{- '<|im_start|>' + message.role + '\n' + content }}{%- endif %}{%- if message.tool_calls %}{%- for tool_call in message.tool_calls %}{%- if (loop.first and content) or (not loop.first) %}{{- '\n' }}{%- endif %}{%- if tool_call.function %}{%- set tool_call = tool_call.function %}{%- endif %}{{- '<tool_call>\n{"name": "' }}{{- tool_call.name }}{{- '", "arguments": ' }}{%- if tool_call.arguments is string %}{{- tool_call.arguments }}{%- else %}{{- tool_call.arguments | tojson }}{%- endif %}{{- '}\n</tool_call>' }}{%- endfor %}{%- endif %}{{- '<|im_end|>\n' }}{%- elif message.role == "tool" %}{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}{{- '<|im_start|>user' }}{%- endif %}{{- '\n<tool_response>\n' }}{%- set tool_output = content %}{%- set prefix = '[{"type":"text","text":"' %}{%- set suffix = '"}]' %}{%- if content is string and content.startswith(prefix) and content.endswith(suffix) %}{%- set tool_output = content | replace(prefix, '') | replace(suffix, '') %}{%- endif %}{{- tool_output }}{{- '\n</tool_response>' }}{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}{{- '<|im_end|>\n' }}{%- endif %}{%- endif %}{%- endfor %}{%- if add_generation_prompt %}{{- '<|im_start|>assistant\n' }}{%- if enable_thinking is defined and enable_thinking is false %}{{- '<think>\n\n</think>\n\n' }}{%- endif %}{%- endif %}