SearchQwen3-8B
is a compact Search Agent model from the Alibaba Cloud PAI team. It is trained with environment-aligned, solver-verified search trajectories generated by
EasyDistill 2.0
, and is designed for multi-hop search, browsing, and evidence integration.
LLM-judge accuracy (%). Multi-hop QA averages 2WikiMultiHopQA, Bamboogle, HotpotQA, and MuSiQue; Deep Search averages GAIA, WebWalkerQA, xbench-deepsearch, and BrowseComp-ZH.
Interaction
Model
Deep Search
Overall
Tool-Call
Qwen3-8B
24.50
40.31
Tool-Call
SearchQwen3-8B
35.42
50.31
Quickstart
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "alibaba-pai/SearchQwen3-8B"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.bfloat16,
device_map="auto",
).eval()
messages = [
{"role": "system", "content": "You are a search agent. Use tools before answering."},
{"role": "user", "content": "Which city is the birthplace of the author of The Old Man and the Sea?"},
]
tools = [
{
"type": "function",
"function": {
"name": "search",
"description": "Search the web.",
"parameters": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
},
}
]
inputs = tokenizer.apply_chat_template(
messages,
tools=tools,
add_generation_prompt=True,
tokenize=True,
return_tensors="pt",
return_dict=True,
enable_thinking=False,
).to(model.device)
output = model.generate(**inputs, max_new_tokens=256, do_sample=False)
print(tokenizer.decode(output[0, inputs["input_ids"].shape[-1]:], skip_special_tokens=False))
The model returns a structured
<tool_call>
; execute the tool, append its response, and continue until a final answer is produced. An external search/browse backend is required.
SearchQwen3-8B huggingface.co is an AI model on huggingface.co that provides SearchQwen3-8B's model effect (), which can be used instantly with this alibaba-pai SearchQwen3-8B model. huggingface.co supports a free trial of the SearchQwen3-8B model, and also provides paid use of the SearchQwen3-8B. Support call SearchQwen3-8B model through api, including Node.js, Python, http.
SearchQwen3-8B huggingface.co is an online trial and call api platform, which integrates SearchQwen3-8B's modeling effects, including api services, and provides a free online trial of SearchQwen3-8B, you can try SearchQwen3-8B online for free by clicking the link below.
alibaba-pai SearchQwen3-8B online free url in huggingface.co:
SearchQwen3-8B is an open source model from GitHub that offers a free installation service, and any user can find SearchQwen3-8B on GitHub to install. At the same time, huggingface.co provides the effect of SearchQwen3-8B install, users can directly use SearchQwen3-8B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.