aha 0.2.5

aha model inference library, now supports Qwen(2.5VL/3/3VL/3.5/ASR/3Embedding/3Reranker), MiniCPM4, VoxCPM/1.5, DeepSeek-OCR/2, Hunyuan-OCR, PaddleOCR-VL/1.5, RMBG2.0, GLM(ASR-Nano-2512/OCR), Fun-ASR-Nano-2512, LFM(2/2.5/2VL/2.5VL)
Documentation 
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use std::time::Instant;

use aha::models::{GenerateModel, qwen3vl::generate::Qwen3VLGenerateModel};
use aha::params::chat::ChatCompletionParameters;
use anyhow::Result;

#[test]
fn gelab_zero_generate() -> Result<()> {
    // test with cuda: RUST_BACKTRACE=1 cargo test -F cuda gelab_zero_generate -r -- --nocapture

    let save_dir =
        aha::utils::get_default_save_dir().ok_or(anyhow::anyhow!("Failed to get save dir"))?;
    let model_path = format!("{}/stepfun-ai/GELab-Zero-4B-preview", save_dir);

    let message = r#"
    {
        "model": "gelab-zero",
        "messages": [
            {
                "role": "user",
                "content": [    
                    {
                        "type": "text", 
                        "text": "Hello, GELab-Zero!, 现在几点了"
                    }
                ]
            }
        ],
        "tools": [
            {
                "type": "function",
                "function": {
                    "name": "get_current_time",
                    "description": "当你想知道现在的时间时非常有用。",
                    "parameters": {}
                }
            },
            {
                "type": "function",
                "function": {
                    "name": "get_current_weather",
                    "description": "当你想查询指定城市的天气时非常有用。",
                    "parameters": {
                        "type": "object",
                        "properties": {
                            "location": {
                                "type": "string",
                                "description": "城市或县区，比如北京市、杭州市、余杭区等。"
                            }
                        },
                        "required": ["location"]
                    }
                }
            }
        ],
        "tool_choice": null
    }
    "#;
    let mes: ChatCompletionParameters = serde_json::from_str(message)?;
    let i_start = Instant::now();
    let mut qwen3vl = Qwen3VLGenerateModel::init(&model_path, None, None)?;
    let i_duration = i_start.elapsed();
    println!("Time elapsed in load model is: {:?}", i_duration);

    let res = qwen3vl.generate(mes)?;
    println!("generate: \n {:?}", res);
    if let Some(usage) = &res.usage {
        println!("usage: \n {:?}", usage);
    }
    Ok(())
}