【Mac上运行llm_demo报错：./llm_demo model/qwen-1.8b-int4

[luocf]

model name : Qwen_1.8b

hw.cpufamily: 458787763 , size = 4
The device support i8sdot:1, support fp16:1, support i8mm: 0
load tokenizer
load tokenizer Done
[ 10% ] load model/qwen-1.8b-int4/lm.mnn model ... Done!
[ 13% ] load model/qwen-1.8b-int4/embedding.mnn model ... Done!
[ 20% ] load model/qwen-1.8b-int4/block_0.mnn model ... Done!
[ 24% ] load model/qwen-1.8b-int4/block_1.mnn model ... Done!
[ 27% ] load model/qwen-1.8b-int4/block_2.mnn model ... Done!
[ 31% ] load model/qwen-1.8b-int4/block_3.mnn model ... Done!
[ 34% ] load model/qwen-1.8b-int4/block_4.mnn model ... Done!
[ 38% ] load model/qwen-1.8b-int4/block_5.mnn model ... Done!
[ 41% ] load model/qwen-1.8b-int4/block_6.mnn model ... Done!
[ 45% ] load model/qwen-1.8b-int4/block_7.mnn model ... Done!
[ 48% ] load model/qwen-1.8b-int4/block_8.mnn model ... Done!
[ 52% ] load model/qwen-1.8b-int4/block_9.mnn model ... Done!
[ 55% ] load model/qwen-1.8b-int4/block_10.mnn model ... Done!
[ 58% ] load model/qwen-1.8b-int4/block_11.mnn model ... Done!
[ 62% ] load model/qwen-1.8b-int4/block_12.mnn model ... Done!
[ 65% ] load model/qwen-1.8b-int4/block_13.mnn model ... Done!
[ 69% ] load model/qwen-1.8b-int4/block_14.mnn model ... Done!
[ 72% ] load model/qwen-1.8b-int4/block_15.mnn model ... Done!
[ 76% ] load model/qwen-1.8b-int4/block_16.mnn model ... Done!
[ 79% ] load model/qwen-1.8b-int4/block_17.mnn model ... Done!
[ 83% ] load model/qwen-1.8b-int4/block_18.mnn model ... Done!
[ 86% ] load model/qwen-1.8b-int4/block_19.mnn model ... Done!
[ 90% ] load model/qwen-1.8b-int4/block_20.mnn model ... Done!
[ 93% ] load model/qwen-1.8b-int4/block_21.mnn model ... Done!
[ 97% ] load model/qwen-1.8b-int4/block_22.mnn model ... Done!
[100% ] load model/qwen-1.8b-int4/block_23.mnn model ... Done!

Q: 你好！

A: Reshape error: 28160 -> 26624
Compute Shape Error for onnx::Cast_30
code=3 in onForward, 372
Segmentation fault: 11

[jxt1234]

1. 现在建议用完整模型，即合并为同一模型的用法
2. mnn 版本是什么？

[luocf]

模型用的是这个：qwen-1.8b-int4
mnn版本用是github上最新版本：
commit 976d1d7 (HEAD -> master, origin/master, origin/HEAD)
Merge: 2d926e4 ed68e16
Author: jxt1234 jxt1234@zju.edu.cn
Date: Mon Apr 8 16:17:33 2024 +0800

Merge pull request #2812 from juju812/patch-2

[bugfix] add return value to lambda of std::async

[luocf]

》〉现在建议用完整模型，即合并为同一模型的用法
请问，如何合并为一个模型？