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InternVL2_5-1B-MPO

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Transformers
internvl_chat
feature-extraction
InternVL2_5
InternVL2_5-1B
InternVL2_5-1B-MPO
Int8
VLM
custom_code
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  1. .gitattributes +2 -0
  2. README.md +128 -3
  3. config.json +137 -0
  4. image1.jpg +0 -0
  5. internvl2_5_1b_364_ax630c/model.embed_tokens.weight.bfloat16.bin +3 -0
  6. internvl2_5_1b_364_ax630c/qwen2_p256_l0_together.axmodel +3 -0
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  15. internvl2_5_1b_364_ax630c/qwen2_p256_l18_together.axmodel +3 -0
  16. internvl2_5_1b_364_ax630c/qwen2_p256_l19_together.axmodel +3 -0
  17. internvl2_5_1b_364_ax630c/qwen2_p256_l1_together.axmodel +3 -0
  18. internvl2_5_1b_364_ax630c/qwen2_p256_l20_together.axmodel +3 -0
  19. internvl2_5_1b_364_ax630c/qwen2_p256_l21_together.axmodel +3 -0
  20. internvl2_5_1b_364_ax630c/qwen2_p256_l22_together.axmodel +3 -0
  21. internvl2_5_1b_364_ax630c/qwen2_p256_l23_together.axmodel +3 -0
  22. internvl2_5_1b_364_ax630c/qwen2_p256_l2_together.axmodel +3 -0
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  28. internvl2_5_1b_364_ax630c/qwen2_p256_l8_together.axmodel +3 -0
  29. internvl2_5_1b_364_ax630c/qwen2_p256_l9_together.axmodel +3 -0
  30. internvl2_5_1b_364_ax630c/qwen2_post.axmodel +3 -0
  31. internvl2_5_1b_364_ax630c/vit_intern_sim_space2depth.axmodel +3 -0
  32. internvl2_5_1b_448_ax650/internvl2_5_1b_mpo_vit.axmodel +3 -0
  33. internvl2_5_1b_448_ax650/model.embed_tokens.weight.bfloat16.bin +3 -0
  34. internvl2_5_1b_448_ax650/model.embed_tokens.weight.npy +3 -0
  35. internvl2_5_1b_448_ax650/qwen2_p128_l0_together.axmodel +3 -0
  36. internvl2_5_1b_448_ax650/qwen2_p128_l10_together.axmodel +3 -0
  37. internvl2_5_1b_448_ax650/qwen2_p128_l11_together.axmodel +3 -0
  38. internvl2_5_1b_448_ax650/qwen2_p128_l12_together.axmodel +3 -0
  39. internvl2_5_1b_448_ax650/qwen2_p128_l13_together.axmodel +3 -0
  40. internvl2_5_1b_448_ax650/qwen2_p128_l14_together.axmodel +3 -0
  41. internvl2_5_1b_448_ax650/qwen2_p128_l15_together.axmodel +3 -0
  42. internvl2_5_1b_448_ax650/qwen2_p128_l16_together.axmodel +3 -0
  43. internvl2_5_1b_448_ax650/qwen2_p128_l17_together.axmodel +3 -0
  44. internvl2_5_1b_448_ax650/qwen2_p128_l18_together.axmodel +3 -0
  45. internvl2_5_1b_448_ax650/qwen2_p128_l19_together.axmodel +3 -0
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  48. internvl2_5_1b_448_ax650/qwen2_p128_l21_together.axmodel +3 -0
  49. internvl2_5_1b_448_ax650/qwen2_p128_l22_together.axmodel +3 -0
  50. internvl2_5_1b_448_ax650/qwen2_p128_l23_together.axmodel +3 -0
.gitattributes CHANGED
@@ -34,3 +34,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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  *.axmodel filter=lfs diff=lfs merge=lfs -text
 
 
 
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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  *.axmodel filter=lfs diff=lfs merge=lfs -text
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+ main filter=lfs diff=lfs merge=lfs -text
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+ main_ax650 filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,3 +1,128 @@
1
- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ library_name: transformers
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+ license: bsd-3-clause
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+ base_model:
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+ - OpenGVLab/InternVL2_5-1B
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+ tags:
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+ - InternVL2_5
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+ - InternVL2_5-1B
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+ - Int8
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+ - VLM
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+ ---
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+
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+ # InternVL2_5-1B-Int8
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+
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+ This version of InternVL2_5-1B has been converted to run on the Axera NPU using **w8a16** quantization.
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+
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+ This model has been optimized with the following LoRA:
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+
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+ Compatible with Pulsar2 version: 3.3
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+
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+ ## Convert tools links:
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+
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+ For those who are interested in model conversion, you can try to export axmodel through the original repo :
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+ https://huggingface.co/OpenGVLab/InternVL2_5-1B-MPO
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+
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+ [Pulsar2 Link, How to Convert LLM from Huggingface to axmodel](https://pulsar2-docs.readthedocs.io/en/latest/appendix/build_llm.html)
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+
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+ [AXera NPU HOST LLM Runtime](https://github.com/AXERA-TECH/ax-llm/tree/internvl2)
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+
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+ [AXera NPU AXCL LLM Runtime](https://github.com/AXERA-TECH/ax-llm/tree/axcl-llm-internvl)
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+
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+ ## Support Platform
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+
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+ - AX650
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+ - AX650N DEMO Board
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+ - [M4N-Dock(爱芯派Pro)](https://wiki.sipeed.com/hardware/zh/maixIV/m4ndock/m4ndock.html)
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+ - [M.2 Accelerator card](https://axcl-docs.readthedocs.io/zh-cn/latest/doc_guide_hardware.html)
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+
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+ |Chips|image encoder 448|ttft|w8a16|
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+ |--|--|--|--|
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+ |AX650| 350 ms | 420 ms |32 tokens/sec|
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+
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+ - AX630C
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+ - AX630C DEMO Board
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+ - [M4N-Dock(爱芯派Pro)](https://wiki.sipeed.com/hardware/zh/maixIV/m4ndock/m4ndock.html)
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+ - [M.2 Accelerator card](https://axcl-docs.readthedocs.io/zh-cn/latest/doc_guide_hardware.html)
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+ - AX630C
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+
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+ |Chips|image encoder 364|ttft|w8a16|
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+ |--|--|--|--|
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+ |AX630C| 1769 ms | 1123 ms |2.4 tokens/sec|
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+
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+ ## How to use
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+
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+ Download all files from this repository to the device
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+
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+ ```
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+ root@ax630c:InternVL2_5-1B-MPO-AX630C# tree -L 1
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+ .
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+ |-- config.json
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+ |-- internvl2_5_1b_364_ax630c
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+ |-- internvl2_5_tokenizer
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+ |-- internvl2_5_tokenizer_364.py
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+ |-- main
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+ |-- run_internvl2_5_364_ax630c.sh
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+ `-- image1.jpg
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+ ```
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+
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+ #### Install transformer
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+
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+ ```
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+ pip install transformers==4.41.1
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+ ```
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+
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+ #### Start the Tokenizer service
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+
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+ ```
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+ (vllm) lihongjie@gn4:InternVL2_5-1B-MPO-AX630C$ python internvl2_5_tokenizer_364.py --host localhost
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+ None None 151645 <|im_end|>
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+ [151644, 8948, 198, 56568, 104625, 100633, 104455, 104800, 101101, 32022, 102022, 99602, 100013, 9370, 90286, 21287, 42140, 53772, 35243, 26288, 104949, 3837, 105205, 109641, 67916, 30698, 11, 54851, 46944, 115404, 42192, 99441, 100623, 48692, 100168, 110498, 1773, 151645, 151644, 872, 198, 151665, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151667, 151666, 198, 5501, 7512, 279, 2168, 19620, 13, 151645, 151644, 77091, 198]
81
+ 223
82
+ [151644, 8948, 198, 56568, 104625, 100633, 104455, 104800, 101101, 32022, 102022, 99602, 100013, 9370, 90286, 21287, 42140, 53772, 35243, 26288, 104949, 3837, 105205, 109641, 67916, 30698, 11, 54851, 46944, 115404, 42192, 99441, 100623, 48692, 100168, 110498, 1773, 151645, 151644, 872, 198, 14990, 1879, 151645, 151644, 77091, 198]
83
+ 47
84
+ http://localhost:8080
85
+ ```
86
+
87
+ #### Inference with AX630C Host, such as M4N-Dock(爱芯派Pro) or AX630C DEMO Board
88
+
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+ - input text
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+
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+ ```
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+ Describe the picture
93
+ ```
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+
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+ - input image
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+
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+ ![](./ssd_car.jpg)
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+
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+ Open another terminal and run `./run_internvl2_5_364_ax630c.sh`
100
+
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+ ```
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+ root@ax630c:InternVL2_5-1B-MPO-AX630C# bash run_internvl2_5_364_ax630c.sh
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+ [I][ Init][ 106]: LLM init start
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+ bos_id: -1, eos_id: 151645
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+ 3% | ██ | 1 / 28 [0.17s<4.90s, 5.71 count/s] tokenizer init ok[I][ Init][ 26]: LLaMaEmbedSelector use mmap
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+ 100% | ████████████████████████████████ | 28 / 28 [5.41s<5.41s, 5.17 count/s] init vpm axmodel ok,remain_cmm(907 MB)MB)
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+ [I][ Init][ 254]: max_token_len : 1023
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+ [I][ Init][ 259]: kv_cache_size : 128, kv_cache_num: 1023
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+ [I][ Init][ 267]: prefill_token_num : 256
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+ [I][ Init][ 269]: vpm_height : 364,vpm_width : 364
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+ [I][ Init][ 278]: LLM init ok
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+ Type "q" to exit, Ctrl+c to stop current running
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+ prompt >> Please describe the image shortly.
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+ image >> image1.jpg
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+ [I][ Encode][ 337]: image encode time : 1768.706055 ms, size : 151424
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+ [I][ Run][ 548]: ttft: 1123.02 ms
117
+ The image shows a red panda resting on a wooden platform. It has a reddish-brown fur coat with white markings around its eyes and ears. The background features green foliage.
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+
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+ [N][ Run][ 687]: hit eos,avg 2.42 token/s
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+
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+ prompt >>
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+ ```
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+
124
+ #### Inference with M.2 Accelerator card
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+
126
+ [What is M.2 Accelerator card?](https://axcl-docs.readthedocs.io/zh-cn/latest/doc_guide_hardware.html), Show this DEMO based on Raspberry PI 5.
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+
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+ *TODO*
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+ }
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+ }
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