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README.md
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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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- Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4
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tags:
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- Qwen
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- Qwen2.5-7B-Instruct
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- Qwen2.5-7B-Instruct-GPTQ-Int4
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- GPTQ
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- Int4
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---
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# Qwen2.5-3B-Instruct-GPTQ-Int4
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This version of Qwen2.5-7B-Instruct-GPTQ-Int4 has been converted to run on the Axera NPU using **w4a16** quantization.
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This model has been optimized with the following LoRA:
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Compatible with Pulsar2 version: 3.4(Not released yet)
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## Convert tools links:
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For those who are interested in model conversion, you can try to export axmodel through the original repo : https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4
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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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[AXera NPU LLM Runtime](https://github.com/AXERA-TECH/ax-llm)
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## Support Platform
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- AX650
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- AX650N DEMO Board
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- [M4N-Dock(η±θ―ζ΄ΎPro)](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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- *developing*
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|Chips|w8a16|w4a16|
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|--|--|--|
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|AX650| 2.6 tokens/sec|4.8 tokens/sec|
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## How to use
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Download all files from this repository to the device
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```
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root@ax650:/mnt/qtang/llm-test/qwen2.5-7b# tree -L 1
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.
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βββ qwen2.5-7b-gptq-int4-ax650
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βββ qwen2.5_tokenizer
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βββ qwen2.5_tokenizer.py
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βββ main_axcl_aarch64
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βββ main_axcl_x86
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βββ main_prefill
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βββ post_config.json
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βββ run_qwen2.5_7b_gptq_int4_ax650.sh
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βββ run_qwen2.5_7b_gptq_int4_axcl_aarch64.sh
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βββ run_qwen2.5_7b_gptq_int4_axcl_x86.sh
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```
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#### Start the Tokenizer service
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```
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root@ax650:/mnt/qtang/llm-test/qwen2.5-7b# python qwen2.5_tokenizer.py --port 12345
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None None 151645 <|im_end|>
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<|im_start|>system
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You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
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<|im_start|>user
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hello world<|im_end|>
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<|im_start|>assistant
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[151644, 8948, 198, 2610, 525, 1207, 16948, 11, 3465, 553, 54364, 14817, 13, 1446, 525, 264, 10950, 17847, 13, 151645, 198, 151644, 872, 198, 14990,
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http://10.126.33.167:12345
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```
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#### Inference with AX650 Host, such as M4N-Dock(η±θ―ζ΄ΎPro) or AX650N DEMO Board
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Open another terminal and run `run_qwen2.5_7b_gptq_int4_ax650.sh`
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```
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root@ax650:/mnt/qtang/llm-test/qwen2.5-7b# ./run_qwen2.5_7b_gptq_int4_ax650.sh
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[I][ Init][ 125]: LLM init start
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bos_id: -1, eos_id: 151645
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3% | ββ | 1 / 31 [0.00s<0.09s, 333.33 count/s] tokenizer init ok
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100% | ββββββββββββββββββββββββββββββββ | 31 / 31 [45.25s<45.25s, 0.69 count/s] init post axmodel ok,remain_cmm(7664 MB)[I][
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[I][ Init][ 246]: kv_cache_size : 512, kv_cache_num: 1024
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[I][ Init][ 254]: prefill_token_num : 128
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[I][ load_config][ 281]: load config:
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{
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"enable_repetition_penalty": false,
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"enable_temperature": true,
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"enable_top_k_sampling": true,
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"enable_top_p_sampling": false,
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"penalty_window": 20,
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"repetition_penalty": 1.2,
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"temperature": 0.9,
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"top_k": 10,
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"top_p": 0.8
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}
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[I][ Init][ 268]: LLM init ok
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Type "q" to exit, Ctrl+c to stop current running
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>> 1+1=?
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[I][ Run][ 466]: ttft: 1138.88 ms
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1+1 equals 2.
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[N][ Run][ 605]: hit eos,avg 4.65 token/s
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>> who are you
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[I][ Run][ 466]: ttft: 1137.90 ms
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I'm Qwen, a large language model created by Alibaba Cloud. How can I assist you today?
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[N][ Run][ 605]: hit eos,avg 4.52 token/s
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```
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#### Inference with M.2 Accelerator card
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[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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(base) axera@raspberrypi:~/samples/qwen2.5-7b $ ./run_qwen2.5_7b_gptq_int4_axcl_aarch64.sh
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build time: Feb 13 2025 15:15:07
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[I][ Init][ 111]: LLM init start
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bos_id: -1, eos_id: 151645
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100% | ββββββββββββββββββββββββββββββββ | 31 / 31 [67.43s<67.43s, 0.46 count/s] init post axmodel okremain_cmm(2739 MB)
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[I][ Init][ 226]: max_token_len : 1024
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[I][ Init][ 231]: kv_cache_size : 512, kv_cache_num: 1024
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[I][ load_config][ 282]: load config:
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{
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"enable_repetition_penalty": false,
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"enable_temperature": true,
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"enable_top_k_sampling": true,
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"enable_top_p_sampling": false,
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"penalty_window": 20,
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"repetition_penalty": 1.2,
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"temperature": 0.9,
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"top_k": 10,
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"top_p": 0.8
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}
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[I][ Init][ 288]: LLM init ok
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Type "q" to exit, Ctrl+c to stop current running
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>> who are you
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I am Qwen, a large language model created by Alibaba Cloud. I'm here to help you with any questions or tasks you might have!
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[N][ Run][ 610]: hit eos,avg 4.33 token/s
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>> 1+1=?
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1+1 equals 2.
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[N][ Run][ 610]: hit eos,avg 4.54 token/s
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>> q
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(base) axera@raspberrypi:~ $ axcl-smi
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+------------------------------------------------------------------------------------------------+
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| AXCL-SMI V2.26.0_20250206225448 Driver V2.26.0_20250206225448 |
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+-----------------------------------------+--------------+---------------------------------------+
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| Card Name Firmware | Bus-Id | Memory-Usage |
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| Fan Temp Pwr:Usage/Cap | CPU NPU | CMM-Usage |
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|=========================================+==============+=======================================|
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+-----------------------------------------+--------------+---------------------------------------+
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| 0 AX650N V2.26.0 | 0000:05:00.0 | 175 MiB / 945 MiB |
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| -- 61C -- / -- | 0% 0% | 4301 MiB / 7040 MiB |
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+-----------------------------------------+--------------+---------------------------------------+
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+------------------------------------------------------------------------------------------------+
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| Processes: |
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| Card PID Process Name NPU Memory Usage |
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|================================================================================================|
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| 0 63118 /home/axera/samples/qwen2.5-7b-gptq-int4/main_axcl_aarch64 4316448 KiB |
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+------------------------------------------------------------------------------------------------+
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```
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