MiniCPM-1B-sft
This document describes how to perform NPU hardware-accelerated inference of the MiniCPM-1B-sft model on Qualcomm platforms using Qualcomm® Genie.
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Source model: openbmb/MiniCPM-1B-sft-bf16
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Source model license: OpenBMB-General-Model-License
Model Details
| Model | Quantization | Context Length |
|---|---|---|
| MiniCPM-1B-sft | W4A16 | 1024 |
Supported Devices
tip
Refer to the SoC Architecture Reference to find the DSP architecture of your device's SoC.
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This example supports Qualcomm platform SoCs with v73 DSP architecture.
dsp_arch v73 -
Supported devices
Device SoC dsp_arch Fogwise® AIRbox Q900 QCS9075 v73
Download qcom-qairt Dependencies
- QCS6490
- QCS9075
Device
sudo apt install qcom-qnn-sdk-v68 qcom-genie-sdk-v68
Device
sudo apt install qcom-qnn-sdk-v73 qcom-genie-sdk-v73
Import Environment Variables
Device
export ADSP_LIBRARY_PATH=/usr/lib/aarch64-linux-gnu
Download Model
tip
Please install the modelscope Python package in a Python virtual environment. For virtual environment usage, refer to Python Virtual Environment Usage
Device
pip3 install modelscope
modelscope download --model radxa/MiniCPM-1B-sft-w4a16-1024-v73 --local_dir ./MiniCPM-1B-sft-w4a16-1024-v73
Run Inference
Device
cd MiniCPM-1B-sft-w4a16-1024-v73
Build Prompt
Prompts can be passed as a file or as a parameter.
- prompt
- prompt_file
<s><user>What is the most popular cookie in the world?</user><assistant>
Device
vim chat.txt
<s><user>What is the most popular cookie in the world?</user><assistant>
Run Inference
- prompt
- prompt_file
Device
genie-t2t-run -c minicpm-1b-htp-228.json -p '<s><user>What is the most popular cookie in the world?</user><assistant>'
Device
genie-t2t-run -c minicpm-1b-htp-228.json --prompt_file chat.txt
(.venv) rock@radxa-airbox-q900:/mnt/ssd/qualcomm/MiniCPM-1B-sft$ genie-t2t-run -c minicpm-1b-htp-228.json -p '<s><user>What is the most popular cookie in the world?</user><assistant>'
Using libGenie.so version 1.14.0
/prj/qct/webtech_scratch20/mlg_user_admin/qaisw_source_repo/rel/qairt-2.42.0/release/snpe_src/avante-tools/prebuilt/dsp/hexagon-sdk-5.5.5/ipc/fastrpc/rpcmem/src/rpcmem_android.c:38:dummy call to rpcmem_init, rpcmem APIs will be used from libxdsprpc
[INFO] "Using create From Binary"
[INFO] "Allocated total size = 207163392 across 1 buffers"
[PROMPT]: <s><user>What is the most popular cookie in the world?</user><assistant>
[BEGIN]: Themostpopularcookieintheworldislikelytobechocolatechipcookies,whichoriginatedintheUnitedStatesinthe1950s.[END]
/prj/qct/webtech_scratch20/mlg_user_admin/qaisw_source_repo/rel/qairt-2.42.0/release/snpe_src/avante-tools/prebuilt/dsp/hexagon-sdk-5.5.5/ipc/fastrpc/rpcmem/src/rpcmem_android.c:42:dummy call to rpcmem_deinit, rpcmem APIs will be used from libxdsprpc
Performance Reference
You can enable performance profiling with the --profile option.
genie-t2t-run -c minicpm-1b-htp-228.json --prompt_file chat.txt --profile profile.txt
| Fogwise® AIRbox Q900 | |
|---|---|
| GenieDialog_create | 977,912 us |
| num-prompt-tokens | 17 |
| prompt-processing-rate | 47.047752380371094 toks/sec |
| time-to-first-token | 361,345 us |
| num-generated-tokens | 14 |
| token-generation-rate | 41.98681640625 toks/sec |
| token-generation-time | 333,439 us |
| GenieDialog_free | 90,825 us |
Metric Definitions
| Metric | Definition |
|---|---|
| GenieDialog_create | Time to initialize a dialog object, including model loading, context preparation, and memory allocation. |
| num-prompt-tokens | Number of tokens in the prompt sent to the model (i.e., the smallest unit the input text is split into). |
| prompt-processing-rate | Speed at which the model processes the prompt, in tokens per second (toks/sec), reflecting the efficiency of prompt analysis and output preparation. |
| time-to-first-token | Time elapsed from the start of processing to the generation of the first output token, reflecting the model's response latency. |
| num-generated-tokens | Number of tokens actually output by the model in this generation, representing the length of the generated text in tokens. |
| token-generation-rate | Speed at which the model generates tokens, in tokens per second (toks/sec), reflecting generation efficiency. |
| token-generation-time | Total time spent generating all output tokens, in microseconds (us). |
| GenieDialog_free | Time to free the dialog object, including memory release and resource cleanup. |
Official Genie Documentation
For more details on Qualcomm® Genie usage and API, refer to: