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Android App to run Llama-v2-7B-Chat Quantized INT4 on my Android Device #62
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hi friend, qcom released a tutorial for deploy llama2 on 8gen3 in ai stack, it maybe helpful |
@AndreaChiChengdu I've tried to follow the tutorial but it turns out to need the “GenAI” feature in QNN. Do you have any clue on this? |
@swb1234554321 @taeyeonlee we are aware of this and are actively working on this with other groups within Qualcomm. We will update on this issue once we can release sample app. |
Hi,Can you shared this tutorial? I dont find it. Best regards. |
@bhushan23 Thanks for your great work, when can you release the sample app? we are all looking forward to it, especially how to run those downloaded files using QNN |
hi , i have a question. Can I run this 4 parts as a whole model using QNN? |
hi, can you share the tutorial link, thank u so much |
please refer to https://github.com/quic/ai-hub-models/tree/main/qai_hub_models/models/llama_v2_7b_chat_quantized/gen_ondevice_llama to run llama2 models on device with Genie. We will keep this issue open until Android / compute sample app with C++ APIs are released |
hi, @bhushan23 |
any update on this end? |
Hi All, we are actively working on this and will share via Slack once the sample app is released. Thanks! |
Thats amazing, could I join the slack channel? Thank you |
Yes! Please feel free to join, here is the invite link |
Hi,
Could you share the sample Android App to run Llama-v2-7B-Chat Quantized INT4 on my Android Device ?
your sample "python -m qai_hub_models.models.llama_v2_7b_chat_quantized.export"
generated the files below.
Llama2_PromptProcessor_1_Quantized.onnx
Llama2_PromptProcessor_1_Quantized.data
Llama2_PromptProcessor_1_Quantized.encodings
and job_jogk97en5_optimized_bin_m6qek5zyq.bin which is downloaded from AI Hub.
how to run these files on my Android Device ?
Anyone can help ?
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