[Upgradation]: onnx opset version updated from 13 to 17#587
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[Upgradation]: onnx opset version updated from 13 to 17#587
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Signed-off-by: Abukhoyer Shaik <abukhoye@qti.qualcomm.com>
abukhoy
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ochougul,
quic-amitraj,
quic-hemagnih and
quic-rishinr
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quic-rishinr
approved these changes
Oct 29, 2025
Signed-off-by: Abukhoyer Shaik <abukhoye@qti.qualcomm.com>
ochougul
approved these changes
Nov 13, 2025
abhishek-singh591
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this pull request
Nov 25, 2025
This pull request is created for updating the _onnx opset_ version to 17 from 13. Below are the models I have tested: - TinyLlama/TinyLlama-1.1B-Chat-v1.0 - gpt2 - Salesforce/codegen-350M-mono - microsoft/Phi-3-mini-4k-instruct - tiiuae/falcon-7b - Qwen/Qwen2-0.5B - Qwen/Qwen3-0.6B - bigcode/starcoder2-3b - Qwen/Qwen3-30B-A3B-Instruct-2507 - Felladrin/Minueza-32M-Base - wtang06/mpt-125m-c4 - hakurei/gpt-j-random-tinier - mistralai/Mixtral-8x7B-Instruct-v0.1 - meta-llama/Llama-3.2-1B - unsloth/gemma-2b - unsloth/gemma-2-2b - TheBloke/TinyLlama-1.1B-Chat-v0.3-AWQ - TheBloke/Llama-2-7B-GPTQ - ibm-granite/granite-20b-code-base - neuralmagic/Llama-3.2-3B-Instruct-FP8 - neuralmagic/Qwen2-0.5B-Instruct-FP8 - ibm-granite/granite-3.1-2b-instruct - ibm-granite/granite-guardian-3.1-2b - hpcai-tech/grok-1 - Snowflake/Llama-3.1-SwiftKV-8B-Instruct - allenai/OLMo-2-0425-1B - BAAI/bge-base-en-v1.5 - BAAI/bge-large-en-v1.5 - BAAI/bge-small-en-v1.5 - intfloat/e5-large-v2 - sentence-transformers/multi-qa-mpnet-base-cos-v1 - ibm-granite/granite-embedding-30m-english - ibm-granite/granite-embedding-125m-english - BAAI/bge-reranker-v2-m3 - ibm-granite/granite-embedding-107m-multilingual - ibm-granite/granite-embedding-278m-multilingual - llava-hf/llava-1.5-7b-hf - OpenGVLab/InternVL2_5-1B - meta-llama/Llama-3.2-11B-Vision-Instruct - ibm-granite/granite-vision-3.2-2b - meta-llama/Llama-4-Scout-17B-16E-Instruct - google/gemma-3-4b-it - openai/whisper-tiny - openai/whisper-base - openai/whisper-small - openai/whisper-medium - openai/whisper-large - openai/whisper-large-v3-turbo --------- Signed-off-by: Abukhoyer Shaik <abukhoye@qti.qualcomm.com> Signed-off-by: abhishek-singh591 <sabhis@qti.qualcomm.com>
quic-dhirajku
pushed a commit
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that referenced
this pull request
Jan 2, 2026
This pull request is created for updating the _onnx opset_ version to 17 from 13. ## Testing Below are the models I have tested: ### Causal Models - TinyLlama/TinyLlama-1.1B-Chat-v1.0 - gpt2 - Salesforce/codegen-350M-mono - microsoft/Phi-3-mini-4k-instruct - tiiuae/falcon-7b - Qwen/Qwen2-0.5B - Qwen/Qwen3-0.6B - bigcode/starcoder2-3b - Qwen/Qwen3-30B-A3B-Instruct-2507 - Felladrin/Minueza-32M-Base - wtang06/mpt-125m-c4 - hakurei/gpt-j-random-tinier - mistralai/Mixtral-8x7B-Instruct-v0.1 - meta-llama/Llama-3.2-1B - unsloth/gemma-2b - unsloth/gemma-2-2b - TheBloke/TinyLlama-1.1B-Chat-v0.3-AWQ - TheBloke/Llama-2-7B-GPTQ - ibm-granite/granite-20b-code-base - neuralmagic/Llama-3.2-3B-Instruct-FP8 - neuralmagic/Qwen2-0.5B-Instruct-FP8 - ibm-granite/granite-3.1-2b-instruct - ibm-granite/granite-guardian-3.1-2b - hpcai-tech/grok-1 - Snowflake/Llama-3.1-SwiftKV-8B-Instruct - allenai/OLMo-2-0425-1B ### Embedding Models - BAAI/bge-base-en-v1.5 - BAAI/bge-large-en-v1.5 - BAAI/bge-small-en-v1.5 - intfloat/e5-large-v2 - sentence-transformers/multi-qa-mpnet-base-cos-v1 - ibm-granite/granite-embedding-30m-english - ibm-granite/granite-embedding-125m-english - BAAI/bge-reranker-v2-m3 - ibm-granite/granite-embedding-107m-multilingual - ibm-granite/granite-embedding-278m-multilingual ### Vision Models - llava-hf/llava-1.5-7b-hf - OpenGVLab/InternVL2_5-1B - meta-llama/Llama-3.2-11B-Vision-Instruct - ibm-granite/granite-vision-3.2-2b - meta-llama/Llama-4-Scout-17B-16E-Instruct - google/gemma-3-4b-it ### Audio Models - openai/whisper-tiny - openai/whisper-base - openai/whisper-small - openai/whisper-medium - openai/whisper-large - openai/whisper-large-v3-turbo --------- Signed-off-by: Abukhoyer Shaik <abukhoye@qti.qualcomm.com> Signed-off-by: Dhiraj Kumar Sah <dhirajku@qti.qualcomm.com>
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This pull request is created for updating the onnx opset version to 17 from 13.
Testing
Below are the models I have tested:
Causal Models
Embedding Models
Vision Models
Audio Models