qwen3_06B_lora_math
Qwen0.6B trained on the MetaMathQA dataset using Unsloth. Used to test ExecuTorch LoRA capabilities. These are Qwen3 0.6B models, lowered to XNNPACK, quantized with torchao 8da4w and embedding quantization following the export script in: https://github.com/meta-pytorch/executorch-examples/blob/main/program-data-separation/export_lora.sh See the corresponding README in: https://github.com/meta-pytorch/executorch-examples/tree/main/program-data-separation/cpp/lora_example
Qwen0.6B trained on the MetaMathQA dataset using Unsloth. Used to test ExecuTorch LoRA capabilities. These are Qwen3 0.6B models, lowered to XNNPACK, quantized with torchao 8da4w and embedding quantization following the export script in: https://github.com/meta-pytorch/executorch-examples/blob/main/program-data-separation/export_lora.sh See the corresponding README in: https://github.com/meta-pytorch/executorch-examples/tree/main/program-data-separation/cpp/lora_example
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