multi-qa-MiniLM-L6-cos-v1

This repository hosts the multi-qa-MiniLM-L6-cos-v1 models exported for the React Native ExecuTorch library as ExecuTorch .pte programs, ready to run on device.

Upstream model: multi-qa-MiniLM-L6-cos-v1

Variants

Path Backend Precision
coreml/multi_qa_minilm_l6_cos_v1_coreml_fp16.pte coreml fp16
coreml/multi_qa_minilm_l6_cos_v1_coreml_int8.pte coreml int8
vulkan/multi_qa_minilm_l6_cos_v1_vulkan_fp16.pte vulkan fp16
xnnpack/multi_qa_minilm_l6_cos_v1_xnnpack_fp32.pte xnnpack fp32
xnnpack/multi_qa_minilm_l6_cos_v1_xnnpack_int8.pte xnnpack int8

XNNPACK int8

xnnpack/multi_qa_minilm_l6_cos_v1_xnnpack_int8.pte is 8da8w (int8 dynamic activations, int8 per-channel weights) on the Linear layers, with an int8 word-embedding table. SQuAD v1.1 dev passage retrieval (2000 questions against their 315 paragraphs), dot product:

top-1 MRR
fp32 57.50 0.6972
int8 57.55 0.6973

Repository structure

config.json                                         47 B
coreml/config.json                                  1.7 kB
coreml/multi_qa_minilm_l6_cos_v1_coreml_fp16.pte    43.4 MB
coreml/multi_qa_minilm_l6_cos_v1_coreml_int8.pte    21.8 MB
tokenizer.json                                      695 kB
tokenizer_config.json                               383 B
vulkan/config.json                                  947 B
vulkan/multi_qa_minilm_l6_cos_v1_vulkan_fp16.pte    43.1 MB
xnnpack/config.json                                 1.6 kB
xnnpack/multi_qa_minilm_l6_cos_v1_xnnpack_fp32.pte  86.2 MB
xnnpack/multi_qa_minilm_l6_cos_v1_xnnpack_int8.pte  21.9 MB

Compatibility

These files are published for the ExecuTorch v1.4.1 runtime. ExecuTorch gives no forward compatibility guarantee, so an older runtime may fail to load them.

To use them in React Native ExecuTorch, pass the model constant shipped in the library's model registry to the corresponding task pipeline. See the documentation.

To load these files in your own ExecuTorch runtime, read the compatibility note first.

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