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Safetensors
18 datasets
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English
Mixture of Experts
multimodal
vision
audio
endtoend
j.o.s.i.e.
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Isaak Carter Augustus commited on
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Delete first_modality_generations_untrained.txt

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- Initializing ImageBind encoder ...
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- ... ImageBind encoder initialized.
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- Initializing Reasoner LLM model and tokenizer ...
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- Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
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- ... tokenizer initialized.
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- Freezing the Reasoner ...
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- ... Reasoner LLM model initialized.
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- Initializing input ImageBind Projection ...
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- ... Input ImageBind Projection initialized
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- text prompt: <|im_start|>system
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- You are a assistant<|im_end|>
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- <|im_start|>user
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- Describe the image and audio:
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-
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- <|im_start|>system
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- You are a assistant<|im_end|>
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- <|im_start|>user
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- Describe the image and audio: <|image_start|> <|audio_start|>
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-
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- recieved image
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- Encoding Image
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- [tensor([[[-2.0294e-03, 2.0996e-02, -1.3672e-02, -1.1475e-02, -1.9836e-03,
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- 1.1963e-02]]]), tensor([[[-0.0020, 0.0210, -0.0137, ..., 0.0057, -0.0184, 0.0120],
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- [-0.0120, -0.0040, 0.0083, ..., 0.0083, 0.0131, -0.0119],
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- [ 0.0035, -0.0315, -0.0108, ..., 0.0160, 0.0194, -0.0033],
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- ...,
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- [ 0.0134, 0.0093, 0.0005, ..., -0.0001, 0.0204, 0.0117],
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- [ 0.0061, -0.0312, 0.0286, ..., 0.0228, 0.0232, -0.0014],
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- [-0.0121, 0.0053, 0.0112, ..., 0.0165, -0.0311, 0.0092],
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- ...,
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- [ 0.0245, 0.0073, 0.0044, ..., 0.0104, -0.0150, -0.0141],
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- [ 0.0060, -0.0280, 0.0079, ..., -0.0086, 0.0168, 0.0135],
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- [ 0.0123, -0.0060, 0.0310, ..., 0.0021, 0.0104, 0.0239]]],
214
- grad_fn=<CatBackward0>)]
215
-
216
- recieved audio
217
- Encoding Audio
218
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692
- -2.5391e-02, -3.6049e-04, -1.5869e-02, 3.4485e-03, -2.1667e-03,
693
- -2.3193e-03, 1.8311e-02, -5.3711e-03, 3.1982e-02, 4.0894e-03,
694
- -2.0264e-02, -5.4626e-03, -1.3062e-02, 1.6357e-02, 1.1719e-02,
695
- 3.7231e-03, -1.9165e-02, 2.0752e-03, 3.2425e-04, 9.8877e-03,
696
- -9.7656e-03, -1.4725e-03, 1.3611e-02, -6.7444e-03, 2.1973e-02,
697
- 1.7090e-02, 1.2329e-02, -9.5825e-03, 1.8799e-02, 3.5858e-03,
698
- -1.2573e-02, 6.9885e-03, 2.3804e-02, -2.3315e-02, 7.9956e-03,
699
- 1.9836e-03, 6.8283e-04, 4.8218e-03, 1.9897e-02, 3.1128e-03,
700
- 2.4719e-03, 3.0151e-02, -1.5198e-02, 5.2185e-03, 1.5076e-02,
701
- -1.4648e-02, -1.2146e-02, 1.6235e-02, -5.3406e-03, -1.1749e-03,
702
- 2.3438e-02, -3.4180e-03, -1.0742e-02, -8.6670e-03, 3.4027e-03,
703
- -4.1992e-02, -2.1648e-04, -1.1536e-02, 7.5684e-03, 8.9645e-04,
704
- -2.2217e-02, 7.0496e-03, 6.8359e-03, -1.9531e-02, -8.9722e-03,
705
- 9.2773e-03, 5.7068e-03, 1.5015e-02, -1.0132e-02, -1.5076e-02,
706
- -8.5449e-03, 3.2501e-03, -2.2827e-02, -4.2725e-03, 2.0020e-02,
707
- 9.8877e-03, -1.6357e-02, -7.9346e-03, -5.5237e-03, -2.3041e-03,
708
- 1.3733e-02, 1.0620e-02, 1.3123e-02, 1.8311e-02, -5.9814e-03,
709
- 1.8921e-02, -1.6846e-02, 2.6398e-03, 2.3560e-02, -1.3367e-02,
710
- 6.7139e-03, 1.1780e-02, 1.6724e-02, 6.0120e-03, -1.4954e-02,
711
- -9.0942e-03, 2.3651e-03, 4.3945e-03, -9.4604e-03, 6.6223e-03,
712
- -9.2163e-03, 8.4229e-03, -2.1362e-02, 9.5825e-03, -5.2490e-03,
713
- -1.5564e-02, 1.8387e-03, -5.7373e-03, 1.8555e-02, -9.0942e-03,
714
- -1.6113e-02, -2.0508e-02, -1.9775e-02, -1.2207e-02, 3.2715e-02,
715
- 1.3367e-02, -6.5918e-03, 4.6387e-03, 6.6833e-03, -2.8076e-02,
716
- 1.3306e-02, 1.0757e-03, -3.5156e-02, -1.1780e-02, 1.0315e-02,
717
- -1.5442e-02, -5.3101e-03, -2.6489e-02, -1.8234e-03, -2.0630e-02,
718
- 2.0508e-02, -3.6316e-03, -2.0996e-02, -3.0975e-03, -1.3733e-02,
719
- 2.7954e-02, -2.0630e-02, 2.0905e-03, 2.8076e-03, 1.3794e-02,
720
- -1.1841e-02, 7.0801e-03, -1.6937e-03, -3.6926e-03, -2.5940e-03,
721
- -1.0498e-02, -2.8534e-03, 4.6692e-03, -9.1553e-03, -1.3550e-02,
722
- -2.6550e-03, 7.8735e-03, -1.2878e-02, -2.5879e-02, -9.8877e-03,
723
- 1.3275e-03, -3.4904e-04, -6.8359e-03, 1.9653e-02, -1.0071e-02,
724
- 4.1504e-03, -1.5564e-02, -2.1362e-02, 2.3560e-02, -5.0049e-03,
725
- 1.4282e-02, 4.9133e-03, -1.2054e-03, -8.6060e-03, 1.6724e-02,
726
- -1.1353e-02, 2.2583e-02, 2.9449e-03, -3.6316e-03, -1.5991e-02,
727
- 1.4954e-02, 5.1880e-03, 2.3193e-02, 1.4648e-02, 2.2583e-03,
728
- 1.1536e-02, -6.0654e-04, 6.6833e-03, -5.5542e-03, 2.2583e-03,
729
- -9.8877e-03, -1.5564e-02, -3.3112e-03, 6.8054e-03, -1.9165e-02,
730
- 3.4809e-05, -7.5684e-03, 1.8921e-02, 7.5684e-03, -4.3488e-04,
731
- 9.3994e-03, 2.1667e-03, 2.2583e-02, -4.0771e-02, -2.2278e-03,
732
- -1.9043e-02, -9.8267e-03, 3.6774e-03, 5.7983e-03, -1.4404e-02,
733
- -3.4485e-03, -1.0132e-02, 2.1973e-03, -1.2817e-03, 2.6733e-02,
734
- 6.0272e-04, 3.8330e-02, 1.3062e-02, 1.2817e-02, 2.1484e-02,
735
- -1.5259e-02, -2.6611e-02, -5.4016e-03, -5.2795e-03, -7.7438e-04,
736
- -1.5991e-02, 1.5137e-02, -1.1597e-02, 2.2583e-02, -3.3722e-03,
737
- -4.6539e-04, -1.1414e-02, -2.4170e-02, 8.5449e-03, 2.3560e-02,
738
- -5.6458e-03, 4.3030e-03, -2.9297e-02, -1.5015e-02, 1.5442e-02,
739
- -2.0020e-02, -1.2695e-02, 4.0894e-03, -9.8267e-03, 2.2461e-02,
740
- 1.6235e-02, 1.7700e-02, -2.6733e-02, 1.5259e-02, -7.9956e-03,
741
- 1.0910e-03, -6.1951e-03, 6.1035e-03, -1.4160e-02, -2.4048e-02,
742
- -1.4465e-02, -9.3994e-03, 1.0437e-02, 9.0942e-03, -1.6724e-02,
743
- 7.2937e-03, 2.1362e-02, 3.7079e-03, -3.9368e-03, 1.3123e-03,
744
- 8.5449e-03, 1.4160e-02, 1.9897e-02, 6.8054e-03, -2.0020e-02,
745
- -2.2583e-02, -1.6724e-02, 8.0490e-04, 4.0039e-02, 5.7678e-03,
746
- 1.0620e-02, -1.3733e-02, 1.2878e-02, 1.6602e-02, 7.3547e-03,
747
- 2.8534e-03, 7.0572e-04, -2.7344e-02, 2.6550e-03, 4.4861e-03,
748
- -1.3062e-02, 1.4587e-02, -7.7820e-03, 2.8372e-05, -4.6997e-03,
749
- 1.1169e-02, 3.7689e-03, -1.8311e-02, 6.9885e-03, 1.6708e-03,
750
- -1.9226e-03, -1.5442e-02, 5.4626e-03, -3.0396e-02, -2.4902e-02,
751
- 6.3477e-03, -5.7678e-03, -2.4414e-02, -2.5757e-02, 1.4832e-02,
752
- 2.0020e-02, 1.4648e-02, -5.1117e-04, -5.4016e-03, 1.7334e-02,
753
- 2.6367e-02, -2.4719e-03, 1.5503e-02, -1.0498e-02, -6.2866e-03,
754
- 1.8997e-03, -1.9897e-02, 3.5095e-03, 1.4343e-02, 3.1433e-03,
755
- 2.4902e-02, 4.9438e-03, -1.9775e-02, -2.7100e-02, 8.9111e-03,
756
- -6.1951e-03, -2.4536e-02, 1.8555e-02, 3.0670e-03, -1.0376e-02,
757
- 2.4048e-02, 1.0742e-02, -6.8359e-03, 9.2773e-03, -2.1729e-02,
758
- -1.6113e-02, 3.5248e-03, 3.7079e-03, 3.5095e-03, -3.6774e-03,
759
- 1.4893e-02, -2.5757e-02, -1.2695e-02, -2.3682e-02, -3.8574e-02,
760
- 1.7090e-02, -9.6436e-03, -2.1729e-02, -6.0425e-03, -1.5381e-02,
761
- -1.8311e-02, -2.1515e-03, 1.3123e-02, 2.8076e-02, -1.2207e-02,
762
- 5.6076e-04, -3.0518e-03, 8.8501e-03, 6.1035e-03, -1.0193e-02,
763
- 2.2583e-02, 6.0425e-03, -1.5015e-02, 5.4626e-03, -8.0566e-03,
764
- 2.2217e-02, 9.0942e-03, -2.9449e-03, 1.2589e-03, 7.6294e-03,
765
- -1.8799e-02, -4.2969e-02, 5.6152e-03, 1.9287e-02, -3.5553e-03,
766
- 4.2725e-03, -3.5889e-02, 3.3569e-03, -6.0120e-03, 2.6398e-03,
767
- -1.4893e-02, -4.7302e-03, 1.0864e-02, -2.3956e-03, 2.8931e-02,
768
- 1.1292e-02]]]), tensor([[[-0.0250, -0.0245, 0.0175, ..., 0.0332, 0.0106, 0.0041],
769
- [ 0.0060, -0.0280, 0.0079, ..., -0.0086, 0.0168, 0.0135],
770
- [ 0.0121, 0.0053, -0.0028, ..., 0.0192, 0.0135, 0.0059],
771
- ...,
772
- [ 0.0245, 0.0073, 0.0044, ..., 0.0104, -0.0150, -0.0141],
773
- [ 0.0060, -0.0280, 0.0079, ..., -0.0086, 0.0168, 0.0135],
774
- [ 0.0123, -0.0060, 0.0310, ..., 0.0021, 0.0104, 0.0239]]],
775
- grad_fn=<CatBackward0>)]
776
-
777
- Generaded and Prepared the inputs:
778
- tensor([[[-0.0020, 0.0210, -0.0137, ..., 0.0057, -0.0184, 0.0120],
779
- [-0.0020, 0.0210, -0.0137, ..., 0.0057, -0.0184, 0.0120],
780
- [-0.0120, -0.0040, 0.0083, ..., 0.0083, 0.0131, -0.0119],
781
- ...,
782
- [ 0.0123, -0.0060, 0.0310, ..., 0.0021, 0.0104, 0.0239],
783
- [-0.0020, 0.0210, -0.0137, ..., 0.0057, -0.0184, 0.0120],
784
- [-0.0030, -0.0425, 0.0232, ..., 0.0081, 0.0537, -0.0090]]],
785
- grad_fn=<CatBackward0>)
786
- Generates IDs from the Reasoner:
787
- tensor([[ 362, 883, 374, 11699, 389, 264, 13425, 11, 9963, 264,
788
- 3460, 91613, 315, 19281, 13, 576, 6249, 15562, 82, 304,
789
- 389, 279, 883, 594, 3579, 323, 279, 91613, 438, 566,
790
- 9982, 432, 705, 13, 576, 5112, 6239, 369, 19281, 323,
791
- 7203, 525, 59021, 11, 18860, 429, 419, 6109, 374, 4363]])
792
- Tokenized the Outputs
793
- A man is sitting on a bench, holding a large bouquet of flowers. The camera zooms in on the man's face and the bouquet as he holds it up. The sound effects for flowers and movement are muted, indicating that this scene is likely