Comments (4)
lucidrains
commented on July 23, 2024
1
@StellaAthena ohh, that package is for pytorch
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lucidrains
commented on July 23, 2024
1
@StellaAthena it's already done, we just need to test it in a run
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StellaAthena
commented on July 23, 2024
1
Thanks! Tomorrow I’ll update the documentation, add testing MoE to the Kanban, and close this issue.
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StellaAthena
commented on July 23, 2024
Documentation has been updated. Moved the question of testing the code to #37
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Related Issues (20)
- Exception: stream did not contain valid UTF-8
- Dataset preparation HOT 1
- Inferencing HOT 2
- Freeze Transformer Weight HOT 1
- Incosistent inference TPU vs GPU (huggingface) HOT 1
- Colab: Download of pre trained dataset not possible. the-eye.eu is offline HOT 1
- GPT3_1_3B configuration for a v3-32 TPU HOT 3
- the-eye.eu is down again, is there a mirror? HOT 6
- GPT-neo 350M weights? HOT 3
- Links in the readme to the-eye.eu don't work HOT 1
- Argument not a list with same length as devices
- The locally ran gpt-neo-2.7B is using CPU instead of GPU HOT 1
- Generation should allow user to specify max length of generated portion, rather than total HOT 5
- Not able to generate predicted text after `Done with copy master to slices.` with 1.3B pre-trained model
- The temperature at 0.0001 (or other arbitrarily small float) is still too high HOT 5
- The model should return just the generated text, not the prompt text + generated text. HOT 2
- TPU device does not support heartbeats.
- IndexError: index out of range in self HOT 1
- FYI:Japanese pre-trained gpt-neo implementation showcase by using PyTorch, Transformers, and Rust HOT 1
- Cannot Connect To Local TPU-VM HOT 1
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