Comments (4)
We're planning for EOD today. Thank you for your patience!
from autocompressors.
Perfect, thank you very much!
from autocompressors.
I've just pushed the first version of the public code. We cleaned the codebase up quite a bit, but we will add more documentation in the next few days. We will also work on releasing our trained models on huggingface hub.
Feel free to send any questions or suggestions you have regarding the code!
from autocompressors.
Thank you very much! I'll have a look.
from autocompressors.
Related Issues (20)
- Inquiry for the release date of the pre-trained model HOT 1
- Question on the preprocessed data HOT 3
- CUDA out of memory. HOT 3
- Summary Vector Failures and Incomplete Answers with Numerical Contexts HOT 4
- BUG REPORT HOT 1
- Finetuning an autocompressor model HOT 4
- Install instructions are not clear HOT 2
- AttributeError: 'SubstepTrainer' object has no attribute 'do_grad_scaling' HOT 3
- Dimension of last_hidden_state size HOT 2
- RuntimeError: FlashAttention only support fp16 and bf16 data type HOT 3
- Held-out perplexity question HOT 3
- question about `position_ids` HOT 2
- Reduce the number of summary vectors HOT 2
- Question about the data preprocessing HOT 1
- Inquire on data of Table 1 HOT 1
- Some issue about ICL Experience HOT 3
- Install as python package? HOT 1
- substep & segment HOT 1
- torchrun error when generating training split HOT 3
- Your shared model trained on LLAMA2 is not trained on Lora, It's full-finetuned model. HOT 1
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from autocompressors.