Comments (3)
solved in a dumb way.please fix this bug.
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I'm running into the same issue. Going to see what state-spaces have that the model I'm training doesn't
Here's a notebook where this is trying to be loaded
https://colab.research.google.com/drive/1m-q--YAxhUvrRRUklgaBLJqhdEZdJo7y?usp=sharing
from mamba-chat.
Ok so what worked for me is I downloaded a copy of the config from hf for the size of my model and uploaded it into my hf model as config. There's probably a trainer setting that needs to be toggled. I'll take a look later.
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Related Issues (20)
- Finetune on 3090 but loss equal to zero HOT 4
- Memory requirements for training
- Error during training HOT 6
- Error When Inferencing HOT 1
- Eval on benchmark?
- Any plan or interest to use OpenChat algorithm (https://github.com/imoneoi/openchat) to train your chat?
- ImportError: /usr/local/lib/python3.10/dist-packages/causal_conv1d_cuda.cpython-310-x86_64-linux-gnu.so: undefined symbol: _ZN3c104cuda9SetDeviceEi HOT 1
- MoE https://arxiv.org/abs/2401.04081
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- Is the provided chat model trained on ultrachat_small.jsonl? HOT 1
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- MambaConfig' object has no attribute 'to_dict'
- Is there Padding Mask when training the model?
- I downloaded the mamba-790m file from Hugging Face to my local machine for loading and training. However, I encountered an error during the loading process, like that "Missing key(s) in state_dict: "backbone.layers.0.mixer.A_b_log""
- sentencepiece version
- Why choose zephyr as tokenizer?
- Error in importing from mamba_ssm.models.mixer_seq_simple import MambaLMHeadModel in GoogleCollab HOT 3
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