Comments (5)
Good idea. But you should add it to the howto
s about downloading data, not the README
from litgpt.
Downloading weights is not strictly required to use the project. For instance, to pretrain the model.
This is why that package is not part of requirements.txt
from litgpt.
Makes sense! If desired, I can edit the README to add pip install huggingface_hub
where required.
from litgpt.
from litgpt.
I ran into the issue after following the tutorial here again: https://lightning.ai/pages/blog/falcon-a-guide-to-finetune-and-inference/
Maybe a idea would be to use the extras_require
feature in the setup.py and create multiple versions?
extras_require={
'download': ['huggingface_hub'], # These are additional requirements for the "download" version
},
Then we could add pip install .[download]
to the documentation.
I think it would be important to add this in the main readme.md.
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Related Issues (20)
- did not convert the model to litgpt format, why? HOT 3
- Support downloading and using quantized weights (GGUF)
- Autodownload + conversion now fails on the first try
- Skip safetensors->bin file conversion
- Mistral Large 2 Checkpoints HOT 1
- Support sequential generation in litgpt serve HOT 1
- Provide minimal installation
- Implement prompt caching to speed up inference HOT 1
- access hidden layer(s) from a model
- TPU Pod Training
- MPS test gave out gibberish result HOT 1
- Use FlexAttention
- Tensor parallelism generates non-sensical outputs HOT 1
- Gemma 2B weights seem to have changed HOT 1
- Disable KV cache option
- attention mask is incorrect when generate with softcapping HOT 8
- Llama3 finetuning and generation: Double begin_of_text, no eot_id HOT 8
- adding a UI for the training and the finetuning HOT 1
- Microsoft Phi 3.5 MoE
- about litgpt command HOT 3
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