Comments (1)
Thanks @drcege for trying it out, it was mostly legacy from previous config format, been fixed in this PR, #51.
Current folder design, thinking of multiple runs to be saved in a central place, in future, we may think of reformatting into one folder.
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Related Issues (20)
- IImportError: cannot import name 'prepare_model_for_int8_training' from 'peft' (/usr/local/lib/python3.10/dist-packages/peft/__init__.py) HOT 2
- llama 3 multilingual recipe HOT 4
- Getting "Killed" when trying to finetune the model HOT 4
- General question about difference between finetuning on Huggingface's trainer and using llama-recipes finetune script HOT 1
- Success in one command, failed using other command HOT 1
- pass
- run finetuning.py error: TypeError: Invalid function argument. Expected parameter `tensor` of type torch.Tensor, but got <class 'float'> instead. HOT 8
- Finetuning general LLM models from hugging face HOT 2
- no distributed view in tensorboard HOT 2
- Android example with MLC-LLM can't build with mlc-llm nightly package on MacOS x86-64 HOT 2
- How to test my finetuned model HOT 4
- DeepSpeed support for Full Finetuning - FSDP performance is not as good as Deepspeed
- Token indices sequence length is longer than the specified maximum sequence length for this model
- How Does LLaMA3 Merge Multiple Short Texts During the Pretraining Process? HOT 1
- Warning: Asking to pad to max_length but no maximum length is provided and the model has no predefined maximum length.
- model name llama2-70b-4096 defined in Getting_to_know_Llama.ipynb doesn't exist in groq anymore HOT 1
- Some NCCL operations have failed or timed out. HOT 2
- LlamaForCausalLM.from_pretrained: "Only Tensors of floating point and complex dtype can require gradients", on FSDP, Accelerate, quatization HOT 3
- Could not finetune llama 3 on multiple GPUs HOT 11
- Prompt template for agents with multiple tools and states + Positioning of info in prompts HOT 2
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