Comments (2)
https://github.com/huggingface/peft/blob/main/tests/test_adaption_prompt.py#L62-L72 has examples of creating small models ad hoc for tests
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we've added e2e tests now
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Related Issues (20)
- Possible Bug in Chat Template Preprocessing HOT 4
- Training Freeze after "Shuffle merged datasets" (and adding position ids) HOT 1
- Data Gets Tokenized Before Special Tokens Are Added HOT 3
- Migrate multipack to refactored flash attention HOT 1
- Training early stop without setting the early_stopping_patience parameters HOT 1
- FSDP "zero-2" checkpoints don't save
- increase tux scroll back buffer length in docker image
- deprecate dataset_processes in preference of dataset_num_proc
- Colab Notebook Example In The Repo Not Running HOT 3
- unhandled prompt tokenization strategy: sharegpt.load_glaive
- Error Building Extension 'cpu_adam' HOT 3
- Zamba2AttentionDecoderLayer.forward() takes from 4 to 10 positional arguments but 11 were given HOT 2
- Can't preprocess dataset using meta-llama/Meta-Llama-3.1-8B model HOT 3
- `undefined symbol: cget_col_row_stats` when finetune in the axolotl-cloud docker container HOT 2
- There is no model saved in the checkpoint/final when lora_tuning llama3
- Extremely High Loss, which quickly goes to *0* by the End; Configs that Were Fine Are Broken Now HOT 16
- A wrapper of RESTful API - Web server on the top of Axolotl HOT 1
- Mistral Nemo 12B training CUDA Out of memory only when enabling EVAL. On 2x3090Ti FSDP. HOT 3
- Support LGAI-EXAONE model
- autoawq 0.2.6 causing conflicting dependencies HOT 4
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