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Related Issues (20)
- How to use lora finetune moe model HOT 2
- adapter_config.json is saved as "loftq_config": { "loftq_bits": "4bit", ... } HOT 1
- adding lora adapter to embedding layer while using bitsandbytes and mixed precision training gives "RuntimeError: a leaf Variable that requires grad is being used in an in-place operation." HOT 7
- size mismatch of embedding layer without adding any token HOT 1
- How to properly set the parameters of add_weighted_adapter() HOT 1
- Add a new fine-tuning method called Conv-Lora HOT 2
- How do I easily inherit and register the new method? HOT 2
- Add a new (not so new and it is typical) fine-tuning method called VPT HOT 3
- cannot load int8/4 model with deepspeed zero3 HOT 5
- Base Model Revision HOT 4
- When peft>0.7.0, fine-tuning ChatGLM3-6B causes the model to become dumb with a loss of 0 HOT 8
- Error saving LoRaModel with Wav2vec2forCTC basemodel HOT 6
- Custom Training for multiple LoRAs for the same model. HOT 4
- PP or TP supported for multi-node training? HOT 3
- 'set_adapter()' throws "ValueError: Adapter not found in odict_keys" after 'load_adapter()' HOT 11
- MPS: Cannot add LoRA to Unet (LoftQ) HOT 4
- Loading LORA weights in `diffusers` with a `peft` backend increases in latency as more paths are added to `PYTHONPATH` HOT 4
- element 0 of tensors does not require grad and does not have a grad_fn HOT 4
- error merge_and_unload for adapter with a prefix HOT 23
- PeftModel is_trainable=True causes generate output to be garbage. HOT 5
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