This is how you can obtain multiple outputs. Or, you can dynamically swap LoRA weights for the desired ones (for each forward pass), the code should be simpler, though it won't be as performant, since you will have to apply pretrained weights for each LoRA weights set....
把lora model中adapter_config.json裡的enable_lora和merge_weights刪除即可。 Sorry, something went wrong. MonetCH closed this as completed Jun 11, 2024 Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment Assignees No one assigned Labels None ...
# Reload base_model in FP16 and merge it with LoRA weights base_model = AutoModelForCausalLM.from_pretrained( model_name, low_cpu_mem_usage=True, return_dict=True, torch_dtype=torch.float16, device_map=device_map, ) model = PeftModel.from_pretrained(base_model, new_model) model = mod...
weights.unsqueeze_(-1) res = (weights * tensors).sum(dim=0) if self.normalize: res /= weights.sum(dim=0) 我对这种简单粗暴的加权持有保留态度. 这意味着学到的权重空间近似是一个线性空间. 这怎么看都觉得不靠谱. 但是, 你会发现连Deepmind也干这样的事情. 这篇2024年的文章WARM: On the Benefi...
+1 分享85 novelai吧 真·晕晕无双 【模型分析】关于Counterfeit-V3.0是如何被构建出来的其制作者gsdf在早前上传的Replicant和Counterfeit-V2.0的模型卡中提到了他的模型是从采用了DreamBooth + Merge Block Weights + Merge LoRA等三种方法来制作的。其实翻译过就是微调大模型,训练lora,根据需求进行分层合并。 1111...
lora_adapter = AutoModel.from_pretrained("ArcturusAI/Crystalline-1.1B-v23.12-tagger")# Assuming the models have the same architecture (encoder, decoder, etc.)# Get the weights of each modelpretrained_weights = pretrained_model.state_dict() ...
Merge Pretrained Model and Adapter as a Single File: I have observed that when I push the model to the Hugging Face Hub usingmodel.push_to_hub("myrepo/llama-2-7B-ft-summarization"), it only pushes the adapter weights. How can I merge the pretrained model and fine...
""" check_valid_checkpoint_dir(checkpoint_dir, model_filename="lit_model.pth.lora") if pretrained_checkpoint_dir is not None: check_valid_checkpoint_dir(pretrained_checkpoint_dir) if (checkpoint_dir / "lit_model.pth").is_file(): print("LoRA weights have already been merged in this ...
另外在merge過程中,有將adapter_config.json中的enable_lora和merge_weights刪除。 依赖情况(代码类问题务必提供) # 请在此处粘贴依赖情况(请粘贴在本代码块里) bitsandbytes 0.43.1 peft 0.7.1 pytorch-quantization 2.1.2 torch 2.3.0a0+ebedce2 torch-tensorrt 2.3.0a0 torchdata 0.7.1a0 torchtext 0.17....
Could we load LoRA with llama.cpp? Some languages are not well supported in original llama, but may be provided via LoRA. Yes, you just need to use the script by @tloen to obtain the pytorch weights, then convert to ggml using the steps described in the README. Note that the output...