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Hi, I was wondering whether reseting the model weights was available.
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### OS
Linux
### GPU Library
CUDA 12.x
### Python version
3.12
### Pytorch version
2.3.1
### Model
mistral-v0.3-instruct
### Describe the bug
i hosted llm using fastapi and accept the lora …
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执行命令:
cd compile
python3 export_onnx.py --model_path your_minicpmv_path
报错：
File "/usr/local/anaconda3/envs/hulei/lib/python3.10/site-packages/transformers/models/qwen2/modeling_qwen2.py", lin…
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The idea is perhaps future-looking, but I'd like to bring it up for discussion.
## Motivations
* Reduce the GPU/NPU memory required for completing a use case (e.g. text2image).
* Reduce the mem…
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I got it working
Run this
```
pip3 install torch torchvision torchaudio torchvision --index-url https://download.pytorch.org/whl/rocm6.2
```
Then remove `torchvision`, `torchaudio`, `torchvisio…
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I am new to this therefore i am unable to understand how to train/finetune the original model. i tried to use the original model checkpoints in your version to finetune but it gives some error that we…
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### Model/Pipeline/Scheduler description
Adding support for OmniGen, a unified image generation model that can handle multiple tasks including text-to-image, image editing, subject-driven generatio…
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### 🚀 The feature, motivation and pitch
I'm trying to use Executorch for running LLM's on low powered(low RAM) devices. I would like all the weights to not be loaded into RAM when the model is loaded…
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The link to the model and training weights is broken. Can someone please update it?
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Hey
This looks like an interesting paper. Are you guys planning to release the codebase anytime soon?