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I have fine tuned "meta-llama-3.1-8b-bnb-4bit" model using unsloth. I have downloaded the lora weights and able to do inferencing using those on Colab GPU.
But i want use this fine tuned model for …
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I have been using the cordova face-api project together,
when I'm loading the MODELS, I come across the following errors:
CODE - 1:
net.load(await faceapi.fetchNetWeights('file:///android_asset/…
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Hi, Thank you for your code. I used pytorch structure pruning for global pruning. I could find 0 in weight_mask, before prune.remove(module, 'weight')
My code is like this:
for name, module in m…
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### System Info
```
2024-08-13T06:17:44.049654Z ERROR shard-manager: text_generation_launcher: Shard complete standard error output:
2024-08-13 06:17:41.545 | INFO | text_generation_server.ut…
icyxp updated
1 month ago
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I'm glad you can provide the code of the paper, I am very interested in your work, can you provide the code in raw_data = .. /dataset/JSRT/jsrt_all.csv csv file, I would appreciate it.
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I would like to ask when λ < 0, why does the expert model focus on the head categories? Shouldn't ”λ < 0“ lead to a decrease in the predicted probability of the head categories?
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### Describe the bug
OS version: Ubuntu 20.04.6 LTS (Focal Fossa)
Python version: 3.10.14
Used python-pip packages:
```
ultralytics==8.2.90
wandb==0.17.9
roboflow==1.1.44
torch==2.4.1
```
…
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This should:
- [ ] Define a canonical LoRA format (checkpoint structure)
- [ ] Implement LoRA checkpoint adapters for top-2 "source" LoRA formats into DiffusionKit's "target" (canonical) LoRA form…
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Are the models initialized with pre-trained ImageNet weights, or do you start training with random initialization?