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Browse files- README.md +31 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
README.md
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---
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library_name: transformers
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tags: []
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---
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# Just for PEFT testing
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See PR #1658
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## Reproduction
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```python
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import torch
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from huggingface_hub import cached_download
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from transformers import AutoModelForCausalLM
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from peft import LoraConfig, PeftModel, get_peft_model
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torch.manual_seed(0)
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model = AutoModelForCausalLM.from_pretrained("hf-internal-testing/tiny-random-BertModel").eval()
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lora_config = LoraConfig(init_lora_weights=False)
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peft_model = get_peft_model(model, lora_config)
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peft_model.push_to_hub("peft-internal-testing/tiny-random-BertModel-lora")
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del model, peft_model
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torch.manual_seed(0)
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model = AutoModelForCausalLM.from_pretrained("hf-internal-testing/tiny-random-BertModel").eval()
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torch.manual_seed(1)
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lora_config = LoraConfig(init_lora_weights=False)
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peft_model = get_peft_model(model, lora_config)
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peft_model.push_to_hub("peft-internal-testing/tiny-random-BertModel-lora", revision="v1.2.3")
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```
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "BertLMHeadModel",
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"parent_library": "mindone.transformers.models.bert.modeling_bert"
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},
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"base_model_name_or_path": "townwish/tiny-random-BertModel",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": false,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 8,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"value",
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"query"
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],
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"task_type": null,
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2218394edc1c87ce342d456a824eb0381bf85fbece3ef0accad7b1cbc74e6a82
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size 23200
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