Initial release
Browse files- README.md +24 -0
- adapter_config.json +33 -0
- adapter_model.safetensors +3 -0
README.md
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---
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license: llama3
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---
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---
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base_model:
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- meta-llama/Meta-Llama-3-8B-Instruct
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- failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
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library_name: transformers
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tags:
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- mergekit
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- peft
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license: llama3
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---
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# Llama-3-Instruct-abliteration-LoRA-8B
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This is a rank=32 LoRA extracted from a language model. It was extracted using [mergekit](https://github.com/arcee-ai/mergekit).
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This LoRA is derived from the refusal ablation vector also computed in [Llama-3-Instruct-abliteration-OVA-8B](https://huggingface.co/grimjim/Llama-3-Instruct-abliteration-OVA-8B), and is around 5 orders of magnitude smaller than full bf16 weights of the base model.
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## LoRA Details
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This LoRA adapter was extracted from [failspy/Meta-Llama-3-8B-Instruct-abliterated-v3](https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3) and uses [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) as a base.
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### Parameters
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The following command was used to extract this LoRA adapter:
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```sh
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mergekit-extract-lora meta-llama/Meta-Llama-3-8B-Instruct failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 OUTPUT_PATH --rank=32 --model_name=Llama-3-8B-Instruct-counter-refusal
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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": null,
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"base_model_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
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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": true,
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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": 32,
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"lora_dropout": 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": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"k_proj",
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"up_proj",
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"v_proj",
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"o_proj",
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"down_proj",
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"q_proj",
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"lm_head"
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],
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"task_type": "CAUSAL_LM",
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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 sha256:0f1d4918d10fb6f600f731ec467245ab2000c6fe176644de9650bb45faa8dfcb
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size 176303496
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