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README.md

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+---
+base_model:
+- meta-llama/Meta-Llama-3-8B-Instruct
+- failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
+library_name: transformers
+tags:
+- mergekit
+- peft
+- lora
+license: llama3
+---
+# Llama-3-Instruct-abliteration-LoRA-8B
+
+This is a rank=32 LoRA extracted from a language model. It was extracted using [mergekit](https://github.com/arcee-ai/mergekit).
+
+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.
+
+## LoRA Details
+
+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.
+
+### Parameters
+
+The following command was used to extract this LoRA adapter:
+
+```sh
+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
+```

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "k_proj",
+    "up_proj",
+    "v_proj",
+    "o_proj",
+    "down_proj",
+    "q_proj",
+    "lm_head"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0f1d4918d10fb6f600f731ec467245ab2000c6fe176644de9650bb45faa8dfcb
+size 176303496