Add toxicity LoRA adapter extracted from K-intelligence/Llama-SafetyGuard-Content-Binary (base: meta-llama/Llama-3.1-8B)

README.md

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+---
+base_model:
+- meta-llama/Llama-3.1-8B
+- K-intelligence/Llama-SafetyGuard-Content-Binary
+library_name: peft
+tags:
+- mergekit
+- peft
+
+---
+# toxicity
+
+This is a LoRA extracted from a language model. It was extracted using [mergekit](https://github.com/arcee-ai/mergekit).
+
+## LoRA Details
+
+This LoRA adapter was extracted from [K-intelligence/Llama-SafetyGuard-Content-Binary](https://huggingface.co/K-intelligence/Llama-SafetyGuard-Content-Binary) and uses [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) as a base.
+
+ [!WARNING]
+> The vocabulary size has been extended from the base model's 128256 to 128258. To load this adapter, you must first call `model.resize_token_embeddings(128258)`.
+
+### Parameters
+
+The following command was used to extract this LoRA adapter:
+
+```sh
+/nethome/ian6/ian6-myenv/bin/mergekit-extract-lora --model K-intelligence/Llama-SafetyGuard-Content-Binary --base-model meta-llama/Llama-3.1-8B --out-path ./lora_adapters/toxicity --cuda
+```

adapter_config.json

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+{
+    "base_model_name_or_path": "meta-llama/Llama-3.1-8B",
+    "peft_type": "LORA",
+    "use_rslora": false,
+    "target_modules": [
+        "gate_proj",
+        "o_proj",
+        "v_proj",
+        "q_proj",
+        "down_proj",
+        "up_proj",
+        "k_proj"
+    ],
+    "modules_to_save": [
+        "embed_tokens",
+        "input_layernorm",
+        "post_attention_layernorm",
+        "norm",
+        "lm_head"
+    ],
+    "task_type": "CAUSAL_LM",
+    "r": 128,
+    "lora_alpha": 128,
+    "rank_pattern": {},
+    "alpha_pattern": {},
+    "lora_dropout": 0.0,
+    "fan_in_fan_out": false,
+    "inference_mode": true
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1ab78deea0e6e48e2324577a8e620858b5ded72657a4cd8c778da01e3030ea8c
+size 2773071512