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README.md

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+---
+base_model:
+- meta-llama/Meta-Llama-3-8B
+- nvidia/Llama3-ChatQA-1.5-8B
+library_name: transformers
+tags:
+- mergekit
+- peft
+
+---
+# Untitled LoRA Model (1)
+
+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 [nvidia/Llama3-ChatQA-1.5-8B](https://huggingface.co/nvidia/Llama3-ChatQA-1.5-8B) and uses [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) as a base.
+
+### Parameters
+
+The following command was used to extract this LoRA adapter:
+
+```sh
+mergekit-extract-lora meta-llama/Meta-Llama-3-8B nvidia/Llama3-ChatQA-1.5-8B OUTPUT_PATH --no-lazy-unpickle --rank=64
+```

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "meta-llama/Meta-Llama-3-8B",
+  "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": 64,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "lm_head",
+    "up_proj",
+    "q_proj",
+    "v_proj",
+    "o_proj",
+    "down_proj",
+    "k_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 705031520