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README.md

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+This is a fine-tuning of the LLaMa7B model in the style of the Alpaca dataset and setting but using LoRa.
+
+For details of the data and hyper params - https://crfm.stanford.edu/2023/03/13/alpaca.html
+
+This repo only contains the LoRa weights and not the original LLaMa weights which are research only.

adapter_config.json

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+{
+  "base_model_name_or_path": "decapoda-research/llama-7b-hf",
+  "bias": "none",
+  "enable_lora": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "merge_weights": false,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 4,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b6a69b66b8b708e2db1111ce2825068be2aad9431028110025cd606d691ca9b9
+size 132