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README.md

@@ -1,5 +1,9 @@
-This is a fine-tuning of the LLaMa7B model in the style of the Alpaca dataset and setting but using LoRa.
+---
+library_name: peft
+---
+## Training procedure
 
-For details of the data and hyper params - https://crfm.stanford.edu/2023/03/13/alpaca.html
+### Framework versions
 
-This repo only contains the LoRa weights and not the original LLaMa weights which are research only.
+
+- PEFT 0.4.0.dev0

adapter_config.json

@@ -1,15 +1,17 @@
 {
   "base_model_name_or_path": "decapoda-research/llama-7b-hf",
   "bias": "none",
-  "enable_lora": null,
   "fan_in_fan_out": false,
   "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
   "lora_alpha": 16,
   "lora_dropout": 0.05,
-  "merge_weights": false,
   "modules_to_save": null,
   "peft_type": "LORA",
   "r": 4,
+  "revision": null,
   "target_modules": [
     "q_proj",
     "v_proj"

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b7d3eed8c8a8f91c2f70c78245085ba48ba1d17f19b15450378b3d705c470dca
 size 8434381