Upload model

README.md

@@ -1,9 +1,5 @@
 ---
 library_name: peft
-license: apache-2.0
-datasets:
-- tatsu-lab/alpaca
-pipeline_tag: text2text-generation
 ---
 ## Training procedure
 
@@ -21,4 +17,4 @@ The following `bitsandbytes` quantization config was used during training:
 ### Framework versions
 
 
-- PEFT 0.5.0.dev0
+- PEFT 0.5.0.dev0

adapter_config.json

@@ -1,17 +1,17 @@
 {
   "auto_mapping": null,
-  "base_model_name_or_path": "NousResearch/Llama-2-7b-hf",
+  "base_model_name_or_path": "NousResearch/Llama-2-7b-chat-hf",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,
   "init_lora_weights": true,
   "layers_pattern": null,
   "layers_to_transform": null,
-  "lora_alpha": 16,
-  "lora_dropout": 0.1,
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
   "modules_to_save": null,
   "peft_type": "LORA",
-  "r": 64,
+  "r": 16,
   "revision": null,
   "target_modules": [
     "q_proj",

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2dc57b0303e62c58c45bc1c2d9925f1614ca807950d3ab0318bf4c98ed00877b
-size 134263757
+oid sha256:be33b1f760ec6fa03b09d7de495086f0882faa740c7585eabfaecf8eb64c1232
+size 33600461