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README.md

@@ -1,3 +1,20 @@
 ---
 library_name: peft
 ---
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: True
+- bnb_4bit_compute_dtype: float16
+### Framework versions
+
+
+- PEFT 0.4.0.dev0

adapter_config.json

@@ -6,7 +6,7 @@
   "init_lora_weights": true,
   "layers_pattern": null,
   "layers_to_transform": null,
-  "lora_alpha": 32,
+  "lora_alpha": 16,
   "lora_dropout": 0.05,
   "modules_to_save": null,
   "peft_type": "LORA",
@@ -14,9 +14,9 @@
   "revision": null,
   "target_modules": [
     "dense",
+    "dense_4h_to_h",
     "dense_h_to_4h",
-    "query_key_value",
-    "dense_4h_to_h"
+    "query_key_value"
   ],
   "task_type": "CAUSAL_LM"
 }

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f6ba259a1758136bb2f0bf3b385135fd4723634146d86721c8921ad521e4a1e2
+oid sha256:e6e0f6bf2b755446a943bed9acacbbc9eb5e55fb6cca1ebb4dfe163b055868bb
 size 42036557