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README.md

@@ -0,0 +1,21 @@
+---
+library_name: peft
+---
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: True
+- load_in_4bit: False
+- 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: fp4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float32
+### Framework versions
+
+
+- PEFT 0.6.0.dev0

adapter_config.json

@@ -1,15 +1,20 @@
 {
+  "alpha_pattern": {},
+  "auto_mapping": null,
   "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": 8,
+  "rank_pattern": {},
+  "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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-size 16822989
+oid sha256:e5e1621f48d9ad8feb1d6d31050275f0aafd080c5c07153301fe2f48411f4406
+size 443