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README.md

@@ -1,20 +1,3 @@
 ---
 library_name: peft
 ---
-## Training procedure
-
-
-The following `bitsandbytes` quantization config was used during training:
-- 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 0.4.0.dev0

adapter_config.json

@@ -1,16 +1,16 @@
 {
-  "base_model_name_or_path": "decapoda-research/llama-7b-hf",
+  "base_model_name_or_path": "models/decapoda-research_llama-7b-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_alpha": 128,
   "lora_dropout": 0.05,
   "modules_to_save": null,
   "peft_type": "LORA",
-  "r": 8,
+  "r": 256,
   "revision": null,
   "target_modules": [
     "q_proj",