Upload model

README.md

@@ -5,15 +5,15 @@ library_name: peft
 
 
 The following `bitsandbytes` quantization config was used during training:
-- load_in_8bit: True
-- load_in_4bit: False
+- 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: fp4
-- bnb_4bit_use_double_quant: False
-- bnb_4bit_compute_dtype: float32
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: True
+- bnb_4bit_compute_dtype: bfloat16
 ### Framework versions
 
 

adapter_config.json

@@ -1,14 +1,14 @@
 {
  "auto_mapping": null,
- "base_model_name_or_path": "declare-lab/flan-alpaca-base",
+ "base_model_name_or_path": "google/flan-t5-base",
  "bias": "none",
  "fan_in_fan_out": false,
  "inference_mode": true,
  "init_lora_weights": true,
  "layers_pattern": null,
  "layers_to_transform": null,
- "lora_alpha": 32,
- "lora_dropout": 0.05,
+ "lora_alpha": 64,
+ "lora_dropout": 0.0,
  "modules_to_save": null,
  "peft_type": "LORA",
  "r": 8,

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3612c5d23bcff0a076e258bbfa5439688ecf86a331a7f55d128f382e826c3934
+oid sha256:64be11d82bdd88d708946edd1b77187bb1655da99bb79cad1f5fd7444cb41ebd
 size 3591693