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README.md

@@ -0,0 +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: bfloat16
+### Framework versions
+
+
+- PEFT 0.4.0.dev0

adapter_config.json

@@ -1,17 +1,19 @@
 {
-  "base_model_name_or_path": "EleutherAI/gpt-neo-1.3B",
+  "base_model_name_or_path": "tiiuae/falcon-7b-instruct",
   "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,
   "modules_to_save": null,
   "peft_type": "LORA",
   "r": 16,
+  "revision": null,
   "target_modules": [
-    "q_proj",
-    "v_proj"
+    "query_key_value"
   ],
   "task_type": "CAUSAL_LM"
 }

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 12617681
+oid sha256:2cc1fb99c8cf09fc0a4185dfd0781d3249a18f7f30e8ea70d8f50b40dc244311
+size 18898161