Uploading model to Hugging Face Hub.

README.md

@@ -160,6 +160,18 @@ The following `bitsandbytes` quantization config was used during training:
 - bnb_4bit_use_double_quant: False
 - bnb_4bit_compute_dtype: float32
 
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- 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: False
+- bnb_4bit_compute_dtype: float32
+
 The following `bitsandbytes` quantization config was used during training:
 - quant_method: bitsandbytes
 - load_in_8bit: False
@@ -186,5 +198,6 @@ The following `bitsandbytes` quantization config was used during training:
 - PEFT 0.5.0
 - PEFT 0.5.0
 - PEFT 0.5.0
+- PEFT 0.5.0
 
 - PEFT 0.5.0

adapter_config.json

@@ -14,12 +14,12 @@
   "r": 64,
   "revision": null,
   "target_modules": [
+    "k_proj",
+    "gate_proj",
     "down_proj",
     "o_proj",
-    "gate_proj",
-    "v_proj",
     "up_proj",
-    "k_proj",
+    "v_proj",
     "q_proj"
   ],
   "task_type": "CAUSAL_LM"

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:606fdcafd079e58fc594ac04c423c8d14b78549114267ab3affdc41488deae20
+oid sha256:0ea1973e4957118470d46a57ec435674a88a5a216638a1204a2c5fa6b50c0ce7
 size 671250189