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README.md

@@ -1,6 +1,6 @@
 ---
 library_name: peft
-base_model: daryl149/llama-2-7b-chat-hf
+base_model: daryl149/llama-2-13b-chat-hf
 ---
 
 # Model Card for Model ID
@@ -204,15 +204,15 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 The following `bitsandbytes` quantization config was used during training:
 - quant_method: bitsandbytes
-- 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

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": "daryl149/llama-2-7b-chat-hf",
+  "base_model_name_or_path": "daryl149/llama-2-13b-chat-hf",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,
@@ -16,8 +16,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_proj",
-    "q_proj"
+    "q_proj",
+    "v_proj"
   ],
   "task_type": "CAUSAL_LM"
 }

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5137fa5845d6b4e1fa75904656e0e1d392aeb1da3511ca329e3be50883343f9f
-size 16822989
+oid sha256:e29766bb33c7d2a5fdb47ece13962d9cf4d20a4a9ac34a46b6968c084bfc9eee
+size 26271757