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README.md

@@ -18,6 +18,7 @@ base_model: meta-llama/Llama-2-7b-chat-hf
 
 
 - **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
 - **Shared by [optional]:** [More Information Needed]
 - **Model type:** [More Information Needed]
 - **Language(s) (NLP):** [More Information Needed]
@@ -76,7 +77,7 @@ Use the code below to get started with the model.
 
 ### Training Data
 
-<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
 
 [More Information Needed]
 
@@ -107,7 +108,7 @@ Use the code below to get started with the model.
 
 #### Testing Data
 
-<!-- This should link to a Data Card if possible. -->
+<!-- This should link to a Dataset Card if possible. -->
 
 [More Information Needed]
 
@@ -216,4 +217,4 @@ The following `bitsandbytes` quantization config was used during training:
 ### Framework versions
 
 
-- PEFT 0.6.0.dev0
+- PEFT 0.6.3.dev0

adapter_config.json

@@ -16,18 +16,18 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "mlp.gate_proj",
+    "model.norm.weight",
+    "post_attention_layernorm.weight",
+    "self_attn.k_proj",
     "self_attn.o_proj",
+    "mlp.gate_proj",
     "mlp.up_proj",
-    "mlp.down_proj",
-    "self_attn.v_proj",
-    "lm_head.weight",
+    "input_layernorm.weight",
     "self_attn.q_proj",
-    "post_attention_layernorm.weight",
-    "model.norm.weight",
-    "self_attn.k_proj",
+    "mlp.down_proj",
     "self_attn.rotary_emb.inv_freq",
-    "input_layernorm.weight"
+    "self_attn.v_proj",
+    "lm_head.weight"
   ],
   "task_type": "CAUSAL_LM"
 }

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c72e9f5a30695b22a9e18ac290542d9fc8dbb2db7a780a3e36ee36ca3efeef3
+size 159967880