Add LoRA_Weights for Tabular-LLM

"saved-bloomz-7b-mt_TQA" and "saved-llama-7b-hf_TQA" contain LoRA weights which are finetuned on TQA data.

Tabular-LLM-Model/saved-bloomz-7b-mt_TQA/adapter_config.json

@@ -0,0 +1,16 @@
+{
+  "base_model_name_or_path": "bigscience/bloomz-7b1-mt",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "target_modules": [
+    "query_key_value"
+  ],
+  "task_type": "CAUSAL_LM"
+}

Tabular-LLM-Model/saved-bloomz-7b-mt_TQA/adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:324dccddea6af8551f66560420068ef10a80741f6023bf14c21ce755b9589607
+size 15750885

Tabular-LLM-Model/saved-llama-7b-hf_TQA/adapter_config.json

@@ -0,0 +1,17 @@
+{
+  "base_model_name_or_path": "decapoda-research/llama-7b-hf",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

Tabular-LLM-Model/saved-llama-7b-hf_TQA/adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d0f9fdbf1ebdd0d8a6cbc5e9a8d698831dbaafec9851bd58856cbacae017e435
+size 16822989