feat: Add default configmaps - Part 5 (#346)

**Reason for Change**:
Provide a default configmaps in the helm chart.

**Notes for Reviewers**:
An env variable release namespace is passed in for future use so that
the controller will be able to find where the configmap is deployed.

---------

Signed-off-by: Ishaan Sehgal <ishaanforthewin@gmail.com>

charts/kaito/workspace/templates/clusterrole.yaml

@@ -21,6 +21,9 @@ rules:
   - apiGroups: [ "" ]
     resources: [ "pods"]
     verbs: ["get","list","watch","create", "update", "patch" ]
+  - apiGroups: [ "" ]
+    resources: [ "configmaps" ]
+    verbs: [ "get","list","watch" ]
   - apiGroups: ["apps"]
     resources: ["daemonsets"]
     verbs: ["get","list","watch","update", "patch"]

charts/kaito/workspace/templates/lora-params.yaml

@@ -0,0 +1,40 @@
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: lora-params
+  namespace: {{ .Release.Namespace }}
+data:
+  training_config.yaml: |
+    training_config:
+      ModelConfig:
+        torch_dtype: "bfloat16"
+        local_files_only: true
+        device_map: "auto"
+    
+      TokenizerParams:
+        padding: true
+        truncation: true
+    
+      QuantizationConfig:
+        load_in_4bit: false
+    
+      LoraConfig:
+        r: 16
+        lora_alpha: 32
+        target_modules: "query_key_value"
+        lora_dropout: 0.05
+        bias: "none"
+    
+      TrainingArguments:
+        output_dir: "."
+        num_train_epochs: 4
+        auto_find_batch_size: true
+        ddp_find_unused_parameters: false
+        save_strategy: "epoch"
+    
+      DatasetConfig:
+        shuffle_dataset: true
+        train_test_split: 1
+    
+      DataCollator:
+        mlm: true

charts/kaito/workspace/templates/qlora-params.yaml

@@ -0,0 +1,43 @@
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: qlora-params
+  namespace: {{ .Release.Namespace }}
+data:
+  training_config.yaml: |
+    training_config:
+      ModelConfig:
+        torch_dtype: "bfloat16"
+        local_files_only: true
+        device_map: "auto"
+    
+      TokenizerParams:
+        padding: true
+        truncation: true
+    
+      QuantizationConfig:
+        load_in_4bit: true
+        bnb_4bit_quant_type: "nf4"
+        bnb_4bit_compute_dtype: "bfloat16"
+        bnb_4bit_use_double_quant: true
+    
+      LoraConfig:
+        r: 16
+        lora_alpha: 32
+        target_modules: "query_key_value"
+        lora_dropout: 0.05
+        bias: "none"
+    
+      TrainingArguments:
+        output_dir: "."
+        num_train_epochs: 4
+        auto_find_batch_size: true
+        ddp_find_unused_parameters: false
+        save_strategy: "epoch"
+    
+      DatasetConfig:
+        shuffle_dataset: true
+        train_test_split: 1
+    
+      DataCollator:
+        mlm: true