Add granite 3.3 2b context relevance LoRA (#13)

- Add granite 3.3 2b LoRA for context relevance (7962c585d14b281d8596c62d5c328bec921aeb53)


Co-authored-by: Fred Reiss <[email protected]>

context_relevance/lora/granite-3.3-2b-instruct/adapter_config.json

@@ -0,0 +1,33 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "ibm-granite/granite-3.3-2b-instruct",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj",
+    "k_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

context_relevance/lora/granite-3.3-2b-instruct/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:afa17732fea4ce20b591c2e391c2ddbd0e99638a2194ec5d1e29c7930dff69ec
+size 47218112

context_relevance/lora/granite-3.3-2b-instruct/io.yaml

@@ -0,0 +1,29 @@
+# Model name string, or null to use whatever is provided in the chat completion request
+model: ~
+# JSON schema of the model's output
+response_format:  |
+  {
+    "title": "ContextRelevanceOutput",
+    "type": "object",
+    "properties": {
+      "context_relevance": {
+        "type": "string",
+        "description": "Context relevancy judgment.",
+        "enum": ["relevant", "irrelevant", "partially relevant"]
+      }
+    },
+    "required": ["context_relevance"]
+  }
+# Additional turn of instructions to add to the chat
+instruction: |
+  DOCUMENT: {document_content}
+# Data transformations to perform during post-processing
+transformations:
+  - type: likelihood
+    categories_to_values:
+      "relevant": 1.0
+      "irrelevant": 0.0
+      "partially relevant": 0.5
+    input_path: ["context_relevance"]
+parameters: ~
+sentence_boundaries: ~