server-inference push snli

README.md

@@ -1,2 +1,5 @@
-# snli
+---
+{}
+---
 
+# snli

config.json

@@ -0,0 +1,49 @@
+{
+  "model": null,
+  "signature": {
+    "description": "Reason step-by-step to determine the relationship between the premise and the hypothesis.\nAs you reason, note any uncertainties, ambiguities, and gaps \u2014 both in how the instructions apply to the task at hand and in whether you have the knowledge needed to solve it. Be honest in your reasoning when you are unsure about your answer. Your reasoning should lead directly to the final label\n('entailment', 'neutral', or 'contradiction').",
+    "properties": {
+      "premise": {
+        "__dspy_field_type": "input",
+        "desc": "The premise text.",
+        "prefix": "Premise:",
+        "title": "Premise",
+        "type": "string"
+      },
+      "hypothesis": {
+        "__dspy_field_type": "input",
+        "desc": "The hypothesis text.",
+        "prefix": "Hypothesis:",
+        "title": "Hypothesis",
+        "type": "string"
+      },
+      "reasoning": {
+        "__dspy_field_type": "output",
+        "desc": "Step-by-step reasoning, including uncertainty, ambiguity, or uncertainty in your thought process when relevant.",
+        "prefix": "Reasoning:",
+        "title": "Reasoning",
+        "type": "string"
+      },
+      "label": {
+        "__dspy_field_type": "output",
+        "desc": "The NLI label ('entailment', 'neutral', or 'contradiction').",
+        "enum": [
+          "entailment",
+          "neutral",
+          "contradiction"
+        ],
+        "prefix": "Label:",
+        "title": "Label",
+        "type": "string"
+      }
+    },
+    "required": [
+      "premise",
+      "hypothesis",
+      "reasoning",
+      "label"
+    ],
+    "title": "NLIJudgeSig",
+    "type": "object"
+  }
+}

program.json

@@ -0,0 +1,44 @@
+{
+  "traces": [],
+  "train": [],
+  "demos": [],
+  "signature": {
+    "instructions": "Reason step-by-step to determine the relationship between the premise and the hypothesis.\nAs you reason, note any uncertainties, ambiguities, and gaps \u2014 both in how the instructions apply to the task at hand and in whether you have the knowledge needed to solve it. Be honest in your reasoning when you are unsure about your answer. Your reasoning should lead directly to the final label\n('entailment', 'neutral', or 'contradiction').",
+    "fields": [
+      {
+        "prefix": "Premise:",
+        "description": "The premise text."
+      },
+      {
+        "prefix": "Hypothesis:",
+        "description": "The hypothesis text."
+      },
+      {
+        "prefix": "Reasoning:",
+        "description": "Step-by-step reasoning, including uncertainty, ambiguity, or uncertainty in your thought process when relevant."
+      },
+      {
+        "prefix": "Label:",
+        "description": "The NLI label ('entailment', 'neutral', or 'contradiction')."
+      }
+    ]
+  },
+  "lm": {
+    "model": "together_ai/Qwen/Qwen2.5-7B-Instruct-Turbo",
+    "model_type": "chat",
+    "cache": true,
+    "num_retries": 3,
+    "finetuning_model": null,
+    "launch_kwargs": {},
+    "train_kwargs": {},
+    "temperature": null,
+    "max_tokens": null
+  },
+  "metadata": {
+    "dependency_versions": {
+      "python": "3.11",
+      "dspy": "3.1.3",
+      "cloudpickle": "3.1"
+    }
+  }
+}