From e057181e6d5b562952e38ac6390097bba9d67d59 Mon Sep 17 00:00:00 2001 From: Tyrin Todd Date: Sat, 25 Apr 2026 20:26:13 -0700 Subject: [PATCH] server-inference push anli_r1 --- README.md | 3 +++ config.json | 49 +++++++++++++++++++++++++++++++++++++++++++++++++ program.json | 44 ++++++++++++++++++++++++++++++++++++++++++++ 3 files changed, 96 insertions(+) create mode 100644 config.json create mode 100644 program.json diff --git a/README.md b/README.md index e69de29..1388a48 100644 --- a/README.md +++ b/README.md @@ -0,0 +1,3 @@ +--- +{} +--- \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..2f60cee --- /dev/null +++ b/config.json @@ -0,0 +1,49 @@ +{ + "model": null, + "signature": { + "description": "Reason step-by-step to determine the logical relationship between the premise and the hypothesis.\nThe adversarially-collected examples are intentionally challenging \u2014 be careful about surface-level\ncues that may be misleading. As you reason, note any uncertainties, ambiguities, and gaps \u2014 both\nin how the instructions apply to the task and in whether you have the knowledge needed to solve it.\nBe honest in your reasoning when you are unsure. Your reasoning must lead to one of:\nentailment, 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, noting uncertainty or ambiguity where 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": "ANLIJudgeSig", + "type": "object" + } +} \ No newline at end of file diff --git a/program.json b/program.json new file mode 100644 index 0000000..ed5a893 --- /dev/null +++ b/program.json @@ -0,0 +1,44 @@ +{ + "traces": [], + "train": [], + "demos": [], + "signature": { + "instructions": "Reason step-by-step to determine the logical relationship between the premise and the hypothesis.\nThe adversarially-collected examples are intentionally challenging \u2014 be careful about surface-level\ncues that may be misleading. As you reason, note any uncertainties, ambiguities, and gaps \u2014 both\nin how the instructions apply to the task and in whether you have the knowledge needed to solve it.\nBe honest in your reasoning when you are unsure. Your reasoning must lead to one of:\nentailment, neutral, or contradiction.", + "fields": [ + { + "prefix": "Premise:", + "description": "The premise text." + }, + { + "prefix": "Hypothesis:", + "description": "The hypothesis text." + }, + { + "prefix": "Reasoning:", + "description": "Step-by-step reasoning, noting uncertainty or ambiguity where 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" + } + } +} \ No newline at end of file