server-inference push boardgame_qa
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41
config.json
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41
config.json
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{
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"model": null,
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"signature": {
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"description": "Answer the boardgame question and return one label from the allowed set.As 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.",
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"properties": {
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"question": {
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"__dspy_field_type": "input",
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"desc": "Boardgame reasoning question.",
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"prefix": "Question:",
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"title": "Question",
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"type": "string"
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},
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"reasoning": {
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"__dspy_field_type": "output",
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"desc": "Step-by-step reasoning, including uncertainty, ambiguity, or uncertainty in your thought process when relevant.",
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"prefix": "Reasoning:",
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"title": "Reasoning",
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"type": "string"
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},
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"answer": {
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"__dspy_field_type": "output",
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"desc": "Exactly one of: proved, disproved, unknown.",
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"enum": [
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"proved",
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"disproved",
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"unknown"
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],
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"prefix": "Answer:",
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"title": "Answer",
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"type": "string"
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}
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},
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"required": [
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"question",
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"reasoning",
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"answer"
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],
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"title": "BoardgameQAJudgeSig",
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"type": "object"
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}
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}
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40
program.json
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40
program.json
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{
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"traces": [],
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"train": [],
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"demos": [],
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"signature": {
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"instructions": "Answer the boardgame question and return one label from the allowed set.As 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.",
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"fields": [
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{
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"prefix": "Question:",
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"description": "Boardgame reasoning question."
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},
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{
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"prefix": "Reasoning:",
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"description": "Step-by-step reasoning, including uncertainty, ambiguity, or uncertainty in your thought process when relevant."
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},
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{
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"prefix": "Answer:",
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"description": "Exactly one of: proved, disproved, unknown."
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}
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]
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},
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"lm": {
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"model": "together_ai/Qwen/Qwen2.5-7B-Instruct-Turbo",
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"model_type": "chat",
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"cache": true,
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"num_retries": 3,
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"finetuning_model": null,
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"launch_kwargs": {},
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"train_kwargs": {},
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"temperature": null,
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"max_tokens": null
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},
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"metadata": {
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"dependency_versions": {
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"python": "3.11",
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"dspy": "3.1.3",
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"cloudpickle": "3.1"
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}
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}
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}
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