chore: import upstream snapshot with attribution
This commit is contained in:
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name = "Llama 3.1 Nemotron 70B Instruct"
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description = "Nemotron model for efficient reasoning, coding, and specialized AI agents"
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family = "nemotron"
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release_date = "2025-04-15"
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last_updated = "2025-04-15"
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attachment = false
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reasoning = false
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temperature = true
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tool_call = true
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open_weights = true
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[limit]
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context = 128_000
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output = 8_192
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,18 @@
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name = "Llama 3.1 Nemotron Safety Guard 8B v3"
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description = "Safety model for policy screening, moderation, and risk-aware routing workflows"
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family = "nemotron"
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release_date = "2025-10-28"
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last_updated = "2025-10-28"
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attachment = false
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reasoning = false
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temperature = false
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tool_call = false
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open_weights = true
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[limit]
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context = 128_000
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output = 4_096
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,18 @@
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name = "Llama 3.1 Nemotron Ultra 253B"
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description = "Flagship Nemotron model for high-throughput reasoning and complex agents"
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family = "nemotron"
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release_date = "2025-04-07"
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last_updated = "2025-04-07"
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attachment = false
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reasoning = true
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temperature = true
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tool_call = true
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open_weights = true
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[limit]
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context = 128_000
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output = 8_192
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,18 @@
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name = "Llama 3.3 Nemotron Super 49B v1.5"
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description = "Nemotron model for efficient reasoning, coding, and specialized AI agents"
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family = "nemotron"
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release_date = "2025-07-25"
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last_updated = "2025-07-25"
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attachment = false
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reasoning = true
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temperature = true
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tool_call = true
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open_weights = true
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[limit]
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context = 131_072
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output = 131_072
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,18 @@
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name = "Llama 3.3 Nemotron Super 49B v1"
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description = "Nemotron model for efficient reasoning, coding, and specialized AI agents"
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family = "nemotron"
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release_date = "2025-04-07"
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last_updated = "2025-04-07"
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attachment = false
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reasoning = true
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temperature = true
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tool_call = true
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open_weights = true
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[limit]
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context = 131_072
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output = 131_072
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,18 @@
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name = "Llama Nemotron Embed VL 1B v2"
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description = "Embedding model for semantic search, retrieval, clustering, and ranking pipelines"
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family = "nemotron"
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release_date = "2026-02-10"
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last_updated = "2026-02-10"
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attachment = true
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reasoning = false
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temperature = false
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tool_call = false
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open_weights = true
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[limit]
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context = 32_768
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output = 2_048
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[modalities]
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input = ["text", "image"]
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output = ["text"]
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@@ -0,0 +1,18 @@
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name = "Llama Nemotron Rerank VL 1B v2"
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description = "Reranking model for improving retrieval quality in search and recommendation systems"
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family = "nemotron"
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release_date = "2026-03-31"
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last_updated = "2026-03-31"
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attachment = true
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reasoning = false
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temperature = false
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tool_call = false
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open_weights = true
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[limit]
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context = 128_000
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output = 4_096
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[modalities]
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input = ["text", "image"]
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output = ["text"]
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@@ -0,0 +1,18 @@
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name = "Mistral Nemotron"
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description = "Mistral model for multilingual chat, reasoning, and tool-assisted workflows"
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family = "nemotron"
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release_date = "2025-06-11"
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last_updated = "2025-06-12"
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attachment = false
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reasoning = false
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temperature = true
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tool_call = true
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open_weights = true
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[limit]
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context = 128_000
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output = 8_192
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,18 @@
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name = "Nemotron 3 Content Safety"
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description = "Safety model for policy screening, moderation, and risk-aware routing workflows"
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family = "nemotron"
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release_date = "2026-04-16"
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last_updated = "2026-04-16"
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attachment = false
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reasoning = false
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temperature = false
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tool_call = false
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open_weights = true
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[limit]
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context = 128_000
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output = 4_096
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,18 @@
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name = "Nemotron 3 Nano 30B A3B"
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description = "Small Nemotron 3 MoE for efficient coding, math, and long-context agents"
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family = "nemotron"
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release_date = "2025-12-15"
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last_updated = "2025-12-15"
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attachment = false
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reasoning = true
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temperature = true
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tool_call = true
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open_weights = true
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[limit]
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context = 262_144
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output = 262_144
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,18 @@
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name = "Nemotron 3 Nano Omni 30B A3B Reasoning"
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description = "Open Nemotron omni model combining reasoning with text, vision, and audio"
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family = "nemotron"
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release_date = "2026-04-28"
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last_updated = "2026-04-28"
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attachment = true
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reasoning = true
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temperature = true
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tool_call = true
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open_weights = true
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[limit]
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context = 256_000
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output = 65_536
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[modalities]
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input = ["text", "image", "video", "audio"]
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output = ["text"]
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@@ -0,0 +1,18 @@
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name = "Nemotron 3 Super 120B A12B"
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description = "Nemotron middle tier for collaborative agents and high-volume reasoning workloads"
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family = "nemotron"
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release_date = "2026-03-11"
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last_updated = "2026-03-11"
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attachment = false
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reasoning = true
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temperature = true
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tool_call = true
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open_weights = true
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[limit]
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context = 262_144
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output = 262_144
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,101 @@
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name = "Nemotron 3 Ultra 550B A55B"
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description = "Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy"
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family = "nemotron"
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release_date = "2026-06-04"
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last_updated = "2026-06-04"
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attachment = false
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reasoning = true
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temperature = true
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tool_call = true
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open_weights = true
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[limit]
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context = 1_000_000
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output = 128_000
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[modalities]
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input = ["text"]
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output = ["text"]
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[[benchmarks]]
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name = "SWE-Bench Verified"
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score = 70.7
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metric = "resolved"
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source = "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16"
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date = "2026-06-04"
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[[benchmarks]]
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name = "SWE-Bench Multilingual"
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score = 67.7
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metric = "resolve rate"
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source = "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16"
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date = "2026-06-04"
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[[benchmarks]]
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name = "Terminal-Bench"
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score = 56.4
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metric = "success rate"
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version = "2.1"
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source = "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16"
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date = "2026-06-04"
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[[benchmarks]]
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name = "GPQA"
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score = 87.0
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metric = "accuracy"
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variant = "no tools"
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source = "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16"
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date = "2026-06-04"
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[[benchmarks]]
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name = "Humanity's Last Exam"
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score = 26.7
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metric = "accuracy"
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variant = "no tools"
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source = "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16"
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date = "2026-06-04"
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[[benchmarks]]
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name = "Humanity's Last Exam"
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score = 37.4
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metric = "accuracy"
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variant = "with tools"
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source = "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16"
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date = "2026-06-04"
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[[benchmarks]]
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name = "LiveCodeBench"
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score = 89.0
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metric = "pass@1"
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version = "v6"
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source = "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16"
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date = "2026-06-04"
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[[benchmarks]]
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name = "MMLU-Pro"
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score = 86.8
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metric = "accuracy"
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source = "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16"
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date = "2026-06-04"
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[[benchmarks]]
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name = "BrowseComp"
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score = 44.4
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metric = "accuracy"
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source = "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16"
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date = "2026-06-04"
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[[benchmarks]]
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name = "IFBench"
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score = 81.7
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metric = "accuracy"
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variant = "prompt loose"
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source = "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16"
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date = "2026-06-04"
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[[benchmarks]]
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name = "GDPval"
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score = 46.7
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metric = "wins or ties"
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source = "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16"
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date = "2026-06-04"
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@@ -0,0 +1,18 @@
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name = "Nemotron 3.5 Content Safety"
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description = "Safety model for policy screening, moderation, and risk-aware routing workflows"
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family = "nemotron"
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release_date = "2026-06-04"
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last_updated = "2026-06-04"
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attachment = true
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reasoning = true
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temperature = true
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tool_call = false
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open_weights = true
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[limit]
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context = 128_000
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output = 8_192
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[modalities]
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input = ["text", "image"]
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output = ["text"]
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@@ -0,0 +1,18 @@
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name = "Nemotron Cascade 2 30B A3B"
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description = "Nemotron model for efficient reasoning, coding, and specialized AI agents"
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family = "nemotron"
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release_date = "2026-03-24"
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last_updated = "2026-04-09"
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attachment = false
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reasoning = true
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temperature = true
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tool_call = true
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open_weights = true
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[limit]
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context = 256_000
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output = 32_768
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,18 @@
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name = "Nemotron Content Safety Reasoning 4B"
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description = "Safety model for policy screening, moderation, and risk-aware routing workflows"
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family = "nemotron"
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release_date = "2026-01-22"
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last_updated = "2026-01-22"
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attachment = false
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reasoning = true
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temperature = false
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tool_call = false
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open_weights = true
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[limit]
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context = 128_000
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output = 4_096
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,18 @@
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name = "Nemotron Mini 4B Instruct"
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description = "Compact Nemotron model for efficient reasoning and deployable AI agents"
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family = "nemotron"
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release_date = "2024-08-21"
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last_updated = "2024-08-26"
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attachment = false
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reasoning = false
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temperature = true
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tool_call = true
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open_weights = true
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[limit]
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context = 128_000
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output = 8_192
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,18 @@
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name = "Nemotron Nano 12B v2 VL"
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description = "Nemotron multimodal model for visual reasoning and agentic AI workflows"
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family = "nemotron"
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release_date = "2025-10-28"
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last_updated = "2025-10-28"
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attachment = true
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reasoning = true
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temperature = true
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tool_call = true
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open_weights = true
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[limit]
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context = 128_000
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output = 128_000
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[modalities]
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input = ["text", "image", "video"]
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output = ["text"]
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@@ -0,0 +1,18 @@
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name = "Nemotron Nano 9B v2"
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description = "Compact Nemotron model for efficient reasoning and deployable AI agents"
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family = "nemotron"
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release_date = "2025-08-18"
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last_updated = "2025-08-18"
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attachment = false
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reasoning = true
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temperature = true
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tool_call = true
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open_weights = true
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[limit]
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context = 131_072
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output = 131_072
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||||
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,18 @@
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name = "Nemotron VoiceChat"
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description = "Nemotron multimodal model for visual reasoning and agentic AI workflows"
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family = "nemotron"
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release_date = "2026-03-16"
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last_updated = "2026-03-16"
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attachment = true
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reasoning = false
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temperature = true
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tool_call = true
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||||
open_weights = true
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||||
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||||
[limit]
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||||
context = 128_000
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output = 8_192
|
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[modalities]
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||||
input = ["text", "audio"]
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output = ["text"]
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Reference in New Issue
Block a user