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NVIDIA: Nemotron Nano 9B V2
nvidia/nemotron-nano-9b-v2
131KContext Window
Supported Protocols:reasoninginclude_reasoningmax_tokenstemperaturetop_pstopfrequency_penaltypresence_penaltyrepetition_penaltytop_kseedmin_presponse_formattoolstool_choice
Normal
NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be controlled via a system prompt. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so.
Capabilities
🧠 Reasoning🔧 Function CallingText GenerationCode GenerationAnalysis & ReasoningReasoning
Technical Specs
Input Modality
Text
Output Modality
Text
Arch
—
Default Temperature
0.7
Default Top_P
1
Pricing
Pay per use, no monthly fees| Billing Type | Unit | Price |
|---|---|---|
| Text Input | — | $0.0400/M tokens |
| Text Output | — | $0.1600/M tokens |
Quick Start
from openai import OpenAI
client = OpenAI(
base_url="https://api.uniontoken.ai/v1",
api_key="YOUR_UNIONTOKEN_API_KEY",
)
response = client.chat.completions.create(
model="nvidia/nemotron-nano-9b-v2",
messages=[
{"role": "user", "content": "Hello!"}
],
)
print(response.choices[0].message.content)FAQ
NVIDIA: Nemotron Nano 9B V2
nvidia/nemotron-nano-9b-v2
In< ¥0.001/1K
Out< ¥0.001/1K
Context Window131K
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