Llama 3.1 Nemotron Nano 8b V1
Llama-3.1-Nemotron-Nano-8B-v1 is a compact large language model (LLM) derived from Meta's Llama-3.1-8B-Instruct, specifically optimized for reasoning tasks, conversational interactions, retrieval-augmented generation (RAG), and tool-calling applications. It balances accuracy and efficiency, fitting comfortably onto a single consumer-grade RTX GPU for local deployment. The model supports extended context lengths of up to 128K tokens. Note: you must include `detailed thinking on` in the system prompt to enable reasoning. Please see [Usage Recommendations](https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1#quick-start-and-usage-recommendations) for more.
Pricing
💱 匯率 USD/NTD = 32.34 · 不含稅 · 更新於 2026/07/22
Technical specifications
Quick Start
Use Llama 3.1 Nemotron Nano 8b V1 via BazaarLink API — just change the base_url:
from openai import OpenAI
client = OpenAI(
base_url="https://bazaarlink.ai/api/v1",
api_key="sk-bl-YOUR_API_KEY",
)
response = client.chat.completions.create(
model="llama-3.1-nemotron-nano-8b-v1",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://bazaarlink.ai/api/v1",
apiKey: "sk-bl-YOUR_API_KEY",
});
const response = await client.chat.completions.create({
model: "llama-3.1-nemotron-nano-8b-v1",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);Why use Llama 3.1 Nemotron Nano 8b V1 via BazaarLink?
- ✓USD billing (TWD-quoted) + unified invoices — no foreign credit card needed for Taiwan teams
- ✓OpenAI-compatible API — zero code changes required
- ✓Automatic failover — multi-provider redundancy for the same model
- ✓Chinese-language support — local team, instant help
Frequently Asked Questions
What is Llama 3.1 Nemotron Nano 8b V1?
Llama-3.1-Nemotron-Nano-8B-v1 is a compact large language model (LLM) derived from Meta's Llama-3.1-8B-Instruct, specifically optimized for reasoning tasks, conversational interactions, retrieval-augmented generation (RAG), and tool-calling applications. It balances accuracy and efficiency, fitting comfortably onto a single consumer-grade RTX GPU for local deployment. The model supports extended context lengths of up to 128K tokens. Note: you must include `detailed thinking on` in the system prompt to enable reasoning. Please see [Usage Recommendations](https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1#quick-start-and-usage-recommendations) for more.
How much does the Llama 3.1 Nemotron Nano 8b V1 API cost?
Llama 3.1 Nemotron Nano 8b V1 pricing is available on this page. BazaarLink bills in TWD with no additional markup over the provider's list price.
How do I use Llama 3.1 Nemotron Nano 8b V1 with the OpenAI SDK?
Set base_url to "https://bazaarlink.ai/api/v1" and use model ID "llama-3.1-nemotron-nano-8b-v1". All OpenAI SDK methods (chat.completions, embeddings, streaming) work without code changes.
What is the context window for Llama 3.1 Nemotron Nano 8b V1?
Llama 3.1 Nemotron Nano 8b V1 supports a context window of 131,072 tokens.
Is Llama 3.1 Nemotron Nano 8b V1 available for free?
Llama 3.1 Nemotron Nano 8b V1 is a paid model. BazaarLink offers free trial credits on registration so you can test it without a credit card.