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Qwerky 72b

Qrwkv-72B is a linear-attention RWKV variant of the Qwen 2.5 72B model, optimized to significantly reduce computational cost at scale. Leveraging linear attention, it achieves substantial inference speedups (>1000x) while retaining competitive accuracy on common benchmarks like ARC, HellaSwag, Lambada, and MMLU. It inherits knowledge and language support from Qwen 2.5, supporting approximately 30 languages, making it suitable for efficient inference in large-context applications.

Pricing

Input Price
/ 1M tokens
Output Price
/ 1M tokens
Context Window
33K
tokens

💱 匯率 USD/NTD = 32.34 · 不含稅 · 更新於 2026/07/22

ProviderQfeatherless
Released2025年3月
Model IDqwerky-72b

Technical specifications

Context window
33K tokens
Reasoning
Input
Text
Output
Text
!
此模型已下架 — API 呼叫會回傳 HTTP 410,但本頁面保留以利歷史查詢

Quick Start

Use Qwerky 72b via BazaarLink API — just change the base_url:

Python
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="qwerky-72b",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
TypeScript
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: "qwerky-72b",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Why use Qwerky 72b 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
Try Now← All Models

Frequently Asked Questions

What is Qwerky 72b?

Qrwkv-72B is a linear-attention RWKV variant of the Qwen 2.5 72B model, optimized to significantly reduce computational cost at scale. Leveraging linear attention, it achieves substantial inference speedups (>1000x) while retaining competitive accuracy on common benchmarks like ARC, HellaSwag, Lambada, and MMLU. It inherits knowledge and language support from Qwen 2.5, supporting approximately 30 languages, making it suitable for efficient inference in large-context applications.

How much does the Qwerky 72b API cost?

Qwerky 72b pricing is available on this page. BazaarLink bills in TWD with no additional markup over the provider's list price.

How do I use Qwerky 72b with the OpenAI SDK?

Set base_url to "https://bazaarlink.ai/api/v1" and use model ID "qwerky-72b". All OpenAI SDK methods (chat.completions, embeddings, streaming) work without code changes.

What is the context window for Qwerky 72b?

Qwerky 72b supports a context window of 32,768 tokens.

Is Qwerky 72b available for free?

Qwerky 72b is a paid model. BazaarLink offers free trial credits on registration so you can test it without a credit card.

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