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Qwen3.5 27B GPTQ Int4

Instantly via the EU router or as a dedicated GPU deployment. Data stays in Europe.

[!Note] This repository contains int4-quantized model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

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Qwen/Qwen3.5-27B-GPTQ-Int4 vLLM ready
text+image->text · Qwen · EU-hosted
28B
Parameters
—
Context window
64GB
Minimum VRAM
POST /api/v1/chat/completions200 OK

Specifications

Parameters 28B
Minimum VRAM 64 GB
Architecture Qwen3_5ForConditionalGeneration (vLLM)
License apache-2.0
Modality text+image->text
Released March 2026
Publisher Qwen ↗

Pricing

€0.25
Input (per 1M tokens)
€0.40
Output (per 1M tokens)

Shared EU router, pay-per-token, scale-to-zero. Dedicated GPU deployments are billed hourly — see pricing.

✓ Verified working on 24-06-2026 — responded in 2395 ms on our EU infrastructure.

Call it now

Drop-in replacement for OpenAI: change only the base URL and API key. The Anthropic format (/v1/messages) is supported too.

curl https://hostyourai.com/api/v1/chat/completions \
  -H "Authorization: Bearer hyai-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Qwen/Qwen3.5-27B-GPTQ-Int4",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Frequently asked questions

Can I run Qwen3.5 27B GPTQ Int4 in the EU?

Yes. HostYourAI runs Qwen3.5 27B GPTQ Int4 on GPUs in European datacenters via vLLM. Prompts and outputs never leave the EU and there is no US cloud provider in the chain.

Is hosting Qwen3.5 27B GPTQ Int4 GDPR-compliant?

Yes. All processing happens inside the EU, a Data Processing Agreement (DPA) is available and the subprocessor list is public. Open-source weights also mean: no training on your data.

How much does Qwen3.5 27B GPTQ Int4 cost?

Via the shared EU router you pay €0.25 per million input tokens and €0.40 per million output tokens, with no fixed costs. For high volume or isolation you can also run Qwen3.5 27B GPTQ Int4 as a dedicated hourly GPU instance.

Is the API OpenAI-compatible?

Yes. You use the standard OpenAI SDKs with a custom base URL (https://hostyourai.com/api/v1). The Anthropic Messages API is supported as a drop-in as well.

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[!Note] This repository contains FP8-quantized model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc. The quantization method is fine-grained fp8 quantization with block size of 128, and its performance metrics are nearly identical to those of the original model.

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