Model garden On request

Loes

This model runs as a dedicated deployment on large GPUs and isn't in the shared playground by default. Get in touch and we'll set it up for you.

Sovereign EU model fine-tuned by HostYourAI on dutch-clean.

hyai/loes On request
text->text · hostyourai · EU-hosted
7B
Parameters
Context window
24GB
Minimum VRAM
POST /api/v1/chat/completions On request

Specifications

Parameters 7B
Minimum VRAM 24 GB
License apache-2.0
Modality text->text
Publisher hostyourai ↗

Pricing

€0.05
Input (per 1M tokens)
€0.12
Output (per 1M tokens)

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

Not available on the shared router. Pricing on request as a dedicated GPU deployment.

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": "hyai/loes",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Frequently asked questions

Can I run Loes in the EU?

Yes. HostYourAI runs Loes 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 Loes 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 Loes cost?

Via the shared EU router you pay €0.05 per million input tokens and €0.12 per million output tokens, with no fixed costs. For high volume or isolation you can also run Loes 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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Loes isn't available by default yet. Leave your details and we'll arrange a dedicated deployment.

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