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Model garden Router · op aanvraag Dedicated · beschikbaar

Poro 34B

Dit model draait als eigen dedicated GPU-deployment, direct te starten via de wizard. Data blijft in Europa.

Poro is a 34B parameter decoder-only transformer pretrained on Finnish, English and code. It was trained on 1 trillion tokens. Poro is a fully open source model and is made available under the Apache 2.0 License.

Start gratis ← Alle modellen
LumiOpen/Poro-34B vLLM ready
text->text · LumiOpen · sovereign EU
Runs on EU infrastructure operated by European companies; US marketplace capacity is never part of this chain. Full chain
34B
Parameters
—
Contextvenster
160GB
Minimale VRAM
POST /api/v1/chat/completions Op aanvraag

Specificaties

Parameters 34B
Minimale VRAM 160 GB
Architectuur BloomForCausalLM (vLLM)
Licentie apache-2.0
Modaliteit text->text
Uitgebracht October 2023
Uitgever LumiOpen ↗

Prijzen

Gedeelde router · per token
Op aanvraag
Niet beschikbaar op de gedeelde router. Prijs op aanvraag als dedicated GPU-deployment.
Dedicated GPU · per uur
vanaf €6,97 per uur
Eigen vLLM-instance op Europese cloud (160 GB VRAM), per uur afgerekend.

Gedeelde EU-router, pay-per-token, scale-to-zero. Dedicated GPU-deployments worden per uur afgerekend, zie prijzen.

✓ Werkend geverifieerd op 01-08-2026, respons in 638 ms op onze EU-infrastructuur.

Direct aanroepen

Drop-in vervanger voor OpenAI: wijzig alleen de base-URL en de API-key. Ook het Anthropic-formaat (/v1/messages) wordt ondersteund.

curl https://hostyourai.com/api/v1/chat/completions \
  -H "Authorization: Bearer hyai-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "LumiOpen/Poro-34B",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Veelgestelde vragen

Kan ik Poro 34B in de EU draaien?

Ja. HostYourAI draait Poro 34B op GPU's in Europese datacenters via vLLM. Prompts en outputs verlaten de EU niet en er is geen Amerikaanse cloudprovider in de keten.

Is Poro 34B hosten AVG/GDPR-compliant?

Ja. Alle verwerking vindt plaats binnen de EU, er is een verwerkersovereenkomst (DPA) beschikbaar en de subprocessor-lijst is openbaar. Open-source gewichten betekenen ook: geen training op jouw data.

Wat kost Poro 34B?

Poro 34B heeft meerdere GPU's tegelijk nodig en draait daarom als dedicated deployment. Je betaalt dan per GPU-uur en niet per token. Vertel ons je volume, dan rekenen we het voor je door.

Is de API compatibel met OpenAI?

Ja. Je gebruikt de standaard OpenAI-SDK's met een aangepaste base-URL (https://hostyourai.com/api/v1). Ook de Anthropic Messages API wordt ondersteund als drop-in.

Andere modellen van LumiOpen

Llama Poro 2 8B Long Instruct

Poro 2 Long Instruct is an instruction-following chatbot model with extended context support, created through supervised fine-tuning (SFT) of the Poro 2 Long Base model followed by merging the SFT checkpoint back with the base model to preserve long-context performance. This model is designed for conversational AI applications and instruction following in both Finnish and English, with support for context lengths up to 128K tokens. It was trained on a carefully curated mix of English and Finnish instruction data.

8B 131K context Bekijk model →
Llama Poro 2 8B Long Math Reasoning RL Preview

Poro 2 8B Math Reasoning RL Preview is a specialized model focused on mathematical reasoning and problem-solving. This preview model was created through reinforcement learning (RL) on top of the Math Reasoning SFT checkpoint. This model excels at mathematical reasoning tasks but is not optimized for general conversational use or other domains.

8B 131K context Bekijk model →
Llama Poro 2 8B Long Base

Poro 2 Long Base is an 8B parameter decoder-only transformer created by extending Poro 2 8B Base from an 8K to 128K token context window using LongRoPE. The model supports both English and Finnish with an extended context window of 128K tokens. Poro 2 Long Base is released as a fully open source model under the Llama 3.1 Community License.

8B 131K context Bekijk model →
Llama Poro 2 8B Long Math Reasoning SFT Preview

Poro 2 8B Math Reasoning SFT Preview is a specialized model focused on mathematical reasoning and problem-solving. This preview model was created through supervised fine-tuning of a context-extended base model. This model excels at mathematical reasoning tasks but is not optimized for general conversational use or other domains.

8B 131K context Bekijk model →
Llama Poro 2 70B SFT

Note for most users: This is an intermediate checkpoint from our post-training pipeline. Most users should use Poro 2 70B Instruct instead, which includes an additional round of Direct Preference Optimization (DPO) for improved response quality and alignment. This SFT-only model is primarily intended for researchers interested in studying the effects of different post-training techniques.

71B 8K context Bekijk model →
Llama Poro 2 8B SFT

Note for most users: This is an intermediate checkpoint from our post-training pipeline. Most users should use Poro 2 8B Instruct instead, which includes an additional round of Direct Preference Optimization (DPO) for improved response quality and alignment. This SFT-only model is primarily intended for researchers interested in studying the effects of different post-training techniques.

8B 8K context Bekijk model →

Probeer Poro 34B gratis

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