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CodeLlama 7b Python hf

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

CodeLlama 7b Python hf is an open-source language model from Meta with 6.7B parameters, hosted on EU GPUs via an OpenAI-compatible API.

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meta-llama/CodeLlama-7b-Python-hf
text->text · meta-llama · EU-hosted
6.7B
Parameters
—
Context window
16GB
Minimum VRAM
POST /api/v1/chat/completions200 OK

Specifications

Parameters 6.7B
Minimum VRAM 16 GB
Architecture LlamaForCausalLM (vLLM)
License llama2
Modality text->text
Released March 2024
Publisher meta-llama ↗

Pricing

€0.05
Input (per 1M tokens)
€0.10
Output (per 1M tokens)

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

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": "meta-llama/CodeLlama-7b-Python-hf",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Frequently asked questions

Can I run CodeLlama 7b Python hf in the EU?

Yes. HostYourAI runs CodeLlama 7b Python hf 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 CodeLlama 7b Python hf 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 CodeLlama 7b Python hf cost?

Via the shared EU router you pay €0.05 per million input tokens and €0.10 per million output tokens, with no fixed costs. For high volume or isolation you can also run CodeLlama 7b Python hf 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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