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OpenGPT-X · open-weights

Teuken 7B

Teuken 7B is an open-weights language model from OpenGPT-X, released August 21, 2025. It has 7B parameters (dense).

We present two multilingual LLMs, Teuken 7B-base and Teuken 7B-instruct, designed to embrace Europe's linguistic diversity by supporting all 24 official languages of the European Union.

Check it against your own PC →

Lab
OpenGPT-X
Released
August 21, 2025
Weights
Open
Parameters
7B dense
Context
–
Price / M tokens
–
Epoch ECI
not yet rated

Can you run Teuken 7B locally?

The smallest common GPU it runs on is 6 GB of VRAM (with 32 GB of RAM): Q6_K, split GPU / CPU, roughly 8 tokens per second. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.

GPU memoryVerdictBest quantVRAMRAMtok/s
6 GB VRAMRuns, slowlyQ6_K (≈ lossless)5.2 GB3.3 GB~8
8 GB VRAMRuns on GPUQ4_K_M (very good)7.0 GB–~37
12 GB VRAMRuns on GPUQ6_K (≈ lossless)8.5 GB–~36
16 GB VRAMRuns on GPUQ6_K (≈ lossless)8.5 GB–~50
24 GB VRAMRuns on GPUQ6_K (≈ lossless)8.5 GB–~89
32 GB VRAMRuns on GPUQ6_K (≈ lossless)8.5 GB–~160

Benchmark results

Epoch AI has not published results for Teuken 7B yet. New models are usually evaluated within days to weeks.

Links

Announcement

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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