Lucie 7B vs Teuken 7B Instruct

The two models at a glance

About Lucie 7B

A French-sovereign 7B model from OpenLLM-France, backed by CNRS and LINAGORA, with a fully transparent and auditable training corpus. Strengths: Full European data sovereignty story, Publicly available training corpus, Strong formal French output, Backed by CNRS and LINAGORA.

About Teuken 7B Instruct

A German government-funded (BMWK) 7B from OpenGPT-X covering all 24 EU languages. The commercial variant is Apache 2.0; the research-v0.4 variant has restricted terms. Strengths: Built for EU sovereignty, Covers all 24 official EU languages, Apache 2.0 commercial variant available, German government (BMWK) backing.

How they compare

Lucie 7B comes from OpenLLM-France and Teuken 7B Instruct from OpenGPT-X, they belong to the Lucie and Teuken families respectively. This comparison is built entirely from structured specs — parameter count, VRAM by quantization, context window, license, and published benchmark scores — so the verdict below reflects measurable differences rather than marketing claims.

Lucie 7B and Teuken 7B Instruct share the same 7B parameter class. Both need about 5 GB of VRAM at a Q4 quantization, so they fit the same GPU tier.

The two models target different sweet spots: Lucie 7B is tuned for chat, fr, while Teuken 7B Instruct leans toward chat, general, multilingual, fr. Match the model to your dominant workload rather than to raw size.

Memory, quantization & throughput

Across quantization levels, Lucie 7B requires Q4 ≈ 5 GB, Q5 ≈ 6 GB, Q8 ≈ 9 GB, FP16 ≈ 16 GB, while Teuken 7B Instruct requires Q4 ≈ 5 GB, Q5 ≈ 6 GB, Q8 ≈ 9 GB, FP16 ≈ 14 GB. In practice Lucie 7B fits an 8 GB card at Q4, so plan your GPU around the Q4 or Q5 figure unless you specifically need the higher fidelity of Q8 or FP16.

Without a GPU, Lucie 7B needs roughly 8 GB of system RAM to run on CPU and Teuken 7B Instruct about 10 GB — workable for offline use but far slower than GPU inference. On a mid-range GPU you can expect on the order of 35 tokens/sec from Lucie 7B and 35 from Teuken 7B Instruct, scaling up to 90 and 90 tokens/sec on high-end hardware.

Which fits your GPU

Here is the highest-quality quantization of each model that fits common GPU memory budgets, so you can match Lucie 7B or Teuken 7B Instruct to the card you actually own:

• On a 8 GB GPU: Lucie 7B runs at Q5 (6 GB); Teuken 7B Instruct runs at Q5 (6 GB).
• On a 12 GB GPU: Lucie 7B runs at Q8 (9 GB); Teuken 7B Instruct runs at Q8 (9 GB).
• On a 16 GB GPU: Lucie 7B runs at FP16 (16 GB); Teuken 7B Instruct runs at FP16 (14 GB).
• On a 24 GB GPU: Lucie 7B runs at FP16 (16 GB); Teuken 7B Instruct runs at FP16 (14 GB).

Benchmark scores

Reported benchmarks for Lucie 7B: MMLU (fr) 54.2, FrenchBench 68.

Bottom line: which should you pick?

• Pick Teuken 7B Instruct if your workload is general, multilingual.

Which GPU should you buy to run Lucie 7B?

To run Lucie 7B locally at Q4, you need ~5 GB of VRAM. The best value for this is a RTX 5060 (8 GB VRAM).

Frequently asked questions

What is the difference between Lucie 7B and Teuken 7B Instruct?

The headline differences: both are 7B models; they ship under different licenses (Apache 2.0 vs Apache 2.0 (commercial)). Below we break down VRAM by quantization, benchmark scores, and a use-case verdict so you can pick the right one.

Can Lucie 7B and Teuken 7B Instruct run on a 24 GB GPU?

At a Q4 quantization, Lucie 7B needs about 5 GB of VRAM and fits comfortably on a 24 GB GPU; Teuken 7B Instruct needs about 5 GB and fits comfortably on a 24 GB GPU. Both have the same Q4 footprint.

What licenses do Lucie 7B and Teuken 7B Instruct use?

Lucie 7B is licensed under Apache 2.0 and Teuken 7B Instruct under Apache 2.0 (commercial).