Lucie 7B vs Qwen 2.5 VL 7B
Side-by-side specs, benchmarks, and a verdict by use case.
Updated 2026-07-13
| Spec | Lucie 7B | Qwen 2.5 VL 7B |
|---|---|---|
| Parameters | 7B | 7B |
| Author | OpenLLM-France | Alibaba |
| License | Apache 2.0 | Apache 2.0 |
| Context window | 0k | 0k |
| VRAM at Q4 | 5 GB | 6 GB |
| VRAM at Q5 | 6 GB | 7 GB |
| VRAM at Q8 | 9 GB | 10 GB |
| VRAM at FP16 | 16 GB | 18 GB |
| Use cases | chat, fr | vision, chat, general |
Verdict
Both models sit in a similar size class. The pick depends on tags, license, and benchmarks rather than raw parameter count.
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 Qwen 2.5 VL 7B
A 7B vision-language model from Alibaba with state-of-the-art results in its class, scoring 95.7 on DocVQA. Handles hour-long video, bounding-box grounding, and multilingual OCR. Strengths: State-of-the-art vision performance at the 7B tier, Excellent multilingual OCR, Long video input (over 1 hour), Apache 2.0.
How they compare
Lucie 7B comes from OpenLLM-France and Qwen 2.5 VL 7B from Alibaba, they belong to the Lucie and Qwen 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 Qwen 2.5 VL 7B share the same 7B parameter class. At Q4, Lucie 7B fits in about 5 GB of VRAM versus 6 GB for the other — a 1 GB difference that matters on consumer GPUs.
The two models target different sweet spots: Lucie 7B is tuned for chat, fr, while Qwen 2.5 VL 7B leans toward vision, chat, general. Match the model to your dominant workload rather than to raw size.
On a typical mid-range GPU, Lucie 7B pushes roughly 35 tokens/sec versus 25, so it is the more responsive choice for interactive or high-volume use. For long-context work, Qwen 2.5 VL 7B offers the bigger window (125k vs 4k tokens).
Memory, quantization & throughput
Across quantization levels, Lucie 7B requires Q4 ≈ 5 GB, Q5 ≈ 6 GB, Q8 ≈ 9 GB, FP16 ≈ 16 GB, while Qwen 2.5 VL 7B requires Q4 ≈ 6 GB, Q5 ≈ 7 GB, Q8 ≈ 10 GB, FP16 ≈ 18 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 Qwen 2.5 VL 7B 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 25 from Qwen 2.5 VL 7B, scaling up to 90 and 60 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 Qwen 2.5 VL 7B to the card you actually own:
- On a 8 GB GPU: Lucie 7B runs at Q5 (6 GB); Qwen 2.5 VL 7B runs at Q5 (7 GB).
- On a 12 GB GPU: Lucie 7B runs at Q8 (9 GB); Qwen 2.5 VL 7B runs at Q8 (10 GB).
- On a 16 GB GPU: Lucie 7B runs at FP16 (16 GB); Qwen 2.5 VL 7B runs at Q8 (10 GB).
- On a 24 GB GPU: Lucie 7B runs at FP16 (16 GB); Qwen 2.5 VL 7B runs at FP16 (18 GB).
Benchmark scores
Reported benchmarks for Lucie 7B: MMLU (fr) 54.2, FrenchBench 68.
Reported benchmarks for Qwen 2.5 VL 7B: DocVQA 95.7, ChartQA 87.3, OCRBench 86.4.
Bottom line: which should you pick?
- Pick Qwen 2.5 VL 7B for long-context work (up to 125k tokens).
- Pick Lucie 7B if your workload is fr.
- Pick Qwen 2.5 VL 7B if your workload is general, vision.
Which GPU should you buy to run Qwen 2.5 VL 7B?
To run Qwen 2.5 VL 7B locally at Q4, you need ~6 GB of VRAM. The best value for this is a RTX 5060 (8 GB VRAM).
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Frequently asked questions
What is the difference between Lucie 7B and Qwen 2.5 VL 7B?
The headline differences: both are 7B models; their context windows differ (4k vs 125k tokens). 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 Qwen 2.5 VL 7B 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; Qwen 2.5 VL 7B needs about 6 GB and fits comfortably on a 24 GB GPU. Lucie 7B is the lighter option for tight VRAM budgets.
What licenses do Lucie 7B and Qwen 2.5 VL 7B use?
Lucie 7B is licensed under Apache 2.0 and Qwen 2.5 VL 7B under Apache 2.0.
Which has the longer context window, Lucie 7B or Qwen 2.5 VL 7B?
Qwen 2.5 VL 7B has the larger context window (125k vs 4k tokens), so it handles longer documents and codebases in a single prompt.