Kurakurai French LLM - IFEval: leaderboard

Evaluates small French-language models on the Kurakurai French LLM leaderboard, a static board of French translations and French subsets of standard benchmarks, filtered by size class up to about 4B parameters. Scores are percentages averaged over ten sampling seeds, decoded at temperature 0.6, top_p 0.95, top_k 20, with thinking disabled and 16k context. This series is IFEval instruction following, scored prompt-level strict. These are French scores, comparable to each other but not to published English numbers for the same models. This series reports Kurakurai French LLM - IFEval using Accuracy (%).

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Around February 2027. 42 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 4B 2507 Instruct79.45#768
2Gemma 4 E2B (IT)75.87#779
3Granite 4.1 3B75.87#899
4Qwen 3.5 4B74.26#514
5Gemma 3 4B (IT)72.81#997
6LFM2.5-1.2B Instruct72.64#1451
7granite-4.0-h-micro72.55#1078
8LFM2 2.6B68.26#1313
9SmolLM3-3B66.55#1239
10Phi-4 Mini Instruct64.09#1232
11Luth-LFM2-1.2B64.09#1386
12Qwen 3.5 2B61.91#1114
13Qwen 3 1.7B61.02#1175
14LFM2 1.2B59.53#1482
15Tiny Aya Global57.15#1303

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=kurakurai-french-llm-ifeval · How It Works · Data refreshed daily, snapshot 2026-11-05.