Leaderboard / OpenLLM-France (Luciole)
Luciole 23B Thinking
OpenLLM-France (Luciole) · Luciole · released 2026-09-09 · data checked 2026-11-01
Luciole 23B Thinking is a 23.2B-parameter dense model from OpenLLM-France (Luciole) (Europe), released 2026-09-09 under the Apache-2.0 license. It doesn't have enough reported benchmarks for an index score yet. It needs about 16.4 GB of memory at 4-bit with an 8K-token context.
French-English model trained on the Jean Zay public supercomputer. Results are published as charts.
Benchmarks
Each bar shows this model's score. The tick marks the best medium model on that benchmark.
No benchmark results for this release yet. Know of one? Send it.
Specifications
- Lab
- OpenLLM-France (Luciole) (FR · Europe)
- Architecture
- Dense transformer
- Total parameters
- 23.2B
- Active parameters
- All (dense)
- Size class
- Medium
- Context window
- 131K tokens
- Input modalities
- text
- Reasoning
- Reasoning (thinking)
- License
- Apache-2.0
- Openness
- Open weights
- Memory to run
- ~16.4 GB at 4-bit, 8K context (more sizes)
- Hugging Face
- 131 downloads (30 days) · 6 likes
Compare with
- Luciole 23B Thinking vs EuroLLM 22B Instruct (22.6B, index 19.2)
- Luciole 23B Thinking vs LFM2.5 24B-A2B (24B, index 61.4)
- Luciole 23B Thinking vs Magistral Small 1.2 (24B, index 55.9)
Sources
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Run it locally
Uses OpenLLM-France/Luciole-23B-Thinking-1.1-GGUF (Q4_K_M). Swap the tag for another size: BF16, Q4_K_M, Q5_K_M, Q8_0.
ollama run hf.co/OpenLLM-France/Luciole-23B-Thinking-1.1-GGUF:Q4_K_Mllama-server -hf OpenLLM-France/Luciole-23B-Thinking-1.1-GGUF:Q4_K_Mvllm serve OpenLLM-France/Luciole-23B-Thinking-1.1Memory needed: weights, context cache and runtime buffers.
| Quantization | 4K context | 32K context | 131K context |
|---|---|---|---|
| 16-bit F16 | 48 GB | 53 GB | 69 GB |
| 8-bit Q8_0 | 26 GB | 31 GB | 47 GB |
| 4-bit Q4_K_M | 16 GB | 20 GB | 36 GB |