--- library_name: transformers tags: - small-lm - math - reasoning - slm - french - merge license: apache-2.0 base_model: - SamsungSAILMontreal/Qwen3-0.6B-Math - SamsungSAILMontreal/Qwen3-0.6B-Fr language: - fr - en --- # Qwen3-0.6B-Math-Fr This model is obtained by merging [SamsungSAILMontreal/Qwen3-0.6B-Math](https://huggingface.co/SamsungSAILMontreal/Qwen3-0.6B-Math) and [SamsungSAILMontreal/Qwen3-0.6B-Fr](https://huggingface.co/SamsungSAILMontreal/Qwen3-0.6B-Fr). The model is used in the experiments described in https://bknyaz.github.io/blog/2026/meta-merge/. Single A100 was used for merging and evaluation. The following versions were used for merge/eval: - python >= 3.10 - torch : 2.9.0+cu128 - lm_eval : 0.4.9.1 - vllm : 0.11.1 - transformers : 4.57.6 - datasets : 3.2.0 - numpy : 2.2.6 ## Merging Merging was done using parameter averaging implemented in [merge_qwen.py](https://github.com/SamsungSAILMontreal/nino/blob/main/merge_qwen.py). ## Evaluation Evaluation was done with lm_eval on the test split of [gsm8k](https://huggingface.co/datasets/openai/gsm8k), [french_bench (avg score)](https://github.com/EleutherAI/lm-evaluation-harness/tree/main/lm_eval/tasks/french_bench) and [gsm8k-fr](https://huggingface.co/datasets/cmh/gsm8k_fr): ```bash python -m lm_eval --model vllm --model_args pretrained=${model},tensor_parallel_size=1,dtype=auto,gpu_memory_utilization=0.9,data_parallel_size=1 \ --tasks gsm8k,french_bench,gsm8k-fr --batch_size 1 --apply_chat_template=True --confirm_run_unsafe_code --trust_remote_code ``` To evaluate on gsm8k-fr you can use our fork https://github.com/bknyaz/lm-evaluation-harness/tree/main/lm_eval/tasks/gsm8k. ### Results | Model | gsm8k| french | gsm8k-fr | avg | |-----------------------|------|--------|----------|------| | Qwen3-0.6B | 21.0 | 24.4 | 19.6 | 21.7 | | Qwen3-0.6B-Math | 46.3 | 25.4 | 29.2 | 33.6 | | Qwen3-0.6B-Fr | 36.1 | 26.5 | 26.5 | 29.7 | | Qwen3-0.6B-Math-Fr | 48.4 | 27.4 | 33.9 | 36.6 | ## License Please refer to the license of the base models [SamsungSAILMontreal/Qwen3-0.6B-Math](https://huggingface.co/SamsungSAILMontreal/Qwen3-0.6B-Math) and [SamsungSAILMontreal/Qwen3-0.6B-Fr](https://huggingface.co/SamsungSAILMontreal/Qwen3-0.6B-Fr).