bknyaz/Qwen3-0.6B-Math-Fr

Qwen3-0.6B-Math-Fr

This model is obtained by merging SamsungSAILMontreal/Qwen3-0.6B-Math and 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.

Evaluation

Evaluation was done with lmeval on the test split of [gsm8k](https://huggingface.co/datasets/openai/gsm8k), [frenchbench (avg score)](https://github.com/EleutherAI/lm-evaluation-harness/tree/main/lmeval/tasks/frenchbench) and gsm8k-fr:

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

License

Please refer to the license of the base models SamsungSAILMontreal/Qwen3-0.6B-Math and SamsungSAILMontreal/Qwen3-0.6B-Fr.