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SamsungSAILMontreal/Qwen3-4B-Instruct-2507-Math-Fr
Qwen3-4B-Instruct-2507-Math-Fr is a text generation model from SamsungSAILMontreal. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
This model is obtained by merging SamsungSAILMontreal/Qwen3-4B-Instruct-2507-Math and SamsungSAILMontreal/Qwen3-4B-Instruct-2507-Fr. The model is used in the experiments described in https://bknyaz.github.io/blog/2026…
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From the Hugging Face model README
This model is obtained by merging SamsungSAILMontreal/Qwen3-4B-Instruct-2507-Math and SamsungSAILMontreal/Qwen3-4B-Instruct-2507-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:
Merging was done using parameter averaging implemented in merge_qwen.py.
Evaluation was done with lm_eval on the test split of gsm8k, french_bench (avg score) 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.
| Model | gsm8k | french | gsm8k-fr | avg |
|---|---|---|---|---|
| Qwen3-4B-Instruct-2507 | 80.4 | 43.1 | 66.0 | 63.2 |
| Qwen3-4B-Instruct-2507-Math | 76.8 | 43.0 | 65.3 | 61.7 |
| Qwen3-4B-Instruct-2507-Fr | 72.3 | 45.7 | 60.7 | 59.6 |
| Qwen3-4B-Instruct-2507-Math-Fr | 81.3 | 45.0 | 70.6 | 65.6 |
Please refer to the license of the base models SamsungSAILMontreal/Qwen3-4B-Instruct-2507-Math and SamsungSAILMontreal/Qwen3-4B-Instruct-2507-Fr.