AfriqueQwen3.5-4B-50Langs-Instruct-v1
Post-trained version (v1) of McGill-NLP/AfriqueQwen3.5-4B-50Langs.
Performance
| Model | Params | AfriMGSM | AfriMMLU | AfriXNLI | Belebele | Injongo | SIB-200 | FLORES | Overall |
|---|---|---|---|---|---|---|---|---|---|
| Apertus-8B-Instruct-2509 | 8B | 12.7 | 35.1 | 34.4 | 42.5 | 11.8 | 67.7 | 43.5 | 35.4 |
| Gemma-3-4B-it | 4B | 20.4 | 35.7 | 48.4 | 47.9 | 28.7 | 67.1 | 33.5 | 40.3 |
| tiny-aya-earth | 3.35B | 19.6 | 41.3 | 55.4 | 54.4 | 17.4 | 69.5 | 42.0 | 42.8 |
| Qwen3.5-4B | 4B | 41.5 | 41.8 | 51.5 | 52.8 | 35.1 | 71.5 | 44.4 | 48.4 |
| Sunflower-Qwen3.5-9B | 9B | 19.9 | 41.8 | 50.5 | 62.7 | 55.0 | 78.3 | 62.3 | 52.9 |
| AfriqueQwen3.5-4B-Instruct-v1 | 4B | 51.4 | 46.3 | 62.4 | 65.2 | 59.1 | 80.4 | 57.8 | 60.4 |
| AfriqueQwen3.5-4B-Instruct-v2 | 4B | 50.8 | 46.4 | 63.6 | 66.2 | 58.7 | 81.2 | 62.3 | 61.3 |
| AfriqueQwen3.5-4B-50Langs-Instruct-v1 | 4B | 54.2 | 45.4 | 62.2 | 66.9 | 58.1 | 81.5 | 62.9 | 61.6 |
For Flores, we use SSA-COMET (Li et al., 2025); for AfriMGSM, we detect the number inside the \boxed{} or the last number in the entire output; for multiple-choice questions, we use exact match.
Usage
Served with vLLM. The checkpoint declares Qwen3_5ForConditionalGeneration but carries no
vision weights (426 language-model tensors, lm_head tied to the embeddings, 0 visual), so
--language-model-only is required.
vllm serve McGill-NLP/AfriqueQwen3.5-4B-50Langs-Instruct-v1 --language-model-only --max-model-len 12288 --port 8000
curl http://127.0.0.1:8000/v1/chat/completions -H 'Content-Type: application/json' -d '{
"model": "McGill-NLP/AfriqueQwen3.5-4B-50Langs-Instruct-v1",
"messages": [
{"role": "system", "content": "Wewe ni msaidizi mwenye manufaa ambaye hutatua matatizo ya hisabati yaliyoandikwa kwa maneno.\nTafadhali toa hoja hatua kwa hatua kwa Kiswahili, na uweke jibu lako la mwisho ndani ya \\boxed{}."},
{"role": "user", "content": "Sandy hupata $15 kwa saa. Alifanya kazi saa 10 Ijumaa. Alipata pesa ngapi?"}
],
"temperature": 0.7, "top_p": 0.8, "top_k": 20, "presence_penalty": 1.5, "max_tokens": 10240
}'
Hatua ya 1: Sandy hupata $15 kwa saa.
Hatua ya 2: Sandy alifanya kazi saa 10 Ijumaa.
Hatua ya 3: Jumla ya Mapato = $15/saa x saa 10
Hatua ya 4: $15 x 10 = $150
Sandy alipata $150 kwa kufanya kazi saa 10.
Recommendation Prompting and Setting
Mathematics
English
You are a helpful assistant that solves math word problems.
Please reason step by step in English, and put your final answer within \boxed{}.
For other languages, replace the part after "step by step in" with the target language, and translate it into the target language, for example Swahili:
Wewe ni msaidizi mwenye manufaa ambaye hutatua matatizo ya hisabati yaliyoandikwa kwa maneno.
Tafadhali toa hoja hatua kwa hatua kwa Kiswahili, na uweke jibu lako la mwisho ndani ya \boxed{}.
| Setting | Mathematics | Other tasks |
|---|---|---|
enable_thinking | true | false |
temperature | 0.7 | 0 (greedy) |
top_p | 0.8 | — |
top_k | 20 | — |
min_p | 0 | — |
presence_penalty | 1.5 | 0 |
repetition_penalty | 1.0 | 1.0 |
max_tokens | 10240 | 1024 |
--max-model-len | 12288 | 8192 |
Other tasks
Translation:
Translate the following sentence from {source language} to {target language}.
{source language}: {sentence}
{target language}:
Multiple choice:
Answer the multiple-choice question by replying with ONLY the letter
(A, B, C, or D) of the correct answer.
Question: {question}
A. {A}
B. {B}
C. {C}
D. {D}
Answer: