20-language African adaptation
According to the model card, the model was adapted for 20 African languages through continued pretraining on about 26B tokens, retaining English, French, Portuguese, and Arabic for forgetting mitigation.
Open Source Model Profile · McGill-NLP
AfriqueGemma-12B is a 12.19B-parameter Gemma 3 text-generation model from McGill-NLP. According to the model card, it continues pretraining of Gemma 3 12B PT for 20 African languages.
AfriqueGemma-12B is published by McGill-NLP as a gemma3-based text-generation model. The captured configuration identifies Gemma3ForConditionalGeneration and Safetensors metadata reports 12187325040 parameters. According to the model card, it continues pretraining of google/gemma-3-12b-pt on about 26B tokens for 20 African languages.
According to the model card, the model was adapted for 20 African languages through continued pretraining on about 26B tokens, retaining English, French, Portuguese, and Arabic for forgetting mitigation.
According to the model card and hub tags, the base is google/gemma-3-12b-pt, described as a causal base/pretrained model with 12B parameters.
According to the model card, the corpus combines about 22.8B African monolingual tokens with code, math, and synthetic data, trained with LLaMA-Factory, DeepSpeed ZeRO, Flash Attention 3, and BF16 mixed precision.
Captured config identifies Gemma3ForConditionalGeneration and gemma3, with Safetensors metadata reporting 12187325040 parameters and transformers support.
Card data records cc-by-4.0, and the model card states the model is released under the CC BY 4.0 License.
Source: McGill-NLP/AfriqueGemma-12B
Captured: Unknown. Processed: 2026-09-07T19:35:41.788850+00:00.
AfriqueGemma-12B Model Overview AfriqueGemma-12B is part of the AfriqueLLM suite, a collection of open language models adapted to 20 African languages through continued pre-training (CPT) on ~26B tokens . This model is based on google/gemma-3-12b-pt and has been specifically adapted for improved performance on African languages while maintaining strong capabilities in high-resource languages. Key Features Type : Causal Language Model (Base/Pre-trained) Base Model : Gemma 3 12B PT Parameters : 12B Context Length : 8,192 tokens (native) Training Tokens : ~26B tokens of carefully curated multilingual data Supported Languages AfriqueGem…
F001F002F003F004F005F006F007F008F009F010F011F012F013F014F015F016F018