ALLaM-2-7b

ALLaM-2-7b is an Arabic-English instruction checkpoint from SDAIA’s National Center for Artificial Intelligence. The official model card is named ALLaM-7B-Instruct-preview and describes a 7B model trained from scratch with a 4,096-token context. Pretraining combines 4 trillion English tokens with 1.2 trillion mixed English and Arabic tokens, followed by instruction and preference data.

ALLaM-2-7b is documented for Arabic-English language tooling rather than as a general 7B chatbot. The card shows an optional custom system prompt, although the model is optimized to work without a predefined prompt. The preview remains limited to 4K context and separates instruction and preference data in its post-training description.