 | Model Summary: Granite-4.1-8B is a 8B parameter long-context instruct model finetuned from Granite-4.1-8B-Base using a combination of open source instruction datasets with permissive license and internally collected synthetic datasets. Granite 4.1 models have gone through an improved post-training pipeline, including supervised finetuning and reinforcement learning alignment, resulting in enhanced tool calling, instruction following, and chat capabilities.
Supported Languages: English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese. Users may finetune Granite 4.1 models for languages beyond these languages. Intended use: The model is designed to follow general instructions and can serve as the foundation for AI assistants across diverse domains, including business applications, as well as for LLM agents equipped with tool-use capabilities. Capabilities
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ibm-granite/granite-4.1-8b · Hugging Face
Reddit r/LocalLLaMA / 4/22/2026
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Key Points
- IBM’s Granite-4.1-8B is an 8B-parameter long-context instruction-tuned model fine-tuned from Granite-4.1-8B-Base using open-source instruction datasets under permissive licenses plus internally collected synthetic data.
- The Granite 4.1 models received an improved post-training pipeline, including supervised fine-tuning and reinforcement learning alignment to strengthen tool calling, instruction following, and chat performance.
- The release is hosted via Hugging Face (with an accompanying IBM/HF collection, technical blog, GitHub repo, and Granite docs) and is licensed under Apache 2.0, enabling developers to fine-tune it further.
- The model supports many languages out of the box (including Japanese) and is positioned for general-purpose instruction following, business assistant use cases, and tool-using LLM agent scenarios.
- Granite-4.1-8B targets capabilities such as summarization, classification, extraction, question answering, RAG, code-related tasks, function calling, multilingual dialogue, and FIM code completion.
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