granite-4.0-micro-base
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granite-4.0-micro-base-GGUF
ibm-granite基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗granite-4.0-micro-GGUF
ibm-granite> [!NOTE] > This repository contains models that have been converted to the GGUF format with various quantizations from an IBM Granite base model. > > Please reference the base model's full model card here: > https://huggingface.co/ibm-granite/granite-4.0-micro
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View details ↗granite-4.0-tiny-base-preview
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View details ↗granite-4.0-tiny-base-preview-GGUF
ibm-granite基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗granite-4.0-tiny-preview
ibm-granite**Model Summary:** Granite-4-Tiny-Preview is a 7B parameter fine-grained hybrid mixture-of-experts (MoE) instruct model fine-tuned from Granite-4.0-Tiny-Base-Preview using a combination of open source instruction datasets with permissive license and internally collected synthetic datasets tailored for solving long context problems. This model is developed using a diverse set of techniques with a structured chat format, including supervised fine-tuning, and model alignment using reinforcement learning. - **Developers:** Granite Team, IBM - **Website**: Granite Docs - **Release Date**: May 2nd, 2025 - **License:** Apache 2.0 **Supported Languages:** English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese. However, users may fine-tune this Granite model for languages beyond these 12 languages.
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View details ↗granite-4.0-tiny-preview-GGUF
ibm-granite基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗granite-4.1-30b
ibm-granite**Model Summary:** Granite-4.1-30B is a 30B parameter long-context instruct model finetuned from *Granite-4.1-30B-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. - **Developers:** Granite Team, IBM - **HF Collection:** Granite 4.1 Language Models HF Collection - **Technical Blog:** Granite-4.1 Blog - **GitHub Repository:** ibm-granite/granite-4.1-language-models - **Website**: Granite Docs - **Release Date**: April 29th, 2026 - **License:** Apache 2.0 **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.
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View details ↗granite-4.1-30b-base
ibm-granite基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗granite-4.1-30b-fp8
ibm-granite基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗granite-4.1-30b-GGUF
ibm-granite基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗granite-4.1-3b
ibm-granite**Model Summary:** Granite-4.1-3B is a 3B parameter long-context instruct model finetuned from *Granite-4.1-3B-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. - **Developers:** Granite Team, IBM - **HF Collection:** Granite 4.1 Language Models HF Collection - **Technical Blog:** Granite-4.1 Blog - **GitHub Repository:** ibm-granite/granite-4.1-language-models - **Website**: Granite Docs - **Release Date**: April 29th, 2026 - **License:** Apache 2.0 **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.
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View details ↗granite-4.1-3b-base
ibm-granite**Model Summary:** Granite‑4.1‑3B‑Base is a decoder‑only language model with long‑context capabilities, designed to support a broad range of general text‑to‑text generation tasks, as well as fill‑in‑the‑Middle (FIM) code completion. This model shares the same underlying architecture and weights as Granite 4.0 3B Micro, which is trained from scratch on approximately 15 trillion tokens following a four-stage training strategy: 10 trillion tokens in the first stage, 2 trillion in the second, another 2 trillion in the third, and 0.5 trillion in the final stage. An additional training phase is applied to expand the model’s context window to 512K tokens. **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:** Prominent use cases of LLMs in text-to-text generation include summarization, text classification, extraction, question-answering, code-completion (including FIM), and long-context generation tasks. All Granite Base models are able to handle these tasks as they were trained on a large amount of data from various domains. Moreover, they can serve as baseline to create specialized models for specific application scenarios.
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View details ↗granite-4.1-3b-fp8
ibm-granite基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗granite-4.1-3b-GGUF
ibm-granite> [!NOTE] > This repository contains models that have been converted to the GGUF format with various quantizations from an IBM Granite `.safetensors` model. > > Please reference the base model's full model card here: > https://huggingface.co/ibm-granite/granite-4.1-3b
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View details ↗granite-4.1-8b
ibm-granite**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. - **Developers:** Granite Team, IBM - **HF Collection:** Granite 4.1 Language Models HF Collection - **Technical Blog:** Granite-4.1 Blog - **GitHub Repository:** ibm-granite/granite-4.1-language-models - **Website**: Granite Docs - **Release Date**: April 29th, 2026 - **License:** Apache 2.0 **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.
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View details ↗granite-4.1-8b-base
ibm-granite**Model Summary:** Granite‑4.1‑8B‑Base is a decoder‑only language model with long‑context capabilities, designed to support a broad range of text‑to‑text generation tasks. In addition to standard generation, it supports Fill‑in‑the‑Middle (FIM) code completion through specialized prefix and suffix tokens. The model is trained from scratch on approximately 15 trillion tokens using a five‑phase training strategy: 10 trillion tokens in phase one, 2 trillion tokens each in phases two and three, and 0.5 trillion tokens in phase four. In the final phase, long‑context extension is applied to expand the model’s context window to 512K tokens. **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:** Prominent use cases of LLMs in text-to-text generation include summarization, text classification, extraction, question-answering, code-completion (including FIM), and long-context generation tasks. All Granite Base models are able to handle these tasks as they were trained on a large amount of data from various domains. Moreover, they can serve as baseline to create specialized models for specific application scenarios.
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View details ↗granite-4.1-8b-fp8
ibm-granite> [!NOTE] > This repository contains the FP8 version of **4.1-8B**. > > Please refer to the the original instruct model's model card for additional details: > https://huggingface.co/ibm-granite/granite-4.1-8b
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View details ↗granite-4.1-8b-GGUF
ibm-granite> [!NOTE] > This repository contains models that have been converted to the GGUF format with various quantizations from an IBM Granite `.safetensors` model. > > Please reference the base model's full model card here: > https://huggingface.co/ibm-granite/granite-4.1-8b
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View details ↗granite-4.2-30b
ibm-graniteGranite is a family of open-source large language models developed by IBM, designed for enterprise and research use. Granite models are built to be versatile, safe, and efficient — covering a range of sizes and capabilities from compact edge-deployable models to large-scale reasoning systems. All Granite models are released under the Apache 2.0 license, enabling unrestricted commercial and academic use. The Granite 4.2 generation introduces native reasoning (thinking) capabilities, allowing models to perform step-by-step chain-of-thought reasoning before producing final answers. This significantly improves performance on complex math, coding, multi-step logic, and agentic tool-calling tasks. **Granite-4.2-30B** is the flagship reasoning model in the Granite 4.2 family. It delivers the strongest performance across reasoning-intensive tasks by leveraging built-in ` ... ` chain-of-thought. It supports flexible thinking modes — full thinking (default), non-thinking, and low-effort — allowing users to balance depth vs. latency on a per-query basis.
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View details ↗granite-4.2-30b-bf16-mlx
ibm-granite基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗granite-4.2-30b-fp8
ibm-granite基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗granite-4.2-30b-GGUF
ibm-granite> [!NOTE] > This repository contains models that have been converted to the GGUF format with various quantizations from an IBM Granite base model. > > Please reference the base model's full model card here: > https://huggingface.co/ibm-granite/granite-4.2-30b
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View details ↗granite-4.2-30b-mxfp4
ibm-granite基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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