granite-3.3-8b-math-prm-v2
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granite-3.3-8b-rag-agent-lib
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View details ↗granite-3.3-8b-security-lib
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View details ↗granite-34b-code-base-8k
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View details ↗granite-34b-code-base-8k-GGUF
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View details ↗granite-34b-code-instruct-8k
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View details ↗granite-34b-code-instruct-8k-GGUF
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View details ↗granite-34b-code-instruct-accelerator
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View details ↗granite-3b-code-base-128k
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View details ↗granite-3b-code-base-2k
ibm-graniteNew applications/projects should use the latest mainline Granite language model family, whose code capabilities supercede this model. This model is being made available strictly for historical/scientific purposes. **Please see our Granite Collections for the latest Granite releases.** **Granite-3B-Code-Base-2K** is a decoder-only code model designed for code generative tasks (e.g., code generation, code explanation, code fixing, etc.). It is trained from scratch with a two-phase training strategy. In phase 1, our model is trained on 4 trillion tokens sourced from 116 programming languages, ensuring a comprehensive understanding of programming languages and syntax. In phase 2, our model is trained on 500 billion tokens with a carefully designed mixture of high-quality data from code and natural language domains to improve the models’ ability to reason and follow instructions. - **Developers:** IBM Research - **GitHub Repository:** ibm-granite/granite-code-models - **Paper:** Granite Code Models: A Family of Open Foundation Models for Code Intelligence - **Release Date**: May 6th, 2024 - **License:** Apache 2.0.
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View details ↗granite-3b-code-base-2k-GGUF
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View details ↗granite-3b-code-instruct-128k
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View details ↗granite-3b-code-instruct-2k-GGUF
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View details ↗granite-3b-code-instruct-accelerator
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View details ↗granite-4.0-1b
ibm-granite**Model Summary:** Granite-4.0-1B is a lightweight instruct model finetuned from *Granite-4.0-1B-Base* using a combination of open source instruction datasets with permissive license and internally collected synthetic datasets. This model is developed using a diverse set of techniques including supervised finetuning, reinforcement learning, and model merging. - **Developers:** Granite Team, IBM - **HF Collection:** Granite 4.0 Nano Language Models HF Collection - **GitHub Repository:** ibm-granite/granite-4.0-nano-language-models - **Website**: Granite Docs - **Release Date**: October 28, 2025 - **License:** Apache 2.0 **Supported Languages:** English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese. Users may fine-tune Granite 4.0 Nano models to support languages beyond those included in this list.
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View details ↗granite-4.0-1b-base
ibm-granite**Model Summary:** Granite-4.0-1B-Base is a lightweight decoder-only language model designed for scenarios where efficiency and speed are critical. They can run on resource-constrained devices such as smartphones or IoT hardware, enabling offline and privacy-preserving applications. It also supports Fill-in-the-Middle (FIM) code completion through the use of specialized prefix and suffix tokens. The model 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. - **Developers:** Granite Team, IBM - **HF Collection:** Granite 4.0 Nano Language Models HF Collection - **GitHub Repository:** ibm-granite/granite-4.0-nano-language-models - **Website**: Granite Docs - **Release Date**: October 28, 2025 - **License:** Apache 2.0 **Supported Languages:** English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese. Users may fine-tune Granite 4.0 Nano models to support languages beyond those included in this list.
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View details ↗granite-4.0-1b-base-GGUF
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View details ↗granite-4.0-1b-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-4.0-1b This model often uses the full numerical range of a 32-bit float (`f32`), so variants with smaller numerical ranges may run into precision errors at inference. The `F16` variant is known to fail on many hardware combinations.
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View details ↗granite-4.0-1b-speech
ibm-granite**Model Summary:** Granite-4.0-1b-speech is a compact and efficient speech-language model, specifically designed for multilingual automatic speech recognition (ASR) and bidirectional automatic speech translation (AST). The model was trained on a collection of public corpora comprising of diverse datasets for ASR and AST as well as synthetic datasets tailored to support Japanese ASR, keyword-biased ASR and speech translation. Granite-4.0-1b-speech was trained by modality aligning granite-4.0-1b-base to speech on publicly available open source corpora containing audio inputs and text targets. Compared to granite-speech-3.3-2b and granite-speech-3.3-8b, this model has the following additional capabilities and improvements: * Supports multilingual speech inputs in English, French, German, Spanish, Portuguese and Japanese, * Provides higher transcription accuracy for English ASR and faster inference through better encoder training and speculative decoding, * Has half the number of parameters of granite-speech-3.3-2b for running on resource-constrained devices, * Adds keyword list biasing capability for enhanced name and acronym recognition We evaluated granite-4.0-1b-speech alongside other speech-language models in the less than 8b parameter range as well as dedicated ASR and AST systems on standard benchmarks. The evaluation spanned multiple public benchmarks, with particular emphasis on English ASR tasks while also including multilingual ASR and AST for X-En and En-X translations.
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View details ↗granite-4.0-1b-speech-GGUF
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View details ↗granite-4.0-350m
ibm-granite**Model Summary:** Granite-4.0-350M is a lightweight instruct model finetuned from *Granite-4.0-350M-Base* using a combination of open source instruction datasets with permissive license and internally collected synthetic datasets. This model is developed using a diverse set of techniques including supervised finetuning, reinforcement learning, and model merging. - **Developers:** Granite Team, IBM - **HF Collection:** Granite 4.0 Nano Language Models HF Collection - **GitHub Repository:** ibm-granite/granite-4.0-nano-language-models - **Website**: Granite Docs - **Release Date**: October 28, 2025 - **License:** Apache 2.0 **Supported Languages:** English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese. Users may fine-tune Granite 4.0 Nano models to support languages beyond those included in this list.
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View details ↗granite-4.0-350m-base
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View details ↗granite-4.0-350m-base-GGUF
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