granite-3.3-8b-math-prm-v2
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探索 AI 模型 84999
granite-3.3-8b-rag-agent-lib
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查看详情 ↗granite-3b-code-base-128k
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查看详情 ↗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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查看详情 ↗granite-3b-code-base-2k-GGUF
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查看详情 ↗granite-3b-code-instruct-2k-GGUF
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查看详情 ↗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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查看详情 ↗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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查看详情 ↗granite-4.0-1b-base-GGUF
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查看详情 ↗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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查看详情 ↗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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查看详情 ↗granite-4.0-1b-speech-GGUF
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查看详情 ↗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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查看详情 ↗granite-4.0-350m-base
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查看详情 ↗granite-4.0-350m-base-GGUF
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查看详情 ↗暂未找到匹配模型
可以调整厂商、分类或输入输出条件；新模型正持续收录。
COST EXPLORER
好模型，也要算好成本。
调整月度 Token 用量，直观比较不同模型的预估 API 开支。
1 M = 100 万 Token · 美元计价
仅比较同一渠道的基础文本 Token 报价
仅比较同一渠道的基础文本 Token 报价
使用已采集且单位可比的 USD / 百万 Token 渠道报价。报价为采集时快照；不计缓存优惠、阶梯价、推理额外输出与税费，请以来源的当前报价为准。
MODEL HANDBOOK
读懂模型，再做选择
API 价格应该怎么比较？+
先区分输入、输出和缓存价格，再使用同一任务和用量估算总费用。图像、音频和视频可能按张、时长或分辨率计费，不能直接与 Token 单价比较。
开放权重，就代表可以免费商用吗？+
不一定。必须逐一核对具体模型版本的许可证、商用限制及使用政策。自己部署还需要考虑显存、推理资源和运维费用。
排行榜第一，就是最适合我的模型吗？+
榜单取决于测试任务、版本与评测方法。建议用实际业务样本比较准确性、时延、稳定性和成本，再选择模型。