MODEL PROFILE · 模型档案

granite-swash-2b

ibm-granite · granite-swash-2b

**Model Summary** Granite-SWASH-2B is a 2B parameter decoder-only dense language model with **per-layer Sliding Window Attention (SWA)** and **learnable attention sinks** (LSE-based). Trained on a mix of open source and proprietary data, it is a broad, general-purpose, English-language base model that serves as an early exploration and small-scale preview for upcoming Granite series model releases. Granite-SWASH-2B is based on a decoder-only dense transformer architecture. Core components of this architecture are: GQA, RoPE, MLP with SwiGLU, RMSNorm, shared input/output embeddings, Sliding Window Attention, and Attention Sinks. **Attention Pattern:** 7 full-attention layers (indices 0, 3, 7, 11, 15, 19, 23) and 17 sliding-window layers (window=128). All layers have learnable per-head attention sinks.

译文排队中,当前展示来源原文。

文本生成license:apache-2.0
上下文窗口来源未披露
输入 → 输出文本 → 文本
模型权重待核验
档案更新时间2026/11/2 19:16:45
OVERVIEW

模型介绍

**Model Summary** Granite-SWASH-2B is a 2B parameter decoder-only dense language model with **per-layer Sliding Window Attention (SWA)** and **learnable attention sinks** (LSE-based). Trained on a mix of open source and proprietary data, it is a broad, general-purpose, English-language base model that serves as an early exploration and small-scale preview for upcoming Granite series model releases. Granite-SWASH-2B is based on a decoder-only dense transformer architecture. Core components of this architecture are: GQA, RoPE, MLP with SwiGLU, RMSNorm, shared input/output embeddings, Sliding Window Attention, and Attention Sinks. **Attention Pattern:** 7 full-attention layers (indices 0, 3, 7, 11, 15, 19, 23) and 17 sliding-window layers (window=128). All layers have learnable per-head attention sinks.

主要特点

特点摘要待依据来源补齐,不凭模型名称推断能力。

局限与注意事项

暂无足够来源支持具体缺点结论。请重点验证实际任务表现、时延、数据政策、许可与版本生命周期。

PRICING & COST

来源报价与费用分析

同一模型在不同渠道、地区和配置下可能采用不同价格。下表独立保留各渠道报价,不将渠道价格视为厂商官方统一价格。

来源 / 渠道输入输出计费单位采集时间
暂未取得可核验报价,请查阅来源渠道。

按月估算基础 Token 费用

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预估不包含缓存优惠、阶梯定价、多模态附加费用、网络检索、税费及推理额外输出。

INDEPENDENT BENCHMARKS

公开评测与运行配置

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

查看完整已收录榜单 →

常见问题

开放权重是否代表可以免费商用?

不一定。应核对具体版本许可证、商用门槛和使用政策。自部署还会产生算力和维护成本。

这些价格是实时结算价格吗?

不是实时结算价格,而是带采集时间的来源报价快照。请到对应渠道核对当前版本、区域、折扣和计费方式。

资料来源与可追溯记录

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。