MODEL PROFILE · 模型档案

propella-1-4b

ellamind · propella-1-4b

propella-1 is a family of small multilingual LLMs that annotate text documents across six categories: core content, classification, quality & value, audience & purpose, safety & compliance, and geographic relevance. The annotations can be used to filter, select, and curate LLM training data at scale. *Disclaimer: This is a research project, not an official ellamind product. For production-ready evaluation solutions, check out elluminate.* propella-1 models evaluate documents across 18 properties organized into six categories: | Category | Property | Short Description | |----------|----------|-------------| | **Core Content** | Content Integrity | Completeness and technical quality of the content | | | Content Ratio | Proportion of content vs. navigation/UI elements | | | Content Length | Amount of substantive content | | **Classification** | One-Sentence Description | Ultra-short neutral description of the document | | | Content Type | Functional structure and purpose | | | Business Sector | Industry domain relevance | | | Technical Content | Type and intensity of specialized knowledge | | **Quality & Value** | Content Quality | Overall writing and presentation quality | | | Information Density | Ratio of valuable information to redundancy | | | Educational Value | Potential for teaching and learning | | | Reasoning Indicators | Presence of logical reasoning and analysis | | **Audience & Purpose** | Audience Level | Target sophistication level | | | Commercial Bias | Commercial influence on objectivity | | | Time-Sensitivity | How content value changes over time | | **Safety & Compliance** | Content Safety | Presence of inappropriate or harmful content | | | PII Presence | Contains personally identifiable information | | **Geographic** | Regional Relevance | Primary regional/cultural context | | | Country Relevance | Specific country relevance |

译文排队中,当前展示来源原文。

license:apache-2.0
上下文窗口来源未披露
输入 → 输出待核验 → 待核验
模型权重待核验
档案更新时间2026/11/2 19:16:17
OVERVIEW

模型介绍

propella-1 is a family of small multilingual LLMs that annotate text documents across six categories: core content, classification, quality & value, audience & purpose, safety & compliance, and geographic relevance. The annotations can be used to filter, select, and curate LLM training data at scale. *Disclaimer: This is a research project, not an official ellamind product. For production-ready evaluation solutions, check out elluminate.* propella-1 models evaluate documents across 18 properties organized into six categories: | Category | Property | Short Description | |----------|----------|-------------| | **Core Content** | Content Integrity | Completeness and technical quality of the content | | | Content Ratio | Proportion of content vs. navigation/UI elements | | | Content Length | Amount of substantive content | | **Classification** | One-Sentence Description | Ultra-short neutral description of the document | | | Content Type | Functional structure and purpose | | | Business Sector | Industry domain relevance | | | Technical Content | Type and intensity of specialized knowledge | | **Quality & Value** | Content Quality | Overall writing and presentation quality | | | Information Density | Ratio of valuable information to redundancy | | | Educational Value | Potential for teaching and learning | | | Reasoning Indicators | Presence of logical reasoning and analysis | | **Audience & Purpose** | Audience Level | Target sophistication level | | | Commercial Bias | Commercial influence on objectivity | | | Time-Sensitivity | How content value changes over time | | **Safety & Compliance** | Content Safety | Presence of inappropriate or harmful content | | | PII Presence | Contains personally identifiable information | | **Geographic** | Regional Relevance | Primary regional/cultural context | | | Country Relevance | Specific country relevance |

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

—

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。