MODEL PROFILE · 模型档案

Peach-2.0-9B-8k-Roleplay-GGUF

QuantFactory · Peach-2.0-9B-8k-Roleplay-GGUF

Peach-2.0-9B-8k-Roleplay is a chat large language model obtained by finetuning 01-ai/Yi-1.5-9B model on more than 100K conversations created through our data synthesis approach. We completed the final SFT+DPO training in early January, followed by extensive testing, before concluding that this version meets the standards for a commercial release, now freely available to everyone. Our goal is to break the paid monopoly, allowing everyone to have their own local role-playing AI! 1. Compatibility with Silly-Tavern output format, making it easy for every role-playing enthusiast to quickly get started and use! 2. Enhanced the model's writing capabilities, achieving a significant leap in plot output and action description! 3. Strengthened the model's bilingual capabilities, requiring only two lines of prompt to perfectly accommodate English character cards in Chinese conversations! 4. Improved the model's interaction abilities, giving it higher intelligence & emotional quotient in terms of plot progression and topic weaving! 5. Introduced a DPO training phase for preference alignment, addressing issues such as context repetition and logical errors in the SFT model, resulting in superior dialogue performance.

译文排队中,当前展示来源原文。

文本生成license:mit
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 19:16:27
OVERVIEW

模型介绍

Peach-2.0-9B-8k-Roleplay is a chat large language model obtained by finetuning 01-ai/Yi-1.5-9B model on more than 100K conversations created through our data synthesis approach. We completed the final SFT+DPO training in early January, followed by extensive testing, before concluding that this version meets the standards for a commercial release, now freely available to everyone. Our goal is to break the paid monopoly, allowing everyone to have their own local role-playing AI! 1. Compatibility with Silly-Tavern output format, making it easy for every role-playing enthusiast to quickly get started and use! 2. Enhanced the model's writing capabilities, achieving a significant leap in plot output and action description! 3. Strengthened the model's bilingual capabilities, requiring only two lines of prompt to perfectly accommodate English character cards in Chinese conversations! 4. Improved the model's interaction abilities, giving it higher intelligence & emotional quotient in terms of plot progression and topic weaving! 5. Introduced a DPO training phase for preference alignment, addressing issues such as context repetition and logical errors in the SFT model, resulting in superior dialogue performance.

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:mit。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。