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Hermes 3开源前沿大语言模型,针对推理、角色扮演和智能工作流优化。

4.3 (4)
Daniel Nikulshyn审阅者 Daniel Nikulshyn·更新 2026年7月

概览

Hermes 3 是一个开源权重的大型语言模型,旨在成为可调节且中立的助手,能够紧密贴合用户指令。它基于 Llama 架构,由 Nous Research 发布,重点在推理、长上下文任务和结构化输出方面实现卓越表现,同时不使用过度的对齐保护机制。 该模型强调开发者在实际应用中所需的实用能力,包括可靠的函数调用、结构化 JSON 生成、多轮角色扮演以及智能代理工具使用。它提供多种参数规模,适合本地部署和生产级推理。 由于 Hermes 3 是开源的,团队可以微调、自己托管并将其集成到自定义流水线中,避免厂商锁定;社区工具和量化构建使得在消费级硬件上进行实验变得可行。

主要功能

  • 智能函数调用和工具使用
  • 结构化 JSON 和模式引导输出
  • 扩展上下文窗口
  • 角色扮演和角色一致性
  • 包括 8B、70B 和 405B 在内的多种模型尺寸
  • 与标准推理框架兼容

价格

模型
Freemium
评分
4.3 / 5 (4)

使用场景

基于工具的智能工作流

使用 Hermes 3 的可靠函数调用和结构化 JSON 输出,构建调用外部 API 和工具的自主代理。

自托管私有大语言模型部署

在内部基础设施上部署开源的 Hermes 3,适用于需要完全控制数据、微调和推理成本的团队。

长上下文推理任务

使用 8B、70B 或 405B 尺寸的扩展上下文窗口,处理长文档、代码库或多步骤推理链。

基于角色的角色扮演应用

支持需要一致角色和可控制、限制最小的响应的交互式角色、叙事体验或模拟工具。

优点 & 缺点

优点

  • 开放权重,提供许可部署选项
  • 强大的函数调用和结构化输出支持
  • 高度可控,拒绝率低
  • 提供多种模型尺寸
  • 具备长上下文推理和角色扮演能力

缺点

  • 内置安全过滤器少于封闭模型
  • 自托管需要技术设置
  • 较大变体需要大量 GPU 资源
  • 不同尺寸层级的质量有所不同

对决战绩

在万神殿中参与了 1 对决。

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Last battle

评测

4.3

4 个评分的平均值。

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登录以留下评测。

WC

Wei Chen

Feb 8, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: roleplay and persona consistency and open weights with permissive deployment options. Where it lags: fewer built-in safety filters than closed models. On balance the feature set — especially multiple model sizes including 8B, 70B, and 405B — justifies the 4 stars for our use case.

Priya Nair

Priya Nair

Feb 1, 2026

Years in this space

I've evaluated a lot of these over the years. What stands out here is compatible with standard inference frameworks — handled better than most — and capable of long-context reasoning and roleplay. Worth the time if this is your use case.

Ahmed Saleh

Ahmed Saleh

Nov 15, 2025

Solid for our team

We rolled this out across the team last quarter and strong function calling and structured output support. Structured JSON and schema-guided outputs fits neatly into how we already work, and agentic function-calling and tool use removed a step we used to do by hand. Larger variants need substantial GPU resources, which is the main caveat, but it has held up under daily use.

EB

Ethan Brooks

Aug 16, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on structured JSON and schema-guided outputs, and open weights with permissive deployment options caught me off guard. Requires technical setup for self-hosting is why this isn't a perfect score, still, I'd recommend giving it a real trial.

问答

What are the limitations of Hermes 3?

Hermes 3 has fewer built-in safety filters, requires technical setup for self-hosting, and larger variants need substantial GPU resources, with quality varying between size tiers.

Asked by Carlos Mendoza · Sep 21, 2025

What are the key benefits of using Hermes 3?

Hermes 3 offers open weights with permissive deployment options, strong function calling and structured output support, and is highly steerable with minimal refusals.

Asked by Margaret Whitfield · Sep 13, 2025

What are the available model sizes?

Hermes 3 is available in multiple parameter sizes, including 8B, 70B, and 405B, making it suitable for both local deployment and production-scale inference.

Asked by Youssef El-Sayed · Jul 12, 2025

Is Hermes 3 open-source?

Yes, Hermes 3 is open-source, allowing for fine-tuning, self-hosting, and integration into custom pipelines without vendor lock-in.

Asked by Liam O’Connor · Jul 6, 2025

提问

微起例式分成给打成机子 (LLMs) 的替代品