Models
一个野生的 7B 参数模型，使用来自 mergekit 的新任务算术合并方法合并了多个模型。合并模型列表： NousResearch/Nous-Capybara-7B-V1.9 HuggingFaceH4/zephyr-7b-beta lemonilia/AshhLimaRP-Mistral-7B...
对原始 MythoMax-L2-B13 的一次重现试验，但使用了更新的模型。 #merge ...
Mistral AI 的第一个图像到文本模型。根据他们的传统，其权重通过 torrent 发布： https://x.com/mistralai/status/1833758285167722836 ...
Phi-3.5 模型是轻量级的、最先进的开放模型。这些模型使用 Phi-3 数据集进行训练，该数据集包括合成数据和经过筛选的公开可用网站数据，重点关注高质量和推理密集特性。Phi-3.5 Mini 使用 3.8B 参数，是一个密集的仅解码器变换器模型，使用与 Phi-3 Mini 相同的分词器。 这些模型经过严格的增 ...
动态模型持续更新至 ChatGPT 中的当前版本 GPT-4o。旨在用于研究和评估。 注意：该模型目前处于实验阶段，不适合生产使用场景，可能会受到严格的速率限制。 ...
Claude 3.5 Sonnet 提供了超越 Opus 的能力，以比 Sonnet 更快的速度，且价格与 Sonnet 相同。Sonnet 在以下方面表现尤为出色：编码：自主编写、编辑和运行代码，具备推理和故障排除能力 数据科学：增强人类的数据科学专业知识；在使用多种工具获取洞察的同时，能够处理非结构化数据 视觉处理：擅长解读图表、图形和图像，准确转录文本，以获取超越文本本身的...
Llama 3.2 1B 是一个拥有 10 亿参数的语言模型，专注于高效执行自然语言任务，如摘要、对话和多语言文本分析。其较小的体积使其能够在低资源环境中高效运行，同时保持强大的任务性能。 支持八种核心语言，并可进行微调以支持更多，Llama 1.3B 非常适合寻求轻量级但强大的 AI 解决方案的企业或开发者，这些解决方案能够在多样的多语言环境中运行，而不需要大型模型的高计算需求。 点击这里 ...
介绍 QwQ-32B-Preview 是由 Qwen 团队开发的实验研究模型，旨在提升 AI 推理能力。作为预览版本，它展示了有前景的分析能力，但也存在几个重要的局限性：语言混合和代码切换：该模型可能会意外混合语言或在语言之间切换，从而影响响应的清晰度。 递归推理循环：该模型可能会进入循环推理模式，导致响应冗长而没有结论性答案。 **安全和伦...
Gemini 2.0 Flash 提供了比 Gemini 1.5 Flash 更快的首次令牌时间 (TTFT)，同时保持与更大模型如 Gemini 1.5 Pro 相当的质量。它在多模态理解、编码能力、复杂指令执行和函数调用方面引入了显著的增强。这些进步共同提供了更无缝和强大的代理体验。 ...
FREE
Gemini 2.0 Flash 提供了比 Gemini 1.5 Flash 更快的首次令牌时间 (TTFT)，同时保持与更大模型如 Gemini 1.5 Pro 相当的质量。它在多模态理解、编码能力、复杂指令执行和函数调用方面引入了显著的增强。这些进步共同提供了更无缝和强大的代理体验。 ...
FREE
DeepSeek R1 已经发布：性能与 OpenAI o1 相当，但为开源且具有完全开放的推理令牌。它的参数量为 671B，在推理过程中活跃的参数为 37B。 完全开源模型 & 技术报告。 MIT 许可证：自由提炼和商业化！ ...
FREE
The Meta Llama 3.3 多语言大型语言模型 (LLM) 是一个经过预训练和指令调优的生成模型，参数为 70B（文本输入/文本输出）。Llama 3.3 指令调优的文本模型专为多语言对话用例优化，并在常见行业基准测试中超越了许多可用的开源和封闭聊天模型。 支持的语言：英语、德语、法语、意大利语、葡萄牙语、印地语、西班牙语和泰语。 [模型卡片](https://github.com ...
FREE
NVIDIA的Llama 3.1 Nemotron 70B是一个旨在生成精确和有用响应的语言模型。利用Llama 3.1 70B架构和基于人类反馈的强化学习（RLHF），它在自动对齐基准测试中表现出色。该模型专为需要高准确性的有用性和响应生成的应用而设计，适合处理多个领域的多样化用户查询。 使用此模型须遵 ...
FREE
Qwen2.5-VL 擅长识别常见物体，如花、鸟、鱼和昆虫。它还非常擅长分析文本、图表、图标、图形和图像中的布局。 ...
FREE
Gemini 2.0 Flash Thinking Mode 是一个实验性模型，旨在生成模型在响应过程中经历的“思维过程”。因此，Thinking Mode 在响应中的推理能力比 基础 Gemini 2.0 Flash 模型 更强。 ...
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- L31 euryale 70b
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- Multilingual embeddings
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- Mythomax l2 b13
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