mirror of https://gitee.com/godoos/godoos.git
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export const chatglmLabels = { |
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name: "chatglm", |
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family: "llama", |
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action: "chat", |
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models: [ |
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{ |
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model: "EntropyYue/chatglm3:6b", |
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params: { |
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stream: true, |
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"stop": [ |
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"<|system|>", |
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"<|user|>", |
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"<|assistant|>" |
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], |
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"temperature": 0.7, |
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"top_k": 5, |
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"top_p": 0.8 |
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}, |
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info: { |
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engine: "ollama", |
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from: "ollama", |
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size: "3.6GB", |
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desk: "4GB", |
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cpu: "16GB", |
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gpu: "8GB", |
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quant: "q4" |
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} |
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}, |
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], |
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zhdesc: "ChatGLM是由清华技术成果转化的公司智谱AI发布的开源的、支持中英双语问答的对话语言模型系列,并针对中文进行了优化,该模型基于General Language Model(GLM)架构构建", |
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endesc: "ChatGLM is an open-source dialogue language model series released by Zhipu AI, a company that transforms technology achievements from Tsinghua University. It supports bilingual Q&A in both Chinese and English and has been optimized for Chinese. The model is built on the General Language Model (GLM) architecture" |
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} |
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export const neuralchatLabels = { |
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name: "neural-chat", |
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family: "llama", |
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action: "chat", |
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models: [ |
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{ |
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model: "neural-chat:latest", |
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params: { |
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stream: true, |
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"num_ctx": 4096, |
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"stop": [ |
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"</s>", |
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"<|im_start|>", |
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"<|im_end|>" |
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], |
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"temperature": 0.7, |
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"top_k": 5, |
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"top_p": 0.8 |
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}, |
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info: { |
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engine: "ollama", |
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from: "ollama", |
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size: "4.1GB", |
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desk: "5GB", |
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cpu: "16GB", |
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gpu: "8GB", |
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quant: "q4" |
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} |
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}, |
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], |
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zhdesc: "基于Mistral的微调模型,具有良好的领域和语言覆盖率。", |
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endesc: "A fine-tuned model based on Mistral with good coverage of domain and language. " |
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} |
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export const starlinglmLabels = { |
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name: "starling-lm", |
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family: "llama", |
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action: "chat", |
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models: [ |
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{ |
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model: "starling-lm:latest", |
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params: { |
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stream: true, |
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"stop": [ |
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"<|endoftext|>", |
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"<|end_of_turn|>", |
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"Human:", |
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"Assistant:" |
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], |
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"temperature": 0.7, |
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"top_k": 5, |
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"top_p": 0.8 |
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}, |
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info: { |
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engine: "ollama", |
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from: "ollama", |
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size: "4.1GB", |
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desk: "5GB", |
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cpu: "16GB", |
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gpu: "8GB", |
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quant: "q4" |
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} |
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}, |
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], |
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zhdesc: "Starling是一个大型语言模型,通过人工智能反馈的强化学习进行训练,专注于提高聊天机器人的有用性。", |
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endesc: "Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness. " |
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} |
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