export const qwenLabels = { name: "qwen", family: "llama", action: "chat", zhdesc: "Qwen是阿里云基于transformer的一系列大型语言模型,在大量数据上进行预训练,包括网络文本、书籍、代码等。", endesc: "Qwen is a series of transformer-based large language models by Alibaba Cloud, pre-trained on a large volume of data, including web texts, books, code, etc.", models: [ { model: "qwen2.5:0.5b", params: { top_p: 0.95, stream: true, num_keep: 5, num_predict: 1, top_k: 40, temperature: 0.7, stop: [ "<|im_start|>", "<|im_end|>" ] }, info: { engine: "ollama", from: "ollama", size: "494MB", desk: "1GB", cpu: "8GB", gpu: "6GB", quant: "q4" } }, { model: "qwen2.5:1.5b", params: { top_p: 0.95, stream: true, num_keep: 5, num_predict: 1, top_k: 40, temperature: 0.7, stop: [ "<|im_start|>", "<|im_end|>" ] }, info: { engine: "ollama", from: "ollama", size: "1.54GB", desk: "1.6GB", cpu: "8GB", gpu: "6GB", quant: "q4" } }, { model: "qwen2.5:3b", params: { top_p: 0.95, stream: true, num_keep: 5, num_predict: 1, top_k: 40, temperature: 0.7, stop: [ "<|im_start|>", "<|im_end|>" ] }, info: { engine: "ollama", from: "ollama", size: "1.9GB", desk: "2GB", cpu: "16GB", gpu: "8GB", quant: "q4" } }, { model: "qwen2.5:7b", params: { top_p: 0.95, stream: true, num_keep: 5, num_predict: 1, top_k: 40, temperature: 0.7, stop: [ "<|im_start|>", "<|im_end|>" ] }, info: { engine: "ollama", from: "ollama", size: "4.7GB", desk: "5GB", cpu: "16GB", gpu: "8GB", quant: "q4" } }, { model: "qwen2:0.5b", params: { top_p: 0.95, stream: true, num_keep: 5, num_predict: 1, top_k: 40, temperature: 0.7, stop: [ "<|im_start|>", "<|im_end|>" ] }, info: { engine: "ollama", from: "ollama", size: "352MB", desk: "1GB", cpu: "8GB", gpu: "6GB", quant: "q4" } }, { model: "qwen2:1.5b", params: { top_p: 0.95, stream: true, num_keep: 5, num_predict: 1, top_k: 40, temperature: 0.7, stop: [ "<|im_start|>", "<|im_end|>" ] }, info: { engine: "ollama", from: "ollama", size: "935MB", desk: "1.5GB", cpu: "8GB", gpu: "6GB", quant: "q4" } }, { model: "qwen2:7b", params: { top_p: 0.95, stream: true, num_keep: 5, num_predict: 1, top_k: 40, temperature: 0.7, stop: [ "<|im_start|>", "<|im_end|>" ] }, info: { engine: "ollama", from: "ollama", size: "4.4GB", desk: "6GB", cpu: "16GB", gpu: "8GB", quant: "q4" } }, { model: "qwen:0.5b", params: { top_p: 0.95, stream: true, num_keep: 5, num_predict: 1, top_k: 40, temperature: 0.7, stop: [ "<|im_start|>", "<|im_end|>" ] }, info: { engine: "ollama", from: "ollama", size: "395MB", desk: "395MB", cpu: "8GB", gpu: "6GB", quant: "q4" } }, ], }