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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"
}
},
],
}