联通微调版:https://www.modelscope.cn/models/UnicomAI/Unichat-llama3-Chinese/summary
Openbuddy微调版:https://www.modelscope.cn/models/OpenBuddy/openbuddy-llama3-8b-v21.1-8k/summary
zhichen微调版:https://github.com/seanzhang-zhichen/llama3-chinese
Rookie微调版:https://github.com/Rookie1019/Llama-3-8B-Instruct-Chinese
shareAI-V1:https://opencsg.com/models/shareAI/llama3-Chinese-chat-8b
shareAI-V2:https://modelscope.cn/models/baicai003/Llama3-Chinese_v2/summaryingFang SC", "Hiragino Sans GB", "Microsoft YaHei UI", "Microsoft YaHei", Arial, sans-serif;font-size: 1.2em;font-weight: bold;display: table;margin: 4em auto 2em;padding-right: 0.2em;padding-left: 0.2em;background: rgb(15, 76, 129);color: rgb(255, 255, 255);">Ollama部署Llama3-Chinese模型ingFang SC", "Hiragino Sans GB", "Microsoft YaHei UI", "Microsoft YaHei", Arial, sans-serif;margin: 1.5em 8px;letter-spacing: 0.1em;color: rgb(63, 63, 63);">ollama仓库也已经出现了llama3-Chinese的模型(基于https://huggingface.co/zhichen/Llama3-Chinese的quantize q4_0版本)。ingFang SC", "Hiragino Sans GB", "Microsoft YaHei UI", "Microsoft YaHei", Arial, sans-serif;margin: 1.5em 8px;letter-spacing: 0.1em;color: rgb(63, 63, 63);">但经本人测试效果比较差,不仅回答的不准确,而且提问第二个问题就没有任何响应了。所以,不推荐使用。FROM./Llama3-8B-Chinese-Chat.q4_k_m.GGUF
TEMPLATE"""{{if.System}}<|start_header_id|>system<|end_header_id|>
{{.System}}<|eot_id|>{{end}}{{if.Prompt}}<|start_header_id|>user<|end_header_id|>
{{.Prompt}}<|eot_id|>{{end}}<|start_header_id|>assistant<|end_header_id|>
{{.Response}}<|eot_id|>"""
PARAMETERstop"<|start_header_id|>"
PARAMETERstop"<|end_header_id|>"
PARAMETERstop"<|eot_id|>"
PARAMETERstop"<|reserved_special_token"执行ollama create llama3-Chinese:8B -f Modelfile创建模型:
(base)[root@localhostmy_model]#ollamacreatellama3-Chinese:8B-fModelfile
transferringmodeldata
creatingmodellayer
creatingtemplatelayer
creatingparameterslayer
creatingconfiglayer
usingalreadycreatedlayersha256:74db82a06a038230371e62740a9b430140e4df3a02c5ddcbe97c9bee76d6455e
writinglayersha256:8ab4849b038cf0abc5b1c9b8ee1443dca6b93a045c2272180d985126eb40bf6f
writinglayersha256:c0aac7c7f00d8a81a8ef397cd78664957fbe0e09f87b08bc7afa8d627a8da87f
writinglayersha256:109fb4827ddd6f21dd04a405dec5e1c9e39cf139e89b98536875a782938c02f5
writingmanifest
success执行ollama list查看:
(base)[root@localhostmy_model]#ollamalist
NAMEIDSIZEMODIFIED
llama3-Chinese:8Be45ad8ada59e4.9GB33secondsago
qwen:14b-chat-v1.5-q5_K_Mba0e61d66b2710GB6weeksagollama3-Chinese:8B已经成功导入到Ollama中。
•弱智吧
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