如何在 jebtrains 使用 deepseek 的 api（不是本地的模型，是用的官方 deepseek 模型 api）

[yjqiang]

我做了如下操作

• homebrew 安装 tabby
• 修改配置，~/.tabby/config.toml

[model.chat.http]
kind = "openai/chat"
model_name = "deepseek-reasoner"
api_endpoint = "https://api.deepseek.com/v1"
api_key = "xxx"

[model.completion.http]
kind = "deepseek/completion"
model_name = "deepseek-reasoner"
api_endpoint = "https://api.deepseek.com/v1"
api_key = "xxx"

• 运行 tabby serve --port 8080
  结果，运行失败，显示

Writing to new file.
File exists. Resuming.
File exists. Resuming.
The application panicked (crashed).
Message:  Failed to fetch model 'Nomic-Embed-Text' due to 'Fetching 'https://huggingface.co/nomic-ai/nomic-embed-text-v1.5-GGUF/resolve/main/nomic-embed-text-v1.5.Q8_0.gguf' failed: Server returned error sending request for url (https://huggingface.co/nomic-ai/nomic-embed-text-v1.5-GGUF/resolve/main/nomic-embed-text-v1.5.Q8_0.gguf) HTTP status'
Location: /Users/runner/work/tabby/tabby/crates/tabby-download/src/lib.rs:210

Backtrace omitted. Run with RUST_BACKTRACE=1 environment variable to display it.
Run with RUST_BACKTRACE=full to include source snippets

[5bug]

你这个是下载Embedding模型Nomic-Embed-Text失败了，Embedding默认模型是nomic-embed-text，可以参考如下文档改为远端模型：https://tabby.tabbyml.com/docs/references/models-http-api/llama.cpp/

[yjqiang]

你这个是下载Embedding模型Nomic-Embed-Text失败了，Embedding默认模型是nomic-embed-text，可以参考如下文档改为远端模型：https://tabby.tabbyml.com/docs/references/models-http-api/llama.cpp/

多谢老哥，我随便加了个（反正我应该用不到 emb），就行了

[model.embedding.http]
kind = "llama.cpp/embedding"
api_endpoint = "http://localhost:8888"