docs/customize/model-providers/more/siliconflow.mdx
We recommend configuring Qwen/Qwen2.5-Coder-32B-Instruct as your chat model.
<Tabs> <Tab title="YAML"> ```yaml title="config.yaml" name: My Config version: 0.0.1 schema: v1models:
- name: Qwen
provider: siliconflow
model: Qwen/Qwen2.5-Coder-32B-Instruct
apiKey: <YOUR_SILICONFLOW_API_KEY>
roles:
- chat
```
</Tab>
<Tab title="JSON">
```json title="config.json"
{
"models": [
{
"title": "Qwen",
"provider": "siliconflow",
"model": "Qwen/Qwen2.5-Coder-32B-Instruct",
"apiKey": "<YOUR_SILICONFLOW_API_KEY>"
}
]
}
```
</Tab>
We recommend configuring Qwen/Qwen2.5-Coder-7B-Instruct as your autocomplete model.
<Tabs> <Tab title="YAML"> ```yaml title="config.yaml" name: My Config version: 0.0.1 schema: v1models:
- name: Qwen
provider: siliconflow
model: Qwen/Qwen2.5-Coder-32B-Instruct
apiKey: <YOUR_SILICONFLOW_API_KEY>
roles:
- autocomplete
```
</Tab>
<Tab title="JSON">
```json title="config.json"
{
"models": [
{
"title": "Qwen",
"provider": "siliconflow",
"model": "Qwen/Qwen2.5-Coder-32B-Instruct",
"apiKey": "<YOUR_SILICONFLOW_API_KEY>"
}
]
"tabAutocompleteModel": {
"title": "Qwen",
"provider": "siliconflow",
"model": "Qwen/Qwen2.5-Coder-7B-Instruct",
"apiKey": "<YOUR_SILICONFLOW_API_KEY>"
}
}
```
</Tab>
SiliconFlow provide some embeddings models. Click here to see a list of embeddings models.
SiliconFlow provide some reranking models. Click here to see a list of reranking models.