44 lines
2.2 KiB
Markdown
44 lines
2.2 KiB
Markdown
Cursor planning mode
|
||
====================
|
||
|
||
Because avante.nvim has always used Aider’s method for planning applying, but its prompts are very picky with models and require ones like claude-3.5-sonnet or gpt-4o to work properly.
|
||
|
||
Therefore, I have adopted Cursor’s method to implement planning applying, which should work on most models. If you encounter issues with your current model, I highly recommend switching to cursor planning mode to resolve them.
|
||
|
||
For details on the implementation, please refer to: [🚀 Introducing Fast Apply - Replicate Cursor's Instant Apply model](https://www.reddit.com/r/LocalLLaMA/comments/1ga25gj/introducing_fast_apply_replicate_cursors_instant/)
|
||
|
||
~~So you need to first run the `FastApply` model mentioned above:~~
|
||
|
||
~~```bash~~
|
||
ollama pull hf.co/Kortix/FastApply-7B-v1.0_GGUF:Q4_K_M
|
||
~~```~~
|
||
|
||
An interesting fact is that I found the `FastApply` model mentioned above doesn't work well. First, it's too slow, and second, it's not accurate for processing long code file. It often includes `// ... existing code ...` comments in the generated final code, resulting in incorrect code generation.
|
||
|
||
The best model I found for applying is `llama-3.3-70b-versatile` on [Groq](https://console.groq.com/playground), it's both fast and accurate, it's perfect!
|
||
|
||
Then enable it in avante.nvim:
|
||
|
||
```lua
|
||
{
|
||
--- ... existing configurations
|
||
provider = 'claude', -- In this example, use Claude for planning, but you can also use any provider you want.
|
||
cursor_applying_provider = 'groq', -- In this example, use Groq for applying, but you can also use any provider you want.
|
||
behaviour = {
|
||
--- ... existing behaviours
|
||
enable_cursor_planning_mode = true, -- enable cursor planning mode!
|
||
},
|
||
providers = {
|
||
--- ... existing providers
|
||
groq = { -- define groq provider
|
||
__inherited_from = 'openai',
|
||
api_key_name = 'GROQ_API_KEY',
|
||
endpoint = 'https://api.groq.com/openai/v1/',
|
||
model = 'llama-3.3-70b-versatile',
|
||
max_completion_tokens = 32768, -- remember to increase this value, otherwise it will stop generating halfway
|
||
},
|
||
},
|
||
--- ... existing configurations
|
||
}
|
||
```
|