Rate Limit error on locally deployed model

I am trying to run Starcoder locally through Ollama. And I want to get code auto-completion like in the README gif.

But I keep getting the following error after every debounce: `[LLM] inference api error: Rate limit reached. Please log in or use your apiToken`

```lua
local llm = require('llm')

llm.setup({
api_token = nil, -- cf Install paragraph
model = "bigcode/starcoder", -- the model ID, behavior depends on backend
url = "http://localhost:11434/api/generate", -- the http url of the backend
tokens_to_clear = { "<|endoftext|>" }, -- tokens to remove from the model's output

-- parameters that are added to the request body, values are arbitrary, you can set any field:value pair here it will be passed as is to the backend
request_body = {
parameters = {
temperature = 0.1,
},
},
-- set this if the model supports fill in the middle
fim = {
enabled = true,
prefix = "",
middle = "",
suffix = "",
},
debounce_ms = 1000,
context_window = 8192, -- max number of tokens for the context window
tokenizer = { -- cf Tokenizer paragraph
repository = "bigcode/starcoder",
},
})
```

Am I wrong to understand that this repo can give Copilot/Tabnine-like autocomplete with locally deployed models?
Please let me know what my next steps should be.