64 lines
2.1 KiB
Lua
64 lines
2.1 KiB
Lua
return {
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"milanglacier/minuet-ai.nvim",
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config = function()
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require("minuet").setup({
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cmp = {
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enable_auto_complete = false,
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},
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provider = "openai_fim_compatible",
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n_completions = 1, -- recommend for local model for resource saving
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-- I recommend beginning with a small context window size and incrementally
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-- expanding it, depending on your local computing power. A context window
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-- of 512, serves as an good starting point to estimate your computing
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-- power. Once you have a reliable estimate of your local computing power,
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-- you should adjust the context window to a larger value.
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context_window = 512,
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provider_options = {
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openai_fim_compatible = {
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-- For Windows users, TERM may not be present in environment variables.
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-- Consider using APPDATA instead.
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api_key = "TERM",
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name = "Llama.cpp",
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end_point = "http://localhost:8012/v1/completions",
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-- The model is set by the llama-cpp server and cannot be altered
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-- post-launch.
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model = "PLACEHOLDER",
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optional = {
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max_tokens = 56,
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top_p = 0.9,
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},
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-- Llama.cpp does not support the `suffix` option in FIM completion.
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-- Therefore, we must disable it and manually populate the special
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-- tokens required for FIM completion.
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template = {
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prompt = function(context_before_cursor, context_after_cursor, _)
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return "<|fim_prefix|>"
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.. context_before_cursor
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.. "<|fim_suffix|>"
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.. context_after_cursor
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.. "<|fim_middle|>"
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end,
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suffix = false,
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},
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},
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},
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virtualtext = {
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auto_trigger_ft = {},
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keymap = {
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-- accept whole completion
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accept = "<A-A>",
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-- accept one line
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accept_line = "<A-a>",
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-- accept n lines (prompts for number)
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-- e.g. "A-z 2 CR" will accept 2 lines
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accept_n_lines = "<A-z>",
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-- Cycle to prev completion item, or manually invoke completion
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prev = "<A-[>",
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-- Cycle to next completion item, or manually invoke completion
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next = "<A-]>",
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dismiss = "<A-e>",
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},
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},
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})
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end,
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}
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