llama.vim : final touches
ggml-ci
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2 changed files with 28 additions and 9 deletions
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@ -17,7 +17,7 @@
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"
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" start the llama.cpp server with a FIM-compatible model. for example:
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"
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" $ llama-server -m {model.gguf} --port 8012 -ngl 99 -fa -dt 0.1 --ubatch-size 512 --batch-size 1024 --cache-reuse 512
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" $ llama-server -m {model.gguf} --port 8012 -ngl 99 -fa -dt 0.1 --ubatch-size 512 --batch-size 1024 --cache-reuse 64
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"
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" --batch-size [512, model max context]
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"
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@ -33,8 +33,10 @@
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"
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" :call llama#init()
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"
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" more info: https://github.com/ggerganov/llama.cpp/pull/9787/files
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"
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" color of the suggested text
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" colors (adjust to your liking)
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highlight llama_hl_hint guifg=#ff772f
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highlight llama_hl_info guifg=#77ff2f
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@ -154,6 +156,8 @@ function! llama#init()
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endif
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endfunction
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" compute how similar two chunks of text are
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" 0 - no similarity, 1 - high similarity
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" TODO: figure out something better
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function! s:chunk_sim(c0, c1)
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let l:lines0 = len(a:c0)
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@ -173,17 +177,23 @@ function! s:chunk_sim(c0, c1)
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return 2.0 * l:common / (l:lines0 + l:lines1)
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endfunction
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" pick a chunk from the provided text and queue it for processing
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" pick a random chunk of size g:llama_config.ring_chunk_size from the provided text and queue it for processing
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"
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" no_mod - do not pick chunks from buffers with pending changes
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" do_evict - evict chunks that are very similar to the new one
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"
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function! s:pick_chunk(text, no_mod, do_evict)
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" do not pick chunks from buffers with pending changes or buffers that are not files
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if a:no_mod && (getbufvar(bufnr('%'), '&modified') || !buflisted(bufnr('%')) || !filereadable(expand('%')))
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return
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endif
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" if the extra context option is disabled - do nothing
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if g:llama_config.ring_n_chunks <= 0
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return
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endif
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" don't pick very small chunks
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if len(a:text) < 3
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return
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endif
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@ -220,9 +230,9 @@ function! s:pick_chunk(text, no_mod, do_evict)
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return
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endif
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" evict chunks that are very similar to the new one
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" evict queued chunks that are very similar to the new one
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for i in range(len(s:ring_queued) - 1, 0, -1)
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if s:chunk_sim(s:ring_queued[i].data, l:chunk) > 0.5
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if s:chunk_sim(s:ring_queued[i].data, l:chunk) > 0.9
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if a:do_evict
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call remove(s:ring_queued, i)
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let s:ring_n_evict += 1
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@ -234,7 +244,7 @@ function! s:pick_chunk(text, no_mod, do_evict)
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" also from s:ring_chunks
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for i in range(len(s:ring_chunks) - 1, 0, -1)
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if s:chunk_sim(s:ring_chunks[i].data, l:chunk) > 0.5
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if s:chunk_sim(s:ring_chunks[i].data, l:chunk) > 0.9
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if a:do_evict
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call remove(s:ring_chunks, i)
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let s:ring_n_evict += 1
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@ -244,6 +254,7 @@ function! s:pick_chunk(text, no_mod, do_evict)
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endif
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endfor
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" TODO: become parameter ?
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if len(s:ring_queued) == 16
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call remove(s:ring_queued, 0)
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endif
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@ -253,7 +264,8 @@ function! s:pick_chunk(text, no_mod, do_evict)
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"let &statusline = 'extra context: ' . len(s:ring_chunks) . ' / ' . len(s:ring_queued)
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endfunction
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" called every g:llama_config.ring_update_ms, processed chunks are moved to s:ring_chunks
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" picks a queued chunk, sends it for processing and adds it to s:ring_chunks
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" called every g:llama_config.ring_update_ms
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function! s:ring_update()
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call timer_start(g:llama_config.ring_update_ms, {-> s:ring_update()})
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@ -306,15 +318,21 @@ function! s:ring_update()
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\ g:llama_config.endpoint, shellescape(l:request)
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\ )
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" no callbacks because we don't need to process the response
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call jobstart(l:curl_command, {})
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endfunction
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" necessary for 'inoremap <expr>'
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function! llama#fim_inline(is_auto, on_hold) abort
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call llama#fim(a:is_auto, a:on_hold)
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return ''
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endfunction
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" the main FIM call
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" takes local context around the cursor and sends it together with the extra context
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" to the llama.cpp server for completion
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function! llama#fim(is_auto, on_hold) abort
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" we already have a suggestion for the current cursor position
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if a:on_hold && (s:hint_shown || (s:pos_x == col('.') - 1 && s:pos_y == line('.')))
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return
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endif
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@ -415,6 +433,7 @@ function! llama#fim(is_auto, on_hold) abort
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" TODO: per-file location
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let l:delta_y = abs(s:pos_y - s:pos_y_pick)
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" gather some extra context nearby and process it in the background
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" only gather chunks if the cursor has moved a lot
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" TODO: something more clever? reranking?
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if a:is_auto && l:delta_y > 32
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@ -474,7 +493,7 @@ function! s:on_move()
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call llama#fim_cancel()
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endfunction
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" callback that processes the result from the server
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" callback that processes the FIM result from the server and displays the suggestion
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function! s:fim_on_stdout(job_id, data, event) dict
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let l:raw = join(a:data, "\n")
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if len(l:raw) == 0
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@ -1764,7 +1764,7 @@ struct llama_sampler * llama_sampler_init_logit_bias(
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// infill
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#define GGML_DEBUG_SAMPLER_INFILL
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//#define GGML_DEBUG_SAMPLER_INFILL
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struct llama_sampler_infill {
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const struct llama_vocab * vocab;
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