llama.vim : final touches

ggml-ci
This commit is contained in:
Georgi Gerganov 2024-10-15 17:18:32 +03:00
parent 847c8c023e
commit 4583aef12b
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2 changed files with 28 additions and 9 deletions

View file

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

View file

@ -1764,7 +1764,7 @@ struct llama_sampler * llama_sampler_init_logit_bias(
// infill
#define GGML_DEBUG_SAMPLER_INFILL
//#define GGML_DEBUG_SAMPLER_INFILL
struct llama_sampler_infill {
const struct llama_vocab * vocab;