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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,132 @@ | ||
| " Requires an already running llama.cpp server | ||
| " To install either copy or symlink to ~/.vim/autoload/llama.vim | ||
| " Then start with either :call llama#doLlamaGen(), | ||
| " or add a keybind to your vimrc such as | ||
| " nnoremap Z :call llama#doLlamaGen()<CR> | ||
| " Similarly, you could add an insert mode keybind with | ||
| " inoremap <C-B> <Cmd>call llama#doLlamaGen()<CR> | ||
| " | ||
| " g:llama_api_url and g:llama_overrides can be configured in your .vimrc | ||
| " let g:llama_api_url = "192.168.1.10:8080" | ||
| " llama_overrides can also be set through buffer/window scopes. For instance | ||
| " autocmd filetype python let b:llama_overrides = {"temp": 0.2} | ||
| " Could be added to your .vimrc to automatically set a lower temperature when | ||
| " editing a python script | ||
| " Additionally, an override dict can be stored at the top of a file | ||
| " !*{"stop": ["User:"]} | ||
| " Could be added to the start of your chatlog.txt to set the stopping token | ||
| " These parameter dicts are merged together from lowest to highest priority: | ||
| " server default -> g:llama_overrides -> w:llama_overrides -> | ||
| " b:llama_overrides -> in file (!*) overrides | ||
| " | ||
| " Sublists (like logit_bias and stop) are overridden, not merged | ||
| " Example override: | ||
| " !*{"logit_bias": [[13, -5], [2, false]], "temperature": 1, "top_k": 5, "top_p": 0.5, "n_predict": 256, "repeat_last_n": 256, "repeat_penalty": 1.17647} | ||
| if !exists("g:llama_api_url") | ||
| let g:llama_api_url= "127.0.0.1:8080" | ||
| endif | ||
| if !exists("g:llama_overrides") | ||
| let g:llama_overrides = {} | ||
| endif | ||
| const s:querydata = {"n_predict": 256, "stop": [ "\n" ], "stream": v:true } | ||
| const s:curlcommand = ['curl','--data-raw', "{\"prompt\":\"### System:\"}", '--silent', '--no-buffer', '--request', 'POST', '--url', g:llama_api_url .. '/completion', '--header', "Content-Type: application/json"] | ||
| let s:linedict = {} | ||
|
|
||
| func s:callbackHandler(bufn, channel, msg) | ||
| if len(a:msg) < 3 | ||
| return | ||
| elseif a:msg[0] == "d" | ||
| let l:msg = a:msg[6:-1] | ||
| else | ||
| let l:msg = a:msg | ||
| endif | ||
| let l:decoded_msg = json_decode(l:msg) | ||
| let l:newtext = split(l:decoded_msg['content'], "\n", 1) | ||
| if len(l:newtext) > 0 | ||
| call setbufline(a:bufn, s:linedict[a:bufn], getbufline(a:bufn, s:linedict[a:bufn])[0] .. newtext[0]) | ||
| else | ||
| echo "nothing genned" | ||
| endif | ||
| if len(newtext) > 1 | ||
| let l:failed = appendbufline(a:bufn, s:linedict[a:bufn], newtext[1:-1]) | ||
| let s:linedict[a:bufn] = s:linedict[a:bufn] + len(newtext)-1 | ||
| endif | ||
| if has_key(l:decoded_msg, "stop") && l:decoded_msg.stop | ||
| echo "Finished generation" | ||
| endif | ||
| endfunction | ||
|
|
||
| func llama#doLlamaGen() | ||
| if exists("b:job") | ||
| if job_status(b:job) == "run" | ||
| call job_stop(b:job) | ||
| return | ||
| endif | ||
| endif | ||
|
|
||
| let l:cbuffer = bufnr("%") | ||
| let s:linedict[l:cbuffer] = line('$') | ||
| let l:buflines = getbufline(l:cbuffer, 1, 1000) | ||
| let l:querydata = copy(s:querydata) | ||
| call extend(l:querydata, g:llama_overrides) | ||
| if exists("w:llama_overrides") | ||
| call extend(l:querydata, w:llama_overrides) | ||
| endif | ||
| if exists("b:llama_overrides") | ||
| call extend(l:querydata, b:llama_overrides) | ||
| endif | ||
| if l:buflines[0][0:1] == '!*' | ||
| let l:userdata = json_decode(l:buflines[0][2:-1]) | ||
| call extend(l:querydata, l:userdata) | ||
| let l:buflines = l:buflines[1:-1] | ||
| endif | ||
| let l:querydata.prompt = join(l:buflines, "\n") | ||
| let l:curlcommand = copy(s:curlcommand) | ||
| let l:curlcommand[2] = json_encode(l:querydata) | ||
| let b:job = job_start(l:curlcommand, {"callback": function("s:callbackHandler", [l:cbuffer])}) | ||
| endfunction | ||
|
|
||
| " Echos the tokkenization of the provided string , or cursor to end of word | ||
| " Onus is placed on the user to include the preceding space | ||
| func llama#tokenizeWord(...) | ||
| if (a:0 > 0) | ||
| let l:input = a:1 | ||
| else | ||
| exe "normal \"*ye" | ||
| let l:input = @* | ||
| endif | ||
| let l:querydata = {"content": l:input} | ||
| let l:curlcommand = copy(s:curlcommand) | ||
| let l:curlcommand[2] = json_encode(l:querydata) | ||
| let l:curlcommand[8] = g:llama_api_url .. "/tokenize" | ||
| let s:token_job = job_start(l:curlcommand, {"callback": function("s:tokenizeWordCallback", [l:input])}) | ||
| endfunction | ||
|
|
||
| func s:tokenizeWordCallback(plaintext, channel, msg) | ||
| echo '"' .. a:plaintext ..'" - ' .. string(json_decode(a:msg).tokens) | ||
| endfunction | ||
|
|
||
|
|
||
| " Echos the token count of the entire buffer (or provided string) | ||
| " Example usage :echo llama#tokenCount() | ||
| func llama#tokenCount(...) | ||
| if (a:0 > 0) | ||
| let l:buflines = a:1 | ||
| else | ||
| let l:buflines = getline(1,1000) | ||
| if l:buflines[0][0:1] == '!*' | ||
| let l:buflines = l:buflines[1:-1] | ||
| endif | ||
| let l:buflines = join(l:buflines, "\n") | ||
| endif | ||
| let l:querydata = {"content": l:buflines} | ||
| let l:curlcommand = copy(s:curlcommand) | ||
| let l:curlcommand[2] = json_encode(l:querydata) | ||
| let l:curlcommand[8] = g:llama_api_url .. "/tokenize" | ||
| let s:token_job = job_start(l:curlcommand, {"callback": "s:tokenCountCallback"}) | ||
| endfunction | ||
|
|
||
| func s:tokenCountCallback(channel, msg) | ||
| let resp = json_decode(a:msg) | ||
| echo len(resp.tokens) | ||
| endfunction |
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