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adjust lite default port, disable double BOS warning, whisper and SD go quiet when horde mode is set too

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Concedo 2024-06-13 15:10:35 +08:00
parent 92bbebb357
commit 49e4c3fd7b
3 changed files with 12 additions and 12 deletions
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2
klite.embd
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@ -3732,7 +3732,7 @@ Current version: 146
var temp_scenario = null;
var last_token_budget = ""; //to display token limits
var last_known_filename = "saved_story.json";
var localmodeport = 5000;
var localmodeport = 5001;
var localmodehost = "localhost";
var sublocalpathname = "";
var localmodekey = "";

6
koboldcpp.py
View file

@ -599,7 +599,7 @@ def sd_generate(genparams):
height = tryparseint(genparams.get("height", 512))
seed = tryparseint(genparams.get("seed", -1))
sample_method = genparams.get("sampler_name", "k_euler_a")
is_quiet = True if args.quiet else False
is_quiet = True if (args.quiet or args.debugmode == -1) else False
clip_skip = tryparseint(genparams.get("clip_skip", -1))
#clean vars
@ -656,7 +656,7 @@ def whisper_load_model(model_filename):
def whisper_generate(genparams):
global args
is_quiet = True if args.quiet else False
is_quiet = True if (args.quiet or args.debugmode == -1) else False
prompt = genparams.get("prompt", "")
audio_data = genparams.get("audio_data", "")
if audio_data.startswith("data:audio"):
@ -672,7 +672,7 @@ def whisper_generate(genparams):
return outstr
def utfprint(str):
maxlen = 20000
maxlen = 25000
strlength = len(str)
if strlength > maxlen: #limit max output len
str = str[:maxlen] + f"... (+{strlength-maxlen} chars)"

16
llama.cpp
View file

@ -13781,10 +13781,10 @@ static std::vector<llama_vocab::id> llama_tokenize_internal(const llama_vocab &
}
if (add_special && vocab.special_add_bos != 0 && output.size() >= 2 && output[1] == vocab.special_bos_id) {
LLAMA_LOG_WARN(
"%s: Added a BOS token to the prompt as specified by the model but the prompt "
"also starts with a BOS token. So now the final prompt starts with 2 BOS tokens. "
"Are you sure this is what you want?\n", __FUNCTION__);
// LLAMA_LOG_WARN(
// "%s: Added a BOS token to the prompt as specified by the model but the prompt "
// "also starts with a BOS token. So now the final prompt starts with 2 BOS tokens. "
// "Are you sure this is what you want?\n", __FUNCTION__);
}
if (add_special && vocab.special_add_eos == 1) {
@ -13824,10 +13824,10 @@ static std::vector<llama_vocab::id> llama_tokenize_internal(const llama_vocab &
}
if (add_special && vocab.special_add_bos != 0 && output.size() >= 2 && output[1] == vocab.special_bos_id) {
LLAMA_LOG_WARN(
"%s: Added a BOS token to the prompt as specified by the model but the prompt "
"also starts with a BOS token. So now the final prompt starts with 2 BOS tokens. "
"Are you sure this is what you want?\n", __FUNCTION__);
// LLAMA_LOG_WARN(
// "%s: Added a BOS token to the prompt as specified by the model but the prompt "
// "also starts with a BOS token. So now the final prompt starts with 2 BOS tokens. "
// "Are you sure this is what you want?\n", __FUNCTION__);
}
if (add_special && vocab.special_add_eos == 1) {