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init total weight for adaptive p

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Concedo
2025-12-28 15:33:06 +08:00
parent ec95655f3c
commit 21d801f6d5
3 changed files with 70 additions and 37 deletions
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koboldcpp.py
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@@ -1607,6 +1607,7 @@ def generate(genparams, stream_flag=False):
smoothing_curve = tryparsefloat(genparams.get('smoothing_curve', 1.0),1.0)
adaptive_target = tryparsefloat(genparams.get('adaptive_target', -1.0),-1.0)
adaptive_decay = tryparsefloat(genparams.get('adaptive_decay', 0.9),0.9)
adaptive_decay = 0.01 if adaptive_decay < 0.01 else (0.99 if adaptive_decay > 0.99 else adaptive_decay)
if adaptive_target>0 and min_p<=0 and top_p>=1.0: #adaptive p sampler requires a truncation sampler first, force a tiny min-p
min_p = 0.002
logit_biases = genparams.get('logit_bias', {})