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docs(char-rp-reasoning): Deckard samplers dvalin-confirmed canonical + tuning ladder

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dvalin confirmed the live A/B-proven set IS canonical for Deckard as a dark-RP reasoning seat:
temp 1.0/top_p 0.95/top_k 40/min_p 0.05, no presence/rep penalty, DRY 0.8 server-side. Endorsed
over the card's base-thinking (top_k 20/min_p 0/presence 1.5). No value change; comment + memory
record the confirmation + tuning ladder (flat->min_p 0.08, loops->DRY 0.9, over-damped->DRY 0.6/off).
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vh
2026-07-08 15:44:33 -07:00
parent 41305bf62c
commit 4954ca0831
2 changed files with 9 additions and 5 deletions
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stacks/litellm/conf/config.yaml
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@@ -178,8 +178,10 @@ model_list:
# clean prose, budget-capped. DRY server-side (sampler order = dry after temperature) tames looping.
# A/B WINNER 2026-07-08: 0/30 loops + 0/30 refusals; beat RpR-v4 (1/30 loop, forbids DRY),
# Pantheon-27B (7/30 explicit refusals), Snowdrop + Gembrain (llama.cpp template-incompat).
# Deckard decode: temp 1.0, top_p 0.95, top_k 40, min_p 0.05. NOT the same model as char-rp
# (best-of-breed per seat) — see stacks/char-rp-gguf/README.md.
# Deckard decode: temp 1.0, top_p 0.95, top_k 40, min_p 0.05 (dvalin-CONFIRMED canonical 2026-07-08;
# NO presence/rep penalty; DRY 0.8 server-side). Tuning ladder: flat prose→min_p 0.08, loops→DRY 0.9,
# over-damped→DRY 0.6/off. Do NOT import RpR/QwQ sampler rules (different family). NOT the same model as
# char-rp (best-of-breed per seat) — see stacks/char-rp-gguf/README.md.
- model_name: char-rp-reasoning
litellm_params:
model: hosted_vllm/deckard-pkd-27b