AliceThirty/G4-Alice-v1.2-31B-gguf overview

---

datasets:

• zerofata/Instruct-Anime
• zerofata/Gemini-3.1-Pro-GLM5-Characters
• zerofata/Gemini-3.1-Pro-SmallWiki

base_model:

• AliceThirty/G4-Alice-v1.2-31B

pipeline_tag: text-generation

license: apache-2.0

---

<style>

.gs {

--bg: #f7faff;

--surface: #ffffff;

--edge: #dce6f2;

--rule: #c8d8ea;

--text: #3a4a5c;

--dim: #7a8fa3;

--bright: #1a2a3a;

--azure: #4da6ff;

--orange: #f59e0b; / Replaced --crimson with --orange /

--az-glow: rgba(77,166,255,0.08);

--or-glow: rgba(245,158,11,0.06); / Replaced --cr-glow /

--mono: 'JetBrains Mono', monospace;

--sans: 'Inter', sans-serif;

font-family: var(--sans);

color: var(--text);

max-width: 900px;

margin: 0 auto;

padding: 0 0 60px;

line-height: 1.7;

font-size: 1rem;

background:

radial-gradient(ellipse at 50% 0%, rgba(77,166,255,0.06) 0%, transparent 50%),

radial-gradient(ellipse at 50% 100%, rgba(245,158,11,0.04) 0%, transparent 50%), / Updated to orange RGB /

var(--bg);

}

/ ── Profile Card ── /

.gs-profile {

border-bottom: none;

position: relative;

background: var(--surface);

margin-bottom: 0;

}

.gs-profile-art {

position: relative;

}

.gs-profile-art img {

display: block;

width: 100%;

height: 380px;

object-fit: cover;

object-position: center 20%;

margin-top: 0px;

}

.gs-ident {

position: absolute;

bottom: 0;

left: 0;

right: 0;

padding: 120px 44px 28px;

background: linear-gradient(

to top,

rgba(15,23,42,0.85) 0%,

rgba(15,23,42,0.5) 50%,

transparent 100%

);

}

.gs-name {

font-family: var(--sans);

font-size: 3.2rem;

font-weight: 900;

color: #ffffff;

letter-spacing: 0.06em;

line-height: 1;

margin: 0 0 10px;

text-shadow: 0 2px 12px rgba(0,0,0,0.3);

overflow-wrap: break-word;

}

.gs-base {

font-family: var(--mono);

font-size: 0.68rem;

color: var(--orange);

letter-spacing: 0.14em;

text-transform: uppercase;

display: block;

}

/ ── Sections ── /

.gs-section {

padding: 0;

}

.gs-shead {

position: relative;

display: flex;

align-items: center;

gap: 14px;

padding: 16px 44px 14px;

margin-bottom: 28px;

border-top: 2px solid;

border-image: linear-gradient(90deg, var(--orange), var(--azure)) 1;

}

.gs-snum {

font-family: var(--mono);

font-size: 2.2rem;

font-weight: 900;

color: var(--orange);

letter-spacing: 0.06em;

opacity: 0.12;

position: absolute;

right: 44px;

top: 50%;

transform: translateY(-50%);

line-height: 1;

}

.gs-stitle {

font-size: 1.05rem;

font-weight: 700;

letter-spacing: 0.1em;

text-transform: uppercase;

color: var(--bright);

}

.gs-stitle::before {

content: '\2726';

color: var(--orange);

font-size: 0.8em;

margin-right: 8px;

}

.gs-sbody {

padding: 0 44px 44px;

}

.gs-sbody p {

margin: 0 0 14px;

font-size: 0.95rem;

}

.gs-sbody p:last-child { margin-bottom: 0; }

/ ── Data panels ── /

.gs-stack {

display: grid;

grid-template-columns: 1fr 1fr;

gap: 16px;

}

.gs-panel {

border: 1px solid var(--edge);

border-left: 3px solid var(--orange);

position: relative;

background: var(--surface);

box-shadow: 0 2px 12px rgba(77,166,255,0.06);

}

.gs-panel::before {

content: '';

position: absolute;

top: -1px;

right: -1px;

width: 10px;

height: 10px;

border-top: 1px solid var(--orange);

border-right: 1px solid var(--orange);

opacity: 0.4;

}

.gs-panel::after {

content: '';

position: absolute;

bottom: -1px;

right: -1px;

width: 10px;

height: 10px;

border-bottom: 1px solid var(--azure);

border-right: 1px solid var(--azure);

opacity: 0.3;

}

.gs-panel-head {

font-family: var(--mono);

font-size: 0.68rem;

font-weight: 700;

letter-spacing: 0.14em;

text-transform: uppercase;

color: var(--dim);

padding: 10px 16px;

border-bottom: 1px solid var(--edge);

}

.gs-panel-head::after {

content: ' \2726';

color: var(--orange);

opacity: 0.5;

}

.gs-row {

display: grid;

grid-template-columns: 21ch 1fr;

align-items: baseline;

column-gap: 4px;

padding: 9px 16px;

border-bottom: 1px solid var(--edge);

font-size: 0.9rem;

}

.gs-row:last-child { border-bottom: none; }

.gs-key {

font-family: var(--mono);

font-size: 0.9rem;

color: var(--dim);

}

.gs-key::after {

content: ':';

}

.gs-val {

color: var(--bright);

font-size: 0.9rem;

}

/ ── Journal (Creation Process) ── /

.gs-section--journal .gs-sbody {

margin: 0 44px;

padding: 24px 32px 32px;

background: var(--surface);

border: 1px solid var(--edge);

border-left: 4px solid var(--azure);

position: relative;

margin-bottom: 0;

}

.gs-section--journal .gs-sbody::before {

content: '';

position: absolute;

top: -1px;

right: -1px;

width: 12px;

height: 12px;

border-top: 1px solid var(--azure);

border-right: 1px solid var(--azure);

opacity: 0.3;

}

.gs-section--journal .gs-sbody::after {

content: '';

position: absolute;

bottom: -1px;

left: -1px;

width: 12px;

height: 12px;

border-bottom: 1px solid var(--orange);

border-left: 1px solid var(--orange);

opacity: 0.3;

}

.gs-section--journal .gs-sbody p:first-child {

font-style: italic;

color: var(--bright);

}

/ ── Links ── /

.gs a {

color: var(--bright);

text-decoration: none;

border-bottom: 1px solid var(--rule);

}

.gs a:hover { color: var(--orange); border-bottom-color: var(--orange); }

</style>

<div class="gs">

<div class="gs-profile">

<div class="gs-profile-art">

<img src="https://cdn-uploads.huggingface.co/production/uploads/63283c7ecbc744f197047b4a/GAtenTb9TMG_2BjO7Em7J.png" alt="Alice Avatar">

<div class="gs-ident">

<h1 class="gs-name">Alice v1.2</h1>

<span class="gs-base">Serenity 31B Finetune</span>

</div>

</div>

</div>

<div class="gs-section">

<div class="gs-shead">

<span class="gs-snum">01</span>

<span class="gs-stitle">Overview</span>

</div>

<div class="gs-sbody">

<p>A roleplay finetune based on <a href="https://huggingface.co/ReadyArt/Serenity-31B">Serenity</a> (which I declare is the horniest model ever made), trained on the same dataset than <a href="https://huggingface.co/zerofata/G4-MeroMero-31B">MeroMero</a>.</p>

<p>There was a bug in version 1.0 which trained both the assistant and the user's turns. Now it's fixed, and there is an even lower learning rate.</p>

<p><u><b>v1.2 has reasoning restored.</b></u> I trained the model to always open a thinking block. And it works damn well. I didn't train the model to reason for this specific task though, but it's already impressive.</p>

<p>If you prefer a model without reasoning for faster replies, try v1.1.</p>

<p></p>

<p>Please tell me what you think. Is it clever? Creative? Does it have a good long term memory? Is it uninhibited? Sloppy? Good writing? Follows instructions? Stays in character? It's my first fine-tune, so any feedback is welcome!</p>

</div>

</div>

<div class="gs-section">

<div class="gs-shead">

<span class="gs-snum">02</span>

<span class="gs-stitle">Recommended Settings</span>

</div>

<div class="gs-sbody">

<div class="gs-stack">

<div class="gs-panel">

<div class="gs-panel-head">Samplers</div>

<div class="gs-row"><span class="gs-key">temperature</span><span class="gs-val">0.8 - 1.2</span></div>

<div class="gs-row"><span class="gs-key">min_p</span><span class="gs-val">0.05</span></div>

</div>

<div class="gs-panel">

<div class="gs-panel-head">Tokens</div>

<div class="gs-row"><span class="gs-key">skip_special_tokens</span><span class="gs-val">false</span></div>

</div>

</div>

</div>

</div>

<div class="gs-section gs-section--journal">

<div class="gs-shead">

<span class="gs-snum">03</span>

<span class="gs-stitle">Creation Process</span>

</div>

<div class="gs-sbody">

<p>The fine tune was done on a single rtx 5090 thanks to unsloth.</p>

<p>Trained with a lora rank of 80, for one epoch, and a low learning rate (7e-6) not to override Serenity.</p>

</div>

</div>

</div>