Safetensors
GGUF
gemma4
Merge
mergekit
roleplay
character-rp
creative writing
storytelling
conversational
low-refusal
nsfw
31B
gemma-4
Instructions to use Nimbz/Split-31B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Nimbz/Split-31B with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Nimbz/Split-31B:Q4_K_M # Run inference directly in the terminal: llama cli -hf Nimbz/Split-31B:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Nimbz/Split-31B:Q4_K_M # Run inference directly in the terminal: llama cli -hf Nimbz/Split-31B:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Nimbz/Split-31B:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Nimbz/Split-31B:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Nimbz/Split-31B:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Nimbz/Split-31B:Q4_K_M
Use Docker
docker model run hf.co/Nimbz/Split-31B:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Nimbz/Split-31B with Ollama:
ollama run hf.co/Nimbz/Split-31B:Q4_K_M
- Unsloth Desktop
- Pi
How to use Nimbz/Split-31B with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Nimbz/Split-31B:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Nimbz/Split-31B:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Nimbz/Split-31B with Docker Model Runner:
docker model run hf.co/Nimbz/Split-31B:Q4_K_M
- Lemonade
How to use Nimbz/Split-31B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Nimbz/Split-31B:Q4_K_M
Run and chat with the model
lemonade run user.Split-31B-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use Nimbz/Split-31B with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Nimbz/Split-31B:Q4_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default Nimbz/Split-31B:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Nimbz/Split-31B with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Nimbz/Split-31B:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "Nimbz/Split-31B:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Update README.md
Browse files
README.md
CHANGED
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|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
+
base_model:
|
| 4 |
+
- google/gemma-4-31B-it
|
| 5 |
+
- ReadyArt/gemma-4-31B-it-scotoma-2
|
| 6 |
+
- bgg1996/Melinoe-Gemma4-31B-VL-heretic
|
| 7 |
+
- sophosympatheia/Glistening-Gem-31B-v2.1
|
| 8 |
+
- sophosympatheia/Glistening-Gem-31B-v2.0
|
| 9 |
+
- zerofata/G4-MeroMero-v2-31B
|
| 10 |
+
- Ateron/Gemma-4-Dark-Thoughts-V2-31B
|
| 11 |
+
base_model_relation: merge
|
| 12 |
+
tags:
|
| 13 |
+
- merge
|
| 14 |
+
- mergekit
|
| 15 |
+
- roleplay
|
| 16 |
+
- character-rp
|
| 17 |
+
- creative writing
|
| 18 |
+
- storytelling
|
| 19 |
+
- conversational
|
| 20 |
+
- low-refusal
|
| 21 |
+
- nsfw
|
| 22 |
+
- 31B
|
| 23 |
+
- gemma-4
|
| 24 |
---
|
| 25 |
+
<style>
|
| 26 |
+
.sx-shell {
|
| 27 |
+
position: relative; padding: 10px; border-radius: 14px;
|
| 28 |
+
background: linear-gradient(140deg, #7dd3fc22 0%, transparent 26%, transparent 74%, #fb718522 100%), #080d16;
|
| 29 |
+
box-shadow: 0 26px 80px rgba(0,0,0,0.72);
|
| 30 |
+
}
|
| 31 |
+
.sx-main {
|
| 32 |
+
position: relative; overflow: hidden; border-radius: 10px; padding: 44px 40px 36px;
|
| 33 |
+
background-color: #060a12;
|
| 34 |
+
background-image:
|
| 35 |
+
radial-gradient(ellipse 70% 55% at 4% -6%, #7dd3fc26 0%, transparent 60%),
|
| 36 |
+
radial-gradient(ellipse 65% 50% at 96% 104%, #fb718522 0%, transparent 60%),
|
| 37 |
+
radial-gradient(ellipse 90% 60% at 50% 50%, rgba(255,255,255,0.018) 0%, transparent 70%);
|
| 38 |
+
color: #c6d0dc;
|
| 39 |
+
font-family: 'Avenir Next','Segoe UI',Roboto,Helvetica,Arial,sans-serif;
|
| 40 |
+
line-height: 1.72;
|
| 41 |
+
}
|
| 42 |
+
.sx-main::before {
|
| 43 |
+
content: ""; position: absolute; inset: 0; pointer-events: none; z-index: 1;
|
| 44 |
+
background: linear-gradient(180deg, #7dd3fc14 0%, transparent 12%, transparent 88%, #fb718512 100%);
|
| 45 |
+
}
|
| 46 |
+
|
| 47 |
+
/* ---------- hero ---------- */
|
| 48 |
+
.sx-hero { text-align: center; position: relative; z-index: 5; }
|
| 49 |
+
.sx-title {
|
| 50 |
+
font-family: 'Iowan Old Style','Palatino Linotype',Georgia,serif;
|
| 51 |
+
font-size: 3.5rem; font-weight: 400; letter-spacing: 13px; margin: 28px 0 16px;
|
| 52 |
+
background: linear-gradient(100deg, #7dd3fc 0%, #e8f2fb 52%, #fb7185 100%);
|
| 53 |
+
-webkit-background-clip: text; background-clip: text;
|
| 54 |
+
-webkit-text-fill-color: transparent; color: #e8f2fb;
|
| 55 |
+
}
|
| 56 |
+
.sx-badge {
|
| 57 |
+
display: inline-block; color: #7dd3fc; border: 1px solid #7dd3fc44;
|
| 58 |
+
background: #7dd3fc12; text-transform: uppercase; letter-spacing: 4px;
|
| 59 |
+
font-size: 0.7rem; font-weight: 600; padding: 7px 20px; border-radius: 999px;
|
| 60 |
+
}
|
| 61 |
+
.sx-tag { color: #7f8b9c; font-style: italic; font-size: 1.12rem; margin-top: 16px;
|
| 62 |
+
font-family: 'Iowan Old Style','Palatino Linotype',Georgia,serif; }
|
| 63 |
+
|
| 64 |
+
/* ---------- separators: pill on alternating sides ---------- */
|
| 65 |
+
.sx-sep { display: flex; align-items: center; gap: 18px; margin: 46px 0 8px; position: relative; z-index: 5; }
|
| 66 |
+
.sx-sep.right { flex-direction: row-reverse; }
|
| 67 |
+
.sx-sep b {
|
| 68 |
+
font-family: 'Iowan Old Style','Palatino Linotype',Georgia,serif;
|
| 69 |
+
font-weight: 400; letter-spacing: 5px; font-size: 0.9rem; text-transform: uppercase;
|
| 70 |
+
color: #eef3f9; white-space: nowrap; padding: 6px 20px; border-radius: 999px;
|
| 71 |
+
background: rgba(12,19,32,0.80); border: 1px solid #1b2740;
|
| 72 |
+
}
|
| 73 |
+
.sx-sep b em { font-style: normal; color: #7dd3fc; margin-right: 9px; }
|
| 74 |
+
.sx-sep.right b em { color: #fb7185; }
|
| 75 |
+
.sx-sep i { flex: 1; height: 1px; border: 0; }
|
| 76 |
+
.sx-sep i { background: linear-gradient(90deg, transparent, #7dd3fc55 60%, #7dd3fc88); }
|
| 77 |
+
.sx-sep.right i { background: linear-gradient(90deg, #fb718588, #fb718555 40%, transparent); }
|
| 78 |
+
|
| 79 |
+
.sx-lead { font-size: 0.95rem; color: #7f8b9c; margin: 14px 2px 2px; position: relative; z-index: 5; }
|
| 80 |
+
|
| 81 |
+
/* ---------- chips ---------- */
|
| 82 |
+
.sx-chips { display: grid; grid-template-columns: repeat(auto-fit, minmax(150px,1fr)); gap: 12px; margin: 26px 0 4px; position: relative; z-index: 5; }
|
| 83 |
+
.sx-chip {
|
| 84 |
+
padding: 15px 14px; text-align: center; border-radius: 10px;
|
| 85 |
+
background: rgba(12,19,32,0.80); border: 1px solid #1b2740;
|
| 86 |
+
font-size: 0.78rem; letter-spacing: 2px; font-weight: 600; color: #eef3f9;
|
| 87 |
+
transition: transform .2s ease, box-shadow .2s ease, border-color .2s ease;
|
| 88 |
+
}
|
| 89 |
+
.sx-chip:nth-child(odd) { border-bottom: 2px solid #7dd3fc66; }
|
| 90 |
+
.sx-chip:nth-child(even) { border-bottom: 2px solid #fb718566; }
|
| 91 |
+
.sx-chip:hover { transform: translateY(-3px); border-color: #7dd3fc88; box-shadow: 0 10px 26px rgba(0,0,0,0.5); }
|
| 92 |
+
|
| 93 |
+
/* ---------- cards: asymmetric, side-anchored ---------- */
|
| 94 |
+
.sx-card {
|
| 95 |
+
position: relative; z-index: 5; margin: 22px 0; padding: 26px 30px;
|
| 96 |
+
background: linear-gradient(145deg, rgba(14,22,38,0.90), rgba(6,10,18,0.96));
|
| 97 |
+
border: 1px solid #1b2740;
|
| 98 |
+
box-shadow: 0 12px 34px rgba(0,0,0,0.5);
|
| 99 |
+
}
|
| 100 |
+
.sx-card.L { border-left: 5px solid #7dd3fc; border-radius: 4px 20px 20px 4px; margin-right: 26px; }
|
| 101 |
+
.sx-card.R { border-right: 5px solid #fb7185; border-radius: 20px 4px 4px 20px; margin-left: 26px; }
|
| 102 |
+
.sx-card.C { border-top: 3px solid #7dd3fc88; border-radius: 16px; }
|
| 103 |
+
.sx-card h3 {
|
| 104 |
+
font-family: 'Iowan Old Style','Palatino Linotype',Georgia,serif;
|
| 105 |
+
color: #eef3f9; margin: 0 0 12px; letter-spacing: 2px; font-weight: 400; font-size: 1.14rem;
|
| 106 |
+
}
|
| 107 |
+
.sx-card p { margin: 0 0 11px; font-size: 0.93rem; }
|
| 108 |
+
.sx-card p:last-child { margin-bottom: 0; }
|
| 109 |
+
.sx-rule { border: 0; height: 1px; margin: 15px 0;
|
| 110 |
+
background: linear-gradient(90deg, #7dd3fc55, #1b2740 55%, transparent); }
|
| 111 |
+
.sx-card.R .sx-rule { background: linear-gradient(90deg, transparent, #1b2740 45%, #fb718555); }
|
| 112 |
+
|
| 113 |
+
/* phase head: medallion + title, mirrored on R cards */
|
| 114 |
+
.sx-ph { display: flex; align-items: center; gap: 20px; margin-bottom: 14px; }
|
| 115 |
+
.sx-card.R .sx-ph { flex-direction: row-reverse; text-align: right; }
|
| 116 |
+
.sx-med {
|
| 117 |
+
flex: 0 0 76px; width: 76px; height: 76px; border-radius: 50%;
|
| 118 |
+
display: flex; align-items: center; justify-content: center;
|
| 119 |
+
font-family: 'Iowan Old Style','Palatino Linotype',Georgia,serif;
|
| 120 |
+
font-size: 1.7rem; color: #eef3f9;
|
| 121 |
+
background: radial-gradient(circle at 32% 28%, #7dd3fc33, transparent 62%), rgba(12,19,32,0.80);
|
| 122 |
+
border: 1px solid #7dd3fc66; box-shadow: 0 0 26px #7dd3fc33, inset 0 0 18px rgba(0,0,0,0.5);
|
| 123 |
+
}
|
| 124 |
+
.sx-card.R .sx-med { background: radial-gradient(circle at 32% 28%, #fb718533, transparent 62%), rgba(12,19,32,0.80);
|
| 125 |
+
border-color: #fb718566; box-shadow: 0 0 26px #fb718533, inset 0 0 18px rgba(0,0,0,0.5); }
|
| 126 |
+
.sx-ph h3 { margin: 0; }
|
| 127 |
+
.sx-ph small { display: block; color: #7f8b9c; letter-spacing: 3px; font-size: 0.66rem; text-transform: uppercase; margin-top: 3px; }
|
| 128 |
+
|
| 129 |
+
/* ---------- donor rows: CSS grid, so both blocks share one column ruler ---------- */
|
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.sx-grid {
|
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+
display: grid; grid-template-columns: minmax(0,0.85fr) minmax(0,1.15fr) minmax(0,1.6fr);
|
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+
gap: 1px; background: #1b2740; border: 1px solid #1b2740; border-radius: 10px; overflow: hidden;
|
| 133 |
+
margin: 16px 0 4px; position: relative; z-index: 5; font-size: 0.87rem;
|
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+
}
|
| 135 |
+
.sx-grid > div { background: #080e19; padding: 11px 14px; color: #b4bfcd; min-width: 0; overflow-wrap: anywhere; }
|
| 136 |
+
.sx-grid > .h { background: #0c1527; color: #7dd3fc; letter-spacing: 2px; font-size: 0.66rem; text-transform: uppercase; font-weight: 600; }
|
| 137 |
+
.sx-card.R .sx-grid > .h { color: #fb7185; }
|
| 138 |
+
.sx-grid > div b { color: #eef3f9; }
|
| 139 |
+
|
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+
/* ---------- pick ---------- */
|
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+
.sx-pick { display: grid; grid-template-columns: repeat(auto-fit, minmax(260px,1fr)); gap: 18px; margin: 20px 0; position: relative; z-index: 5; }
|
| 142 |
+
.sx-opt { padding: 22px 24px; border: 1px solid #1b2740; background: rgba(12,19,32,0.80); }
|
| 143 |
+
.sx-opt.a { border-radius: 4px 20px 20px 4px; border-left: 5px solid #7dd3fc; }
|
| 144 |
+
.sx-opt.b { border-radius: 20px 4px 4px 20px; border-right: 5px solid #fb7185; }
|
| 145 |
+
.sx-opt .n { display: block; font-family: 'Iowan Old Style','Palatino Linotype',Georgia,serif; font-size: 1.12rem; letter-spacing: 2px; color: #eef3f9; }
|
| 146 |
+
.sx-opt .n a { color: #eef3f9 !important; text-decoration: none !important; }
|
| 147 |
+
.sx-opt .k { display: block; font-size: 0.64rem; letter-spacing: 3px; text-transform: uppercase; margin: 7px 0 12px; }
|
| 148 |
+
.sx-opt .d { font-size: 0.9rem; color: #7f8b9c; }
|
| 149 |
+
.sx-opt.on { box-shadow: 0 0 36px #7dd3fc33; background: linear-gradient(145deg, #7dd3fc14, rgba(12,19,32,0.80)); }
|
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+
.sx-opt.b.on { box-shadow: 0 0 36px #fb718533; background: linear-gradient(145deg, #fb718514, rgba(12,19,32,0.80)); }
|
| 151 |
+
|
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+
/* ---------- misc ---------- */
|
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+
.sx-btns { display: flex; gap: 12px; flex-wrap: wrap; margin: 14px 0 2px; position: relative; z-index: 5; }
|
| 154 |
+
.sx-btn { display: inline-block; padding: 10px 22px; border-radius: 999px; border: 1px solid #7dd3fc44; color: #7dd3fc !important; text-decoration: none !important; letter-spacing: 2px; font-size: 0.76rem; background: rgba(12,19,32,0.80); transition: transform .2s ease; }
|
| 155 |
+
.sx-btn:hover { transform: translateY(-2px); box-shadow: 0 8px 22px #7dd3fc33; }
|
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+
.sx-btn.s { border-color: #fb718544; color: #fb7185 !important; }
|
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+
.sx-kv { display: grid; grid-template-columns: minmax(0,1fr) minmax(0,1fr); gap: 1px; background: #1b2740; border: 1px solid #1b2740; border-radius: 10px; overflow: hidden; margin: 16px 0; position: relative; z-index: 5; }
|
| 158 |
+
.sx-kv > div { background: #080e19; padding: 10px 15px; font-size: 0.87rem; color: #b4bfcd; }
|
| 159 |
+
.sx-kv > .v { color: #eef3f9; font-weight: 600; }
|
| 160 |
+
.sx-kv > .h { background: #0c1527; color: #7dd3fc; letter-spacing: 2px; font-size: 0.66rem; text-transform: uppercase; }
|
| 161 |
+
.sx-det { margin: 4px 0 2px; }
|
| 162 |
+
.sx-det summary { cursor: pointer; color: #7dd3fc; letter-spacing: 2px; padding: 12px 0; font-size: 0.84rem; }
|
| 163 |
+
.sx-card.R .sx-det summary { color: #fb7185; }
|
| 164 |
+
.sx-cred ul { margin: 0; padding-left: 18px; }
|
| 165 |
+
.sx-cred li { margin-bottom: 9px; font-size: 0.9rem; }
|
| 166 |
+
.sx-foot { text-align: center; letter-spacing: 14px; margin-top: 40px; opacity: 0.45; position: relative; z-index: 5;
|
| 167 |
+
background: linear-gradient(90deg, #7dd3fc, #fb7185); -webkit-background-clip: text; background-clip: text; -webkit-text-fill-color: transparent; }
|
| 168 |
+
</style>
|
| 169 |
+
<div class="sx-shell">
|
| 170 |
+
<div class="sx-main">
|
| 171 |
+
|
| 172 |
+
<div class="sx-hero">
|
| 173 |
+
<video src="https://huggingface.co/Nimbz/Split-31B/resolve/main/split-31b-header.mp4" poster="https://huggingface.co/Nimbz/Split-31B/resolve/main/split-31b-header.png" width="100%" autoplay loop muted playsinline style="display:block;border-radius:10px;border:1px solid #7dd3fc44;box-shadow:0 0 70px #7dd3fc2e;margin:0 auto 4px;">
|
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+
<img src="https://huggingface.co/Nimbz/Split-31B/resolve/main/split-31b-header.png" width="100%" style="display:block;border-radius:10px;border:1px solid #7dd3fc44;box-shadow:0 0 70px #7dd3fc2e;margin:0 auto 4px;">
|
| 175 |
+
</video>
|
| 176 |
+
|
| 177 |
+
<h1 class="sx-title">SPLIT</h1>
|
| 178 |
+
<div class="sx-badge">31B · Gemma 4 · Merge</div>
|
| 179 |
+
<div class="sx-tag">“Remember the rules.”</div>
|
| 180 |
+
</div>
|
| 181 |
+
|
| 182 |
+
<div class="sx-chips">
|
| 183 |
+
<div class="sx-chip">FOUR MODELS</div><div class="sx-chip">TWO PHASES</div><div class="sx-chip">ONE MIND</div><div class="sx-chip">EXPERIMENTAL</div><div class="sx-chip">PROMPT ADHERENT</div><div class="sx-chip">ROLEPLAY MERGE</div>
|
| 184 |
+
</div>
|
| 185 |
+
|
| 186 |
+
<div class="sx-sep"><i></i><b><em>◖◗</em>🔵 or 🔴</b><i></i></div>
|
| 187 |
+
<div class="sx-lead">Basically the same, they share a brain, yet differ on their speaking vein.</div>
|
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+
<div class="sx-pick"><div class="sx-opt a on"><span class="n">SPLIT-31B</span><span class="k" style="color:#7dd3fc;">◖ you are here</span><span class="d">Pick this one if you want <b style="color:#eef3f9;">instruction adherence</b> for things like trackers or header and footer blocks. Expect a more structured output, and staying on track for long sessions.</span></div><div class="sx-opt b"><span class="n"><a href="https://huggingface.co/Blazed-Forge/Split-Untied-31B">SPLIT-UNTIED-31B</a></span><span class="k" style="color:#fb7185;">◗ the other head</span><span class="d">Pick this one if you want <b style="color:#eef3f9;">more creativity, a darker lean and more lewdness</b>, but only if you're ready to trade a little prompt adherence for it.</span></div></div>
|
| 189 |
+
|
| 190 |
+
<div class="sx-sep right"><i></i><b><em>⬛</em>GGUF quants</b><i></i></div>
|
| 191 |
+
<div class="sx-lead">Thank you to anyone providing quants!</div>
|
| 192 |
+
<div class="sx-btns">
|
| 193 |
+
<a class="sx-btn" href="https://huggingface.co/Nimbz/Split-31B-GGUF">STATIC</a>
|
| 194 |
+
<a class="sx-btn s" href="#">IMATRIX · SOON</a>
|
| 195 |
+
</div>
|
| 196 |
+
|
| 197 |
+
<div class="sx-sep"><i></i><b><em>☰</em>The merge</b><i></i></div>
|
| 198 |
+
<div class="sx-lead">Two <b style="color:#eef3f9;">della_linear</b> passes over <b style="color:#eef3f9;">gemma-4-31B-it</b>, on <a href="https://github.com/zerofata/mergekit/tree/gemma-4-support">zerofata’s gemma-4-support fork</a>.</div>
|
| 199 |
+
|
| 200 |
+
<div class="sx-card L"><div class="sx-ph"><div class="sx-med">I</div><div><h3>Comprehension</h3><small>Of The Residual Stream</small></div></div><p>The theory: Adjust <b>q_proj + k_proj</b> for the attention mechanism, and alter <b>gate_proj + up_proj</b> for the knowledge routing.</p><div class="sx-grid"><div class="h">Model</div><div class="h">Purpose</div><div class="h">Scope</div><div><b>Melinoe-VL-heretic</b></div><div>persona tracking, world-state stability</div><div>q/k 0.45 → 0.30 by depth · spine q/k 0.32<br>gate/up 0.28 → 0.18</div><div><b>Glistening-Gem v2.1</b></div><div>format adherence, in-character</div><div>q/k 0.14 → 0.10 · spine 0.0<br>gate/up 0.06</div><div><b>MeroMero v2</b></div><div>swipe variety</div><div>gate/up only · 0.30 · layers 6-47 minus spine</div></div>
|
| 201 |
+
<details class="sx-det"><summary>▸ Phase 1: della_linear</summary>
|
| 202 |
+
|
| 203 |
+
```yaml
|
| 204 |
+
merge_method: della_linear
|
| 205 |
+
base_model: ./google/gemma-4-31B-it
|
| 206 |
+
dtype: bfloat16
|
| 207 |
+
tokenizer_source: base
|
| 208 |
+
parameters:
|
| 209 |
+
normalize: false
|
| 210 |
+
epsilon: 0.05
|
| 211 |
+
lambda: 1.0
|
| 212 |
+
int8_mask: true
|
| 213 |
+
|
| 214 |
+
models:
|
| 215 |
+
- model: ./bgg1996/Melinoe-Gemma4-31B-VL-heretic
|
| 216 |
+
parameters:
|
| 217 |
+
density:
|
| 218 |
+
- { filter: norm, value: 1.0 }
|
| 219 |
+
- { filter: layer_scalar, value: 1.0 }
|
| 220 |
+
- { value: 0.85 }
|
| 221 |
+
weight:
|
| 222 |
+
- { filter: embed_tokens, value: 0.0 }
|
| 223 |
+
- { filter: lm_head, value: 0.0 }
|
| 224 |
+
- { filter: embed_vision, value: 0.0 }
|
| 225 |
+
- { filter: vision_tower, value: 0.0 }
|
| 226 |
+
- { filter: multi_modal_projector, value: 0.0 }
|
| 227 |
+
- { filter: model.language_model.layers.5.self_attn.q_proj, value: 0.32 }
|
| 228 |
+
- { filter: model.language_model.layers.5.self_attn.k_proj, value: 0.32 }
|
| 229 |
+
- { filter: model.language_model.layers.11.self_attn.q_proj, value: 0.32 }
|
| 230 |
+
- { filter: model.language_model.layers.11.self_attn.k_proj, value: 0.32 }
|
| 231 |
+
- { filter: model.language_model.layers.17.self_attn.q_proj, value: 0.32 }
|
| 232 |
+
- { filter: model.language_model.layers.17.self_attn.k_proj, value: 0.32 }
|
| 233 |
+
- { filter: model.language_model.layers.23.self_attn.q_proj, value: 0.32 }
|
| 234 |
+
- { filter: model.language_model.layers.23.self_attn.k_proj, value: 0.32 }
|
| 235 |
+
- { filter: model.language_model.layers.29.self_attn.q_proj, value: 0.32 }
|
| 236 |
+
- { filter: model.language_model.layers.29.self_attn.k_proj, value: 0.32 }
|
| 237 |
+
- { filter: model.language_model.layers.35.self_attn.q_proj, value: 0.32 }
|
| 238 |
+
- { filter: model.language_model.layers.35.self_attn.k_proj, value: 0.32 }
|
| 239 |
+
- { filter: model.language_model.layers.41.self_attn.q_proj, value: 0.32 }
|
| 240 |
+
- { filter: model.language_model.layers.41.self_attn.k_proj, value: 0.32 }
|
| 241 |
+
- { filter: model.language_model.layers.47.self_attn.q_proj, value: 0.32 }
|
| 242 |
+
- { filter: model.language_model.layers.47.self_attn.k_proj, value: 0.32 }
|
| 243 |
+
- { filter: model.language_model.layers.53.self_attn.q_proj, value: 0.32 }
|
| 244 |
+
- { filter: model.language_model.layers.53.self_attn.k_proj, value: 0.32 }
|
| 245 |
+
- { filter: model.language_model.layers.59.self_attn.q_proj, value: 0.32 }
|
| 246 |
+
- { filter: model.language_model.layers.59.self_attn.k_proj, value: 0.32 }
|
| 247 |
+
- { filter: model.language_model.layers.0.self_attn.q_proj, value: 0.45 }
|
| 248 |
+
- { filter: model.language_model.layers.0.self_attn.k_proj, value: 0.45 }
|
| 249 |
+
- { filter: model.language_model.layers.1.self_attn.q_proj, value: 0.45 }
|
| 250 |
+
- { filter: model.language_model.layers.1.self_attn.k_proj, value: 0.45 }
|
| 251 |
+
- { filter: model.language_model.layers.2.self_attn.q_proj, value: 0.45 }
|
| 252 |
+
- { filter: model.language_model.layers.2.self_attn.k_proj, value: 0.45 }
|
| 253 |
+
- { filter: model.language_model.layers.3.self_attn.q_proj, value: 0.45 }
|
| 254 |
+
- { filter: model.language_model.layers.3.self_attn.k_proj, value: 0.45 }
|
| 255 |
+
- { filter: model.language_model.layers.4.self_attn.q_proj, value: 0.45 }
|
| 256 |
+
- { filter: model.language_model.layers.4.self_attn.k_proj, value: 0.45 }
|
| 257 |
+
- { filter: model.language_model.layers.5.self_attn.q_proj, value: 0.45 }
|
| 258 |
+
- { filter: model.language_model.layers.5.self_attn.k_proj, value: 0.45 }
|
| 259 |
+
- { filter: model.language_model.layers.6.self_attn.q_proj, value: 0.45 }
|
| 260 |
+
- { filter: model.language_model.layers.6.self_attn.k_proj, value: 0.45 }
|
| 261 |
+
- { filter: model.language_model.layers.7.self_attn.q_proj, value: 0.45 }
|
| 262 |
+
- { filter: model.language_model.layers.7.self_attn.k_proj, value: 0.45 }
|
| 263 |
+
- { filter: model.language_model.layers.8.self_attn.q_proj, value: 0.45 }
|
| 264 |
+
- { filter: model.language_model.layers.8.self_attn.k_proj, value: 0.45 }
|
| 265 |
+
- { filter: model.language_model.layers.9.self_attn.q_proj, value: 0.45 }
|
| 266 |
+
- { filter: model.language_model.layers.9.self_attn.k_proj, value: 0.45 }
|
| 267 |
+
- { filter: model.language_model.layers.10.self_attn.q_proj, value: 0.45 }
|
| 268 |
+
- { filter: model.language_model.layers.10.self_attn.k_proj, value: 0.45 }
|
| 269 |
+
- { filter: model.language_model.layers.11.self_attn.q_proj, value: 0.45 }
|
| 270 |
+
- { filter: model.language_model.layers.11.self_attn.k_proj, value: 0.45 }
|
| 271 |
+
- { filter: model.language_model.layers.12.self_attn.q_proj, value: 0.45 }
|
| 272 |
+
- { filter: model.language_model.layers.12.self_attn.k_proj, value: 0.45 }
|
| 273 |
+
- { filter: model.language_model.layers.13.self_attn.q_proj, value: 0.45 }
|
| 274 |
+
- { filter: model.language_model.layers.13.self_attn.k_proj, value: 0.45 }
|
| 275 |
+
- { filter: model.language_model.layers.14.self_attn.q_proj, value: 0.45 }
|
| 276 |
+
- { filter: model.language_model.layers.14.self_attn.k_proj, value: 0.45 }
|
| 277 |
+
- { filter: model.language_model.layers.15.self_attn.q_proj, value: 0.45 }
|
| 278 |
+
- { filter: model.language_model.layers.15.self_attn.k_proj, value: 0.45 }
|
| 279 |
+
- { filter: model.language_model.layers.16.self_attn.q_proj, value: 0.45 }
|
| 280 |
+
- { filter: model.language_model.layers.16.self_attn.k_proj, value: 0.45 }
|
| 281 |
+
- { filter: model.language_model.layers.17.self_attn.q_proj, value: 0.45 }
|
| 282 |
+
- { filter: model.language_model.layers.17.self_attn.k_proj, value: 0.45 }
|
| 283 |
+
- { filter: model.language_model.layers.18.self_attn.q_proj, value: 0.45 }
|
| 284 |
+
- { filter: model.language_model.layers.18.self_attn.k_proj, value: 0.45 }
|
| 285 |
+
- { filter: model.language_model.layers.19.self_attn.q_proj, value: 0.45 }
|
| 286 |
+
- { filter: model.language_model.layers.19.self_attn.k_proj, value: 0.45 }
|
| 287 |
+
- { filter: model.language_model.layers.20.self_attn.q_proj, value: 0.45 }
|
| 288 |
+
- { filter: model.language_model.layers.20.self_attn.k_proj, value: 0.45 }
|
| 289 |
+
- { filter: model.language_model.layers.21.self_attn.q_proj, value: 0.45 }
|
| 290 |
+
- { filter: model.language_model.layers.21.self_attn.k_proj, value: 0.45 }
|
| 291 |
+
- { filter: model.language_model.layers.22.self_attn.q_proj, value: 0.45 }
|
| 292 |
+
- { filter: model.language_model.layers.22.self_attn.k_proj, value: 0.45 }
|
| 293 |
+
- { filter: model.language_model.layers.23.self_attn.q_proj, value: 0.45 }
|
| 294 |
+
- { filter: model.language_model.layers.23.self_attn.k_proj, value: 0.45 }
|
| 295 |
+
- { filter: model.language_model.layers.24.self_attn.q_proj, value: 0.45 }
|
| 296 |
+
- { filter: model.language_model.layers.24.self_attn.k_proj, value: 0.45 }
|
| 297 |
+
- { filter: model.language_model.layers.25.self_attn.q_proj, value: 0.45 }
|
| 298 |
+
- { filter: model.language_model.layers.25.self_attn.k_proj, value: 0.45 }
|
| 299 |
+
- { filter: model.language_model.layers.26.self_attn.q_proj, value: 0.45 }
|
| 300 |
+
- { filter: model.language_model.layers.26.self_attn.k_proj, value: 0.45 }
|
| 301 |
+
- { filter: model.language_model.layers.27.self_attn.q_proj, value: 0.45 }
|
| 302 |
+
- { filter: model.language_model.layers.27.self_attn.k_proj, value: 0.45 }
|
| 303 |
+
- { filter: model.language_model.layers.28.self_attn.q_proj, value: 0.45 }
|
| 304 |
+
- { filter: model.language_model.layers.28.self_attn.k_proj, value: 0.45 }
|
| 305 |
+
- { filter: model.language_model.layers.29.self_attn.q_proj, value: 0.45 }
|
| 306 |
+
- { filter: model.language_model.layers.29.self_attn.k_proj, value: 0.45 }
|
| 307 |
+
- { filter: model.language_model.layers.30.self_attn.q_proj, value: 0.45 }
|
| 308 |
+
- { filter: model.language_model.layers.30.self_attn.k_proj, value: 0.45 }
|
| 309 |
+
- { filter: model.language_model.layers.31.self_attn.q_proj, value: 0.45 }
|
| 310 |
+
- { filter: model.language_model.layers.31.self_attn.k_proj, value: 0.45 }
|
| 311 |
+
- { filter: model.language_model.layers.32.self_attn.q_proj, value: 0.45 }
|
| 312 |
+
- { filter: model.language_model.layers.32.self_attn.k_proj, value: 0.45 }
|
| 313 |
+
- { filter: model.language_model.layers.33.self_attn.q_proj, value: 0.45 }
|
| 314 |
+
- { filter: model.language_model.layers.33.self_attn.k_proj, value: 0.45 }
|
| 315 |
+
- { filter: model.language_model.layers.34.self_attn.q_proj, value: 0.45 }
|
| 316 |
+
- { filter: model.language_model.layers.34.self_attn.k_proj, value: 0.45 }
|
| 317 |
+
- { filter: model.language_model.layers.35.self_attn.q_proj, value: 0.45 }
|
| 318 |
+
- { filter: model.language_model.layers.35.self_attn.k_proj, value: 0.45 }
|
| 319 |
+
- { filter: model.language_model.layers.36.self_attn.q_proj, value: 0.45 }
|
| 320 |
+
- { filter: model.language_model.layers.36.self_attn.k_proj, value: 0.45 }
|
| 321 |
+
- { filter: model.language_model.layers.37.self_attn.q_proj, value: 0.45 }
|
| 322 |
+
- { filter: model.language_model.layers.37.self_attn.k_proj, value: 0.45 }
|
| 323 |
+
- { filter: model.language_model.layers.38.self_attn.q_proj, value: 0.45 }
|
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+
- { filter: model.language_model.layers.38.self_attn.k_proj, value: 0.45 }
|
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+
- { filter: model.language_model.layers.39.self_attn.q_proj, value: 0.45 }
|
| 326 |
+
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| 488 |
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|
| 489 |
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- model: ./sophosympatheia/Glistening-Gem-31B-v2.1
|
| 490 |
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parameters:
|
| 491 |
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density:
|
| 492 |
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|
| 493 |
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weight:
|
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| 527 |
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| 528 |
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| 530 |
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| 531 |
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|
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| 728 |
+
- { filter: model.language_model.layers.43.mlp.up_proj, value: 0.06 }
|
| 729 |
+
- { filter: model.language_model.layers.44.mlp.gate_proj, value: 0.06 }
|
| 730 |
+
- { filter: model.language_model.layers.44.mlp.up_proj, value: 0.06 }
|
| 731 |
+
- { filter: model.language_model.layers.45.mlp.gate_proj, value: 0.06 }
|
| 732 |
+
- { filter: model.language_model.layers.45.mlp.up_proj, value: 0.06 }
|
| 733 |
+
- { filter: model.language_model.layers.46.mlp.gate_proj, value: 0.06 }
|
| 734 |
+
- { filter: model.language_model.layers.46.mlp.up_proj, value: 0.06 }
|
| 735 |
+
- { filter: model.language_model.layers.47.mlp.gate_proj, value: 0.06 }
|
| 736 |
+
- { filter: model.language_model.layers.47.mlp.up_proj, value: 0.06 }
|
| 737 |
+
- { value: 0.0 }
|
| 738 |
+
|
| 739 |
+
- model: ./zerofata/G4-MeroMero-v2-31B
|
| 740 |
+
parameters:
|
| 741 |
+
density:
|
| 742 |
+
- { filter: norm, value: 1.0 }
|
| 743 |
+
- { filter: layer_scalar, value: 1.0 }
|
| 744 |
+
- { value: 0.60 }
|
| 745 |
+
weight:
|
| 746 |
+
- { filter: embed_tokens, value: 0.0 }
|
| 747 |
+
- { filter: lm_head, value: 0.0 }
|
| 748 |
+
- { filter: embed_vision, value: 0.0 }
|
| 749 |
+
- { filter: vision_tower, value: 0.0 }
|
| 750 |
+
- { filter: multi_modal_projector, value: 0.0 }
|
| 751 |
+
- { filter: model.language_model.layers.5., value: 0.0 }
|
| 752 |
+
- { filter: model.language_model.layers.11., value: 0.0 }
|
| 753 |
+
- { filter: model.language_model.layers.17., value: 0.0 }
|
| 754 |
+
- { filter: model.language_model.layers.23., value: 0.0 }
|
| 755 |
+
- { filter: model.language_model.layers.29., value: 0.0 }
|
| 756 |
+
- { filter: model.language_model.layers.35., value: 0.0 }
|
| 757 |
+
- { filter: model.language_model.layers.41., value: 0.0 }
|
| 758 |
+
- { filter: model.language_model.layers.47., value: 0.0 }
|
| 759 |
+
- { filter: model.language_model.layers.53., value: 0.0 }
|
| 760 |
+
- { filter: model.language_model.layers.59., value: 0.0 }
|
| 761 |
+
- { filter: model.language_model.layers.6.mlp.gate_proj, value: 0.3 }
|
| 762 |
+
- { filter: model.language_model.layers.6.mlp.up_proj, value: 0.3 }
|
| 763 |
+
- { filter: model.language_model.layers.7.mlp.gate_proj, value: 0.3 }
|
| 764 |
+
- { filter: model.language_model.layers.7.mlp.up_proj, value: 0.3 }
|
| 765 |
+
- { filter: model.language_model.layers.8.mlp.gate_proj, value: 0.3 }
|
| 766 |
+
- { filter: model.language_model.layers.8.mlp.up_proj, value: 0.3 }
|
| 767 |
+
- { filter: model.language_model.layers.9.mlp.gate_proj, value: 0.3 }
|
| 768 |
+
- { filter: model.language_model.layers.9.mlp.up_proj, value: 0.3 }
|
| 769 |
+
- { filter: model.language_model.layers.10.mlp.gate_proj, value: 0.3 }
|
| 770 |
+
- { filter: model.language_model.layers.10.mlp.up_proj, value: 0.3 }
|
| 771 |
+
- { filter: model.language_model.layers.12.mlp.gate_proj, value: 0.3 }
|
| 772 |
+
- { filter: model.language_model.layers.12.mlp.up_proj, value: 0.3 }
|
| 773 |
+
- { filter: model.language_model.layers.13.mlp.gate_proj, value: 0.3 }
|
| 774 |
+
- { filter: model.language_model.layers.13.mlp.up_proj, value: 0.3 }
|
| 775 |
+
- { filter: model.language_model.layers.14.mlp.gate_proj, value: 0.3 }
|
| 776 |
+
- { filter: model.language_model.layers.14.mlp.up_proj, value: 0.3 }
|
| 777 |
+
- { filter: model.language_model.layers.15.mlp.gate_proj, value: 0.3 }
|
| 778 |
+
- { filter: model.language_model.layers.15.mlp.up_proj, value: 0.3 }
|
| 779 |
+
- { filter: model.language_model.layers.16.mlp.gate_proj, value: 0.3 }
|
| 780 |
+
- { filter: model.language_model.layers.16.mlp.up_proj, value: 0.3 }
|
| 781 |
+
- { filter: model.language_model.layers.18.mlp.gate_proj, value: 0.3 }
|
| 782 |
+
- { filter: model.language_model.layers.18.mlp.up_proj, value: 0.3 }
|
| 783 |
+
- { filter: model.language_model.layers.19.mlp.gate_proj, value: 0.3 }
|
| 784 |
+
- { filter: model.language_model.layers.19.mlp.up_proj, value: 0.3 }
|
| 785 |
+
- { filter: model.language_model.layers.20.mlp.gate_proj, value: 0.3 }
|
| 786 |
+
- { filter: model.language_model.layers.20.mlp.up_proj, value: 0.3 }
|
| 787 |
+
- { filter: model.language_model.layers.21.mlp.gate_proj, value: 0.3 }
|
| 788 |
+
- { filter: model.language_model.layers.21.mlp.up_proj, value: 0.3 }
|
| 789 |
+
- { filter: model.language_model.layers.22.mlp.gate_proj, value: 0.3 }
|
| 790 |
+
- { filter: model.language_model.layers.22.mlp.up_proj, value: 0.3 }
|
| 791 |
+
- { filter: model.language_model.layers.24.mlp.gate_proj, value: 0.3 }
|
| 792 |
+
- { filter: model.language_model.layers.24.mlp.up_proj, value: 0.3 }
|
| 793 |
+
- { filter: model.language_model.layers.25.mlp.gate_proj, value: 0.3 }
|
| 794 |
+
- { filter: model.language_model.layers.25.mlp.up_proj, value: 0.3 }
|
| 795 |
+
- { filter: model.language_model.layers.26.mlp.gate_proj, value: 0.3 }
|
| 796 |
+
- { filter: model.language_model.layers.26.mlp.up_proj, value: 0.3 }
|
| 797 |
+
- { filter: model.language_model.layers.27.mlp.gate_proj, value: 0.3 }
|
| 798 |
+
- { filter: model.language_model.layers.27.mlp.up_proj, value: 0.3 }
|
| 799 |
+
- { filter: model.language_model.layers.28.mlp.gate_proj, value: 0.3 }
|
| 800 |
+
- { filter: model.language_model.layers.28.mlp.up_proj, value: 0.3 }
|
| 801 |
+
- { filter: model.language_model.layers.30.mlp.gate_proj, value: 0.3 }
|
| 802 |
+
- { filter: model.language_model.layers.30.mlp.up_proj, value: 0.3 }
|
| 803 |
+
- { filter: model.language_model.layers.31.mlp.gate_proj, value: 0.3 }
|
| 804 |
+
- { filter: model.language_model.layers.31.mlp.up_proj, value: 0.3 }
|
| 805 |
+
- { filter: model.language_model.layers.32.mlp.gate_proj, value: 0.3 }
|
| 806 |
+
- { filter: model.language_model.layers.32.mlp.up_proj, value: 0.3 }
|
| 807 |
+
- { filter: model.language_model.layers.33.mlp.gate_proj, value: 0.3 }
|
| 808 |
+
- { filter: model.language_model.layers.33.mlp.up_proj, value: 0.3 }
|
| 809 |
+
- { filter: model.language_model.layers.34.mlp.gate_proj, value: 0.3 }
|
| 810 |
+
- { filter: model.language_model.layers.34.mlp.up_proj, value: 0.3 }
|
| 811 |
+
- { filter: model.language_model.layers.36.mlp.gate_proj, value: 0.3 }
|
| 812 |
+
- { filter: model.language_model.layers.36.mlp.up_proj, value: 0.3 }
|
| 813 |
+
- { filter: model.language_model.layers.37.mlp.gate_proj, value: 0.3 }
|
| 814 |
+
- { filter: model.language_model.layers.37.mlp.up_proj, value: 0.3 }
|
| 815 |
+
- { filter: model.language_model.layers.38.mlp.gate_proj, value: 0.3 }
|
| 816 |
+
- { filter: model.language_model.layers.38.mlp.up_proj, value: 0.3 }
|
| 817 |
+
- { filter: model.language_model.layers.39.mlp.gate_proj, value: 0.3 }
|
| 818 |
+
- { filter: model.language_model.layers.39.mlp.up_proj, value: 0.3 }
|
| 819 |
+
- { filter: model.language_model.layers.40.mlp.gate_proj, value: 0.3 }
|
| 820 |
+
- { filter: model.language_model.layers.40.mlp.up_proj, value: 0.3 }
|
| 821 |
+
- { filter: model.language_model.layers.42.mlp.gate_proj, value: 0.3 }
|
| 822 |
+
- { filter: model.language_model.layers.42.mlp.up_proj, value: 0.3 }
|
| 823 |
+
- { filter: model.language_model.layers.43.mlp.gate_proj, value: 0.3 }
|
| 824 |
+
- { filter: model.language_model.layers.43.mlp.up_proj, value: 0.3 }
|
| 825 |
+
- { filter: model.language_model.layers.44.mlp.gate_proj, value: 0.3 }
|
| 826 |
+
- { filter: model.language_model.layers.44.mlp.up_proj, value: 0.3 }
|
| 827 |
+
- { filter: model.language_model.layers.45.mlp.gate_proj, value: 0.3 }
|
| 828 |
+
- { filter: model.language_model.layers.45.mlp.up_proj, value: 0.3 }
|
| 829 |
+
- { filter: model.language_model.layers.46.mlp.gate_proj, value: 0.3 }
|
| 830 |
+
- { filter: model.language_model.layers.46.mlp.up_proj, value: 0.3 }
|
| 831 |
+
- { value: 0.0 }
|
| 832 |
+
```
|
| 833 |
+
|
| 834 |
+
</details>
|
| 835 |
+
</div><div class="sx-card R"><div class="sx-ph"><div class="sx-med">II</div><div><h3>Voice</h3><small>Of The Residual Stream</small></div></div><p>If that also checks out, then <b>v_proj</b> steers the expression of what q/k came up with, and <b>o_proj + mlp.down_proj</b> are the layers that coordinate how the output should be written.</p><div class="sx-grid"><div class="h">Model</div><div class="h">Purpose</div><div class="h">Scope</div><div><b>scotoma-2</b></div><div>Anti-Gemma tics</div><div>weight 1.0 · density 1.0 · layers 7-41<br>alone on 7-11</div><div><b>Dark-Thoughts V2</b></div><div>darker lean, less sanitizing</div><div>v/o/down · 0.50 (24-47) → 0.30 (48-53)</div><div><b>Glistening-Gem v2.0</b></div><div>self-repetition, coherence</div><div>v/o/down · 0.22 · layers 12-41</div><div><b>Melinoe-VL-heretic</b></div><div>willingness</div><div>v/o/down · 0.30 · layers 42-53</div></div>
|
| 836 |
+
<details class="sx-det"><summary>▸ Phase 2: della_linear</summary>
|
| 837 |
+
|
| 838 |
+
```yaml
|
| 839 |
+
merge_method: della_linear
|
| 840 |
+
base_model: ./Split-31B-read
|
| 841 |
+
dtype: bfloat16
|
| 842 |
+
tokenizer_source: base
|
| 843 |
+
parameters:
|
| 844 |
+
normalize: false
|
| 845 |
+
epsilon: 0.05
|
| 846 |
+
lambda: 1.0
|
| 847 |
+
int8_mask: true
|
| 848 |
+
|
| 849 |
+
models:
|
| 850 |
+
- model: ./ReadyArt/gemma-4-31B-it-scotoma-2
|
| 851 |
+
parameters:
|
| 852 |
+
density:
|
| 853 |
+
- { filter: norm, value: 1.0 }
|
| 854 |
+
- { filter: layer_scalar, value: 1.0 }
|
| 855 |
+
- { value: 1.0 }
|
| 856 |
+
weight:
|
| 857 |
+
- { filter: embed_tokens, value: 0.0 }
|
| 858 |
+
- { filter: lm_head, value: 0.0 }
|
| 859 |
+
- { filter: embed_vision, value: 0.0 }
|
| 860 |
+
- { filter: vision_tower, value: 0.0 }
|
| 861 |
+
- { filter: multi_modal_projector, value: 0.0 }
|
| 862 |
+
- { filter: model.language_model.layers.7.self_attn.o_proj, value: 1.0 }
|
| 863 |
+
- { filter: model.language_model.layers.7.mlp.down_proj, value: 1.0 }
|
| 864 |
+
- { filter: model.language_model.layers.8.self_attn.o_proj, value: 1.0 }
|
| 865 |
+
- { filter: model.language_model.layers.8.mlp.down_proj, value: 1.0 }
|
| 866 |
+
- { filter: model.language_model.layers.9.self_attn.o_proj, value: 1.0 }
|
| 867 |
+
- { filter: model.language_model.layers.9.mlp.down_proj, value: 1.0 }
|
| 868 |
+
- { filter: model.language_model.layers.10.self_attn.o_proj, value: 1.0 }
|
| 869 |
+
- { filter: model.language_model.layers.10.mlp.down_proj, value: 1.0 }
|
| 870 |
+
- { filter: model.language_model.layers.11.self_attn.o_proj, value: 1.0 }
|
| 871 |
+
- { filter: model.language_model.layers.11.mlp.down_proj, value: 1.0 }
|
| 872 |
+
- { filter: model.language_model.layers.12.self_attn.o_proj, value: 1.0 }
|
| 873 |
+
- { filter: model.language_model.layers.12.mlp.down_proj, value: 1.0 }
|
| 874 |
+
- { filter: model.language_model.layers.13.self_attn.o_proj, value: 1.0 }
|
| 875 |
+
- { filter: model.language_model.layers.13.mlp.down_proj, value: 1.0 }
|
| 876 |
+
- { filter: model.language_model.layers.14.self_attn.o_proj, value: 1.0 }
|
| 877 |
+
- { filter: model.language_model.layers.14.mlp.down_proj, value: 1.0 }
|
| 878 |
+
- { filter: model.language_model.layers.15.self_attn.o_proj, value: 1.0 }
|
| 879 |
+
- { filter: model.language_model.layers.15.mlp.down_proj, value: 1.0 }
|
| 880 |
+
- { filter: model.language_model.layers.16.self_attn.o_proj, value: 1.0 }
|
| 881 |
+
- { filter: model.language_model.layers.16.mlp.down_proj, value: 1.0 }
|
| 882 |
+
- { filter: model.language_model.layers.17.self_attn.o_proj, value: 1.0 }
|
| 883 |
+
- { filter: model.language_model.layers.17.mlp.down_proj, value: 1.0 }
|
| 884 |
+
- { filter: model.language_model.layers.18.self_attn.o_proj, value: 1.0 }
|
| 885 |
+
- { filter: model.language_model.layers.18.mlp.down_proj, value: 1.0 }
|
| 886 |
+
- { filter: model.language_model.layers.19.self_attn.o_proj, value: 1.0 }
|
| 887 |
+
- { filter: model.language_model.layers.19.mlp.down_proj, value: 1.0 }
|
| 888 |
+
- { filter: model.language_model.layers.20.self_attn.o_proj, value: 1.0 }
|
| 889 |
+
- { filter: model.language_model.layers.20.mlp.down_proj, value: 1.0 }
|
| 890 |
+
- { filter: model.language_model.layers.21.self_attn.o_proj, value: 1.0 }
|
| 891 |
+
- { filter: model.language_model.layers.21.mlp.down_proj, value: 1.0 }
|
| 892 |
+
- { filter: model.language_model.layers.22.self_attn.o_proj, value: 1.0 }
|
| 893 |
+
- { filter: model.language_model.layers.22.mlp.down_proj, value: 1.0 }
|
| 894 |
+
- { filter: model.language_model.layers.23.self_attn.o_proj, value: 1.0 }
|
| 895 |
+
- { filter: model.language_model.layers.23.mlp.down_proj, value: 1.0 }
|
| 896 |
+
- { filter: model.language_model.layers.24.self_attn.o_proj, value: 1.0 }
|
| 897 |
+
- { filter: model.language_model.layers.24.mlp.down_proj, value: 1.0 }
|
| 898 |
+
- { filter: model.language_model.layers.25.self_attn.o_proj, value: 1.0 }
|
| 899 |
+
- { filter: model.language_model.layers.25.mlp.down_proj, value: 1.0 }
|
| 900 |
+
- { filter: model.language_model.layers.26.self_attn.o_proj, value: 1.0 }
|
| 901 |
+
- { filter: model.language_model.layers.26.mlp.down_proj, value: 1.0 }
|
| 902 |
+
- { filter: model.language_model.layers.27.self_attn.o_proj, value: 1.0 }
|
| 903 |
+
- { filter: model.language_model.layers.27.mlp.down_proj, value: 1.0 }
|
| 904 |
+
- { filter: model.language_model.layers.28.self_attn.o_proj, value: 1.0 }
|
| 905 |
+
- { filter: model.language_model.layers.28.mlp.down_proj, value: 1.0 }
|
| 906 |
+
- { filter: model.language_model.layers.29.self_attn.o_proj, value: 1.0 }
|
| 907 |
+
- { filter: model.language_model.layers.29.mlp.down_proj, value: 1.0 }
|
| 908 |
+
- { filter: model.language_model.layers.30.self_attn.o_proj, value: 1.0 }
|
| 909 |
+
- { filter: model.language_model.layers.30.mlp.down_proj, value: 1.0 }
|
| 910 |
+
- { filter: model.language_model.layers.31.self_attn.o_proj, value: 1.0 }
|
| 911 |
+
- { filter: model.language_model.layers.31.mlp.down_proj, value: 1.0 }
|
| 912 |
+
- { filter: model.language_model.layers.32.self_attn.o_proj, value: 1.0 }
|
| 913 |
+
- { filter: model.language_model.layers.32.mlp.down_proj, value: 1.0 }
|
| 914 |
+
- { filter: model.language_model.layers.33.self_attn.o_proj, value: 1.0 }
|
| 915 |
+
- { filter: model.language_model.layers.33.mlp.down_proj, value: 1.0 }
|
| 916 |
+
- { filter: model.language_model.layers.34.self_attn.o_proj, value: 1.0 }
|
| 917 |
+
- { filter: model.language_model.layers.34.mlp.down_proj, value: 1.0 }
|
| 918 |
+
- { filter: model.language_model.layers.35.self_attn.o_proj, value: 1.0 }
|
| 919 |
+
- { filter: model.language_model.layers.35.mlp.down_proj, value: 1.0 }
|
| 920 |
+
- { filter: model.language_model.layers.36.self_attn.o_proj, value: 1.0 }
|
| 921 |
+
- { filter: model.language_model.layers.36.mlp.down_proj, value: 1.0 }
|
| 922 |
+
- { filter: model.language_model.layers.37.self_attn.o_proj, value: 1.0 }
|
| 923 |
+
- { filter: model.language_model.layers.37.mlp.down_proj, value: 1.0 }
|
| 924 |
+
- { filter: model.language_model.layers.38.self_attn.o_proj, value: 1.0 }
|
| 925 |
+
- { filter: model.language_model.layers.38.mlp.down_proj, value: 1.0 }
|
| 926 |
+
- { filter: model.language_model.layers.39.self_attn.o_proj, value: 1.0 }
|
| 927 |
+
- { filter: model.language_model.layers.39.mlp.down_proj, value: 1.0 }
|
| 928 |
+
- { filter: model.language_model.layers.40.self_attn.o_proj, value: 1.0 }
|
| 929 |
+
- { filter: model.language_model.layers.40.mlp.down_proj, value: 1.0 }
|
| 930 |
+
- { filter: model.language_model.layers.41.self_attn.o_proj, value: 1.0 }
|
| 931 |
+
- { filter: model.language_model.layers.41.mlp.down_proj, value: 1.0 }
|
| 932 |
+
- { value: 0.0 }
|
| 933 |
+
|
| 934 |
+
- model: ./Ateron/Gemma-4-Dark-Thoughts-V2-31B
|
| 935 |
+
parameters:
|
| 936 |
+
density:
|
| 937 |
+
- { filter: norm, value: 1.0 }
|
| 938 |
+
- { filter: layer_scalar, value: 1.0 }
|
| 939 |
+
- { value: 0.75 }
|
| 940 |
+
weight:
|
| 941 |
+
- { filter: embed_tokens, value: 0.0 }
|
| 942 |
+
- { filter: lm_head, value: 0.0 }
|
| 943 |
+
- { filter: embed_vision, value: 0.0 }
|
| 944 |
+
- { filter: vision_tower, value: 0.0 }
|
| 945 |
+
- { filter: multi_modal_projector, value: 0.0 }
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- { filter: model.language_model.layers.44.self_attn.v_proj, value: 0.3 }
|
| 1151 |
+
- { filter: model.language_model.layers.44.self_attn.o_proj, value: 0.3 }
|
| 1152 |
+
- { filter: model.language_model.layers.44.mlp.down_proj, value: 0.3 }
|
| 1153 |
+
- { filter: model.language_model.layers.45.self_attn.v_proj, value: 0.3 }
|
| 1154 |
+
- { filter: model.language_model.layers.45.self_attn.o_proj, value: 0.3 }
|
| 1155 |
+
- { filter: model.language_model.layers.45.mlp.down_proj, value: 0.3 }
|
| 1156 |
+
- { filter: model.language_model.layers.46.self_attn.v_proj, value: 0.3 }
|
| 1157 |
+
- { filter: model.language_model.layers.46.self_attn.o_proj, value: 0.3 }
|
| 1158 |
+
- { filter: model.language_model.layers.46.mlp.down_proj, value: 0.3 }
|
| 1159 |
+
- { filter: model.language_model.layers.47.self_attn.o_proj, value: 0.3 }
|
| 1160 |
+
- { filter: model.language_model.layers.47.mlp.down_proj, value: 0.3 }
|
| 1161 |
+
- { filter: model.language_model.layers.48.self_attn.v_proj, value: 0.3 }
|
| 1162 |
+
- { filter: model.language_model.layers.48.self_attn.o_proj, value: 0.3 }
|
| 1163 |
+
- { filter: model.language_model.layers.48.mlp.down_proj, value: 0.3 }
|
| 1164 |
+
- { filter: model.language_model.layers.49.self_attn.v_proj, value: 0.3 }
|
| 1165 |
+
- { filter: model.language_model.layers.49.self_attn.o_proj, value: 0.3 }
|
| 1166 |
+
- { filter: model.language_model.layers.49.mlp.down_proj, value: 0.3 }
|
| 1167 |
+
- { filter: model.language_model.layers.50.self_attn.v_proj, value: 0.3 }
|
| 1168 |
+
- { filter: model.language_model.layers.50.self_attn.o_proj, value: 0.3 }
|
| 1169 |
+
- { filter: model.language_model.layers.50.mlp.down_proj, value: 0.3 }
|
| 1170 |
+
- { filter: model.language_model.layers.51.self_attn.v_proj, value: 0.3 }
|
| 1171 |
+
- { filter: model.language_model.layers.51.self_attn.o_proj, value: 0.3 }
|
| 1172 |
+
- { filter: model.language_model.layers.51.mlp.down_proj, value: 0.3 }
|
| 1173 |
+
- { filter: model.language_model.layers.52.self_attn.v_proj, value: 0.3 }
|
| 1174 |
+
- { filter: model.language_model.layers.52.self_attn.o_proj, value: 0.3 }
|
| 1175 |
+
- { filter: model.language_model.layers.52.mlp.down_proj, value: 0.3 }
|
| 1176 |
+
- { filter: model.language_model.layers.53.self_attn.o_proj, value: 0.3 }
|
| 1177 |
+
- { filter: model.language_model.layers.53.mlp.down_proj, value: 0.3 }
|
| 1178 |
+
- { value: 0.0 }
|
| 1179 |
+
```
|
| 1180 |
+
|
| 1181 |
+
</details>
|
| 1182 |
+
</div>
|
| 1183 |
+
<div class="sx-card C"><h3>◆ Afterthought</h3><p><b style="color:#eef3f9;">You can't stump over scotoma-2.</b> Checking benchmarks like caliperbench objectively, almost none of the merges beat their best parent when it comes to adjective and adverb density. So, instead of just blending scotoma-2 in again, I compared the delta of it's layers to the base model and gave it a weight of 1.0 over those. No idea if that survived contact with the actual prose on the long run, though.</p><hr class="sx-rule"><p><b style="color:#eef3f9;">Samplers and Thinking.</b> Samplers are... yeah, they are. I give you a serving suggestion below, but go with whatever works for you. Thinking also works, but some people always report that thinking breaks for some merges, while it doesn't for others, so I still don't know if it's truly merge, front-end or even back-end related. So; just assume it's a no-think model if it breaks for you and we're good.</p></div>
|
| 1184 |
+
|
| 1185 |
+
<div class="sx-sep right"><i></i><b><em>☰</em>Samplers</b><i></i></div>
|
| 1186 |
+
<div class="sx-kv">
|
| 1187 |
+
<div class="h">Setting</div><div class="h">Value</div>
|
| 1188 |
+
<div>Temperature</div><div class="v">0.9</div>
|
| 1189 |
+
<div>Min-P</div><div class="v">0.05</div>
|
| 1190 |
+
<div>Top-K / Top-P</div><div class="v">off / 1.0</div>
|
| 1191 |
+
<div>Repetition penalty</div><div class="v">off</div>
|
| 1192 |
+
<div>DRY multiplier</div><div class="v">0.8</div>
|
| 1193 |
+
</div>
|
| 1194 |
+
|
| 1195 |
+
<div class="sx-sep"><i></i><b><em>◖◗</em>Usage Like Always</b><i></i></div>
|
| 1196 |
+
<div class="sx-card L">
|
| 1197 |
+
<p>◆ <b style="color:#eef3f9;">Thinking.</b> Put <b><|think|></b> at the start of the system prompt, or let your front-end handle the Gemma 4 template. Reasoning gives better recall capability, but you might lose a bit on ERP pacing.</p>
|
| 1198 |
+
<hr class="sx-rule">
|
| 1199 |
+
<p>◆ <b style="color:#eef3f9;">Give it a scene.</b> A sophisticated card will always get more nuanced output of this model than a few lines, just saying.</p>
|
| 1200 |
+
</div>
|
| 1201 |
+
|
| 1202 |
+
<div class="sx-sep right"><i></i><b><em>◖◗</em>Thankus Maximus</b><i></i></div>
|
| 1203 |
+
<div class="sx-card R sx-cred">
|
| 1204 |
+
<ul>
|
| 1205 |
+
<li><b style="color:#eef3f9;"><a href="https://huggingface.co/AesSedai">AesSedai</a> / <a href="https://huggingface.co/ReadyArt">ReadyArt</a>:</b> scotoma-2 is just a banger, and you know it Aes.</li>
|
| 1206 |
+
<li><b style="color:#eef3f9;"><a href="https://huggingface.co/bgg1996">bgg1996</a>:</b> Melinoe-VL-heretic, doing two different jobs here on two different tensor families, cool thing.</li>
|
| 1207 |
+
<li><b style="color:#eef3f9;"><a href="https://huggingface.co/sophosympatheia">sophosympatheia</a>:</b> Glistening-Gem v2.0 and v2.1, kind of being the glue here.</li>
|
| 1208 |
+
<li><b style="color:#eef3f9;"><a href="https://huggingface.co/zerofata">zerofata</a>:</b> MeroMero v2, and the mergekit fork obviously, your tunes going into anything should also speak for itself.</li>
|
| 1209 |
+
<li><b style="color:#eef3f9;"><a href="https://huggingface.co/Ateron">Ateron</a>:</b> Dark-Thoughts V2. The rat guy that cursed me with the habit of merging. Thank you Mr. Rat, this was a good one.</li>
|
| 1210 |
+
<li><b style="color:#eef3f9;"><a href="https://huggingface.co/Gryphe">Gryphe</a>:</b> for the untied head.</li>
|
| 1211 |
+
<li><b style="color:#eef3f9;"><a href="https://huggingface.co/arcee-ai">Charles Goddard/ArceeAI</a>:</b> For the mergekit and its continuation.</li>
|
| 1212 |
+
<li><b style="color:#eef3f9;"><a href="https://www.reddit.com/r/BeaverAI/">The BeaverAI community</a>:</b> for the feedback that once again lead to actually shaping this one significantly.</li>
|
| 1213 |
+
<li><b style="color:#eef3f9;">Google DeepMind & the open-source community:</b> for the base model and everything that ended up inside this merge.</li>
|
| 1214 |
+
</ul>
|
| 1215 |
+
</div>
|
| 1216 |
+
|
| 1217 |
+
<div class="sx-foot">◖ · ◗</div>
|
| 1218 |
+
|
| 1219 |
+
</div>
|
| 1220 |
+
</div>
|