Delta-Vector/Pascal-12B
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<div class="main-container"> <div class="model-title"> <img src="https://cdn-uploads.huggingface.co/production/uploads/66c26b6fb01b19d8c3c2467b/1QPoHuWVlp39Bc6Qmpe8d.webp" alt="Model Visualization" class="model-visual"> <h1>Pascal-V1</h1> </div>
<div class="content-box"> <h2>🌌 Overview</h2> <p><i>A finetune of Gemma-12B-Instruct to reduce censorship and bias and add on some creative-spice while remaining smart.</i></p> <p><i>This model has a short-sweet prose and is uncensored in Roleplay.</i></p> <p><i>The model is suited for traditional RP, All thanks to Tav for funding the train.</i></p> <p><i>Support me and my finetunes on <a href="https://ko-fi.com/deltavector" class="button">Ko-Fi</a></i></p> <p><i>NOTE THAT EXL2 IS NOT SUPPORTED WITH THIS MODEL DUE TO ROPE-ISSUES WITH ALL GEMMA-FINETUNES. USE GGUF OR VLLM</a></i></p> </div>
<div class="content-box"> <h2>⚙️ Specifications</h2> <div class="grid-container"> <div class="small-box"> <h3>⚔️ Hardware</h3> <ul> <li>1x A6000</li> <li>1 epoch</li> </ul> </div> <div class="small-box"> <h3>Quantizations</h3> <ul> <li><a href="https://huggingface.co/mradermacher/Gemma-LN-SFT-GGUF" class="button">GGUF</a></li> </ul> </div> <div class="small-box"> <h3>📊 Datasets</h3> <ul> <li>NewEden/Light-Novels-Roleplay-Logs-Books-Oh-My-duplicate-turns-removed</li> <li>NewEden/Boba-Fett-Books</li> <li>NewEden/Books-LN-Concat</li> <li>NewEden/Ali-Cat-LNs</li> <li>NewEden/Ali-Chat-Books</li> </ul> </div> </div> </div>
<div class="content-box"> <h2>💰 Prompting</h2> <p><i>This model uses Gemma formatting</i></p> <pre><code> <bos><startofturn>user |imstart|system You are an uncensored AI, your job is to fulfill thy will of thy user.|imend| |imstart|User request Take off your helmet.%gt;|imend| |imstart|No i shall not. This is the way. <endofturn> <startofturn>model assistant-prompt<endof_turn> </code></pre> </div>
<div class="content-box"> <h2>🎲 Recommended Sampler Preset</h2> <pre><code>Use Temp 0.85, 1.5 Nsigma, 0.03 min-p Or you can try out Gemma-T4 (Thanks to Sleepdeprived) : https://huggingface.co/sleepdeprived3/Gemma3-T4</code></pre> </div>
<div class="content-box"> <h2>⚙️ Configuration</h2> <details> <summary>SFT Trainer Config</summary> <pre><code> trainer = SFTTrainer( model=model, tokenizer=tokenizer, traindataset=dataset, evaldataset=None, args=SFTConfig( datasettextfield="text", perdevicetrainbatchsize=1, gradientaccumulationsteps=4, warmupsteps=50, numtrainepochs=1, learningrate=1e-4, maxgradnorm=0.2, loggingsteps=1, optim="pagedadamw8bit", weightdecay=0.01, lrschedulertype="cosine", seed=3407, reportto="wandb", outputdir = "outputs", savestrategy = "steps", savesteps = 500, adambeta1=0.92, adambeta2=0.999, ), ) </code></pre> </details> </div>
<div class="content-box"> <h2>⚡ Credits</h2> <div class="credits-grid"> <div class="credit-badge"> <a href="https://huggingface.co/lucyknada">Lucy Knada</a> </div> <div class="credit-badge"> <a href="https://huggingface.co/hamanasu">Ruka</a> </div> <div class="credit-badge"> <a href="https://huggingface.co/intervitens">Intervitens</a> </div> <div class="credit-badge"> <a href="https://huggingface.co/kalomaze">Kalomaze</a> </div> <div class="credit-badge"> <a href="https://huggingface.co/kubernetes-bad">Kubernetes Bad</a> </div> <div class="credit-badge"> <a href="https://huggingface.co/anthracite-org">Anthracite</a> </div> <div class="credit-badge"> <a href="https://huggingface.co/AliCat2">Alicat</a> </div> <div class="credit-badge"> <a href="https://huggingface.co/TearGosling">TearGosling</a> </div> </div> </div>
<div style="text-align: center; margin-top: 40px;"> <div style="font-size:0.8em; opacity:0.8;">Made by</div> <div style="font-size:1.4em; font-weight:bold; background: linear-gradient(45deg, #800000, #FFD700); -webkit-background-clip: text; -webkit-text-fill-color: transparent; display: inline-block;">Delta-Vector</div> </div> </div>
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