Text Generation
Transformers
Safetensors
mistral
mergekit
Merge
roleplay
conversational
text-generation-inference
Instructions to use Vortex5/Vermilion-Night-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vortex5/Vermilion-Night-12B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Vortex5/Vermilion-Night-12B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Vortex5/Vermilion-Night-12B") model = AutoModelForMultimodalLM.from_pretrained("Vortex5/Vermilion-Night-12B") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Vortex5/Vermilion-Night-12B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Vortex5/Vermilion-Night-12B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Vortex5/Vermilion-Night-12B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Vortex5/Vermilion-Night-12B
- SGLang
How to use Vortex5/Vermilion-Night-12B with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Vortex5/Vermilion-Night-12B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Vortex5/Vermilion-Night-12B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Vortex5/Vermilion-Night-12B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Vortex5/Vermilion-Night-12B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Vortex5/Vermilion-Night-12B with Docker Model Runner:
docker model run hf.co/Vortex5/Vermilion-Night-12B
Update README.md
Browse files
README.md
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tags:
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- mergekit
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- merge
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---
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the ecf merge method.
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### Models Merged
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The following models were included in the merge:
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* [Vortex5/Starry-Shadow-12B](https://huggingface.co/Vortex5/Starry-Shadow-12B)
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* [Vortex5/MegaMoon-Karcher-12B](https://huggingface.co/Vortex5/MegaMoon-Karcher-12B)
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* [Vortex5/Vermilion-Sage-12B](https://huggingface.co/Vortex5/Vermilion-Sage-12B)
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models:
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- model: Vortex5/Vermilion-Sage-12B
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- model: Vortex5/MegaMoon-Karcher-12B
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@@ -46,5 +47,302 @@ parameters:
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dtype: bfloat16
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tokenizer:
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source: Vortex5/Starry-Shadow-12B
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-
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tags:
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- mergekit
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- merge
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+
- roleplay
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---
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<section class="card-container">
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<div class="card-header">
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<h1 class="card-title">Vermilion-Night-12B</h1>
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</div>
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<div class="card-image-box">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6669a3a617b838fda45637b8/1QeIAvW7DebKtDQrt3aS7.png">
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</div>
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<div class="card-divider"></div>
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<section class="card-section">
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<h2 class="section-title">Overview</h2>
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<p>
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<strong class="text-accent">Vermilion-Night-12B</strong> was created by merging
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<a href="https://huggingface.co/Vortex5/Vermilion-Sage-12B" class="text-link">Vermilion-Sage-12B</a>,
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<a href="https://huggingface.co/Vortex5/MegaMoon-Karcher-12B" class="text-link">MegaMoon-Karcher-12B</a>, and
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<a href="https://huggingface.co/Vortex5/Starry-Shadow-12B" class="text-link">Starry-Shadow-12B</a> using a custom method.
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</p>
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<details class="card-details">
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<summary><span>Merge configuration</span></summary>
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<pre>
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models:
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- model: Vortex5/Vermilion-Sage-12B
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- model: Vortex5/MegaMoon-Karcher-12B
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dtype: bfloat16
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tokenizer:
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source: Vortex5/Starry-Shadow-12B
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</pre>
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</details>
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</section>
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<section class="card-section">
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<h2 class="section-title">Intended Use</h2>
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<p class="section-intro">
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For storycraft, roleplay, and imagination.
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</p>
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<div class="tag-row">
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<div class="tag-item">
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<span class="tag-icon">📜</span>
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<span class="tag-text-main">Storytelling</span>
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<span class="tag-text-sub">Epics from the void</span>
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</div>
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<div class="tag-item">
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<span class="tag-icon">🎭</span>
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<span class="tag-text-main">Roleplay</span>
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<span class="tag-text-sub">Brooding, vivid personas</span>
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</div>
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<div class="tag-item">
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<span class="tag-icon">🌘</span>
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<span class="tag-text-main">Creative Writing</span>
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<span class="tag-text-sub">Scenes in dusk and neon</span>
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</div>
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</div>
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</section>
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<div class="card-footer-divider"></div>
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</section>
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<style>
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.card-container {
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--ink: #f5edff;
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--ink-soft: #c4b6ff;
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--crimson: #b47cff;
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--crimson-soft: #5b2f91;
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--platinum: #faf5ff;
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--border-soft: #2e2144;
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max-width: 1120px;
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margin: 56px auto;
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padding: 40px 40px 44px;
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border-radius: 24px;
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background: #000;
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border: 1px solid var(--border-soft);
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font-family: system-ui, -apple-system, BlinkMacSystemFont, "SF Pro Text", "Inter", sans-serif;
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color: var(--ink);
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box-shadow:
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0 0 0 1px rgba(180, 124, 255, 0.12),
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0 24px 60px rgba(0, 0, 0, 0.85),
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0 0 80px rgba(114, 73, 196, 0.55);
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display: flex;
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flex-direction: column;
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gap: 40px;
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}
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.card-header {
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text-align: center;
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padding-bottom: 12px;
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border-bottom: 1px solid rgba(196, 182, 255, 0.18);
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}
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.card-title {
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margin: 0;
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font-family: "SF Pro Display", system-ui, sans-serif;
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font-weight: 600;
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font-size: clamp(1.9rem, 3vw, 2.4rem);
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letter-spacing: 0.14em;
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text-transform: uppercase;
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color: var(--platinum);
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text-shadow:
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0 0 14px rgba(180, 124, 255, 0.6),
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0 0 32px rgba(0, 0, 0, 0.9);
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}
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.card-image-box {
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width: 100%;
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display: flex;
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justify-content: center;
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}
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.card-image-box img {
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display: block;
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width: 100%;
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max-width: 920px;
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border-radius: 14px;
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box-shadow:
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inset 0 0 0 2px rgba(244, 235, 255, 0.09),
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0 0 24px rgba(0, 0, 0, 0.9),
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0 0 64px rgba(160, 102, 255, 0.65);
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}
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.card-divider,
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.card-footer-divider {
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height: 1px;
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margin-top: 8px;
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width: 100%;
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background: #000;
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}
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.card-section {
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position: relative;
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border-radius: 18px;
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padding: 28px 26px 30px;
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background: #000;
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border: 1px solid rgba(144, 112, 230, 0.4);
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}
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.card-section::before {
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content: "";
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position: absolute;
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inset: 16px 18px;
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border-radius: 14px;
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border: 1px solid rgba(244, 235, 255, 0.04);
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pointer-events: none;
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}
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.section-title {
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margin: 0 0 32px;
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font-family: "Orbitron", sans-serif;
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font-size: clamp(2rem, 3vw, 2.6rem);
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font-weight: 700;
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letter-spacing: 0.22em;
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text-transform: uppercase;
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color: #cfc0ff;
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display: inline-block;
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border-left: 3px solid #6b4abc;
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border-right: 3px solid #6b4abc;
|
| 186 |
+
padding: 0 22px;
|
| 187 |
+
}
|
| 188 |
+
|
| 189 |
+
.section-intro {
|
| 190 |
+
margin-top: 4px;
|
| 191 |
+
margin-bottom: 18px;
|
| 192 |
+
font-size: 0.96rem;
|
| 193 |
+
color: rgba(223, 210, 255, 0.8);
|
| 194 |
+
}
|
| 195 |
+
|
| 196 |
+
.card-section p {
|
| 197 |
+
max-width: 880px;
|
| 198 |
+
margin: 12px 0 6px 0;
|
| 199 |
+
font-size: 1.02rem;
|
| 200 |
+
line-height: 1.75;
|
| 201 |
+
color: rgba(244, 236, 255, 0.9);
|
| 202 |
+
text-align: left;
|
| 203 |
+
}
|
| 204 |
+
|
| 205 |
+
.text-accent {
|
| 206 |
+
color: var(--crimson);
|
| 207 |
+
font-weight: 600;
|
| 208 |
+
text-shadow: 0 0 10px rgba(180, 124, 255, 0.85);
|
| 209 |
+
}
|
| 210 |
+
|
| 211 |
+
.text-link {
|
| 212 |
+
color: #d0b3ff;
|
| 213 |
+
border-bottom: 1px solid rgba(208, 179, 255, 0.45);
|
| 214 |
+
}
|
| 215 |
+
|
| 216 |
+
.text-link:hover {
|
| 217 |
+
color: #f5edff;
|
| 218 |
+
border-bottom-color: rgba(245, 237, 255, 0.9);
|
| 219 |
+
}
|
| 220 |
+
|
| 221 |
+
.card-details {
|
| 222 |
+
display: block;
|
| 223 |
+
margin-top: 20px;
|
| 224 |
+
border-radius: 12px;
|
| 225 |
+
border: 1px solid rgba(123, 96, 198, 0.7);
|
| 226 |
+
background: #000;
|
| 227 |
+
}
|
| 228 |
+
|
| 229 |
+
.card-details summary {
|
| 230 |
+
list-style: none;
|
| 231 |
+
cursor: pointer;
|
| 232 |
+
display: grid;
|
| 233 |
+
grid-template-columns: 1fr auto;
|
| 234 |
+
align-items: center;
|
| 235 |
+
padding: 12px 16px;
|
| 236 |
+
font-family: "JetBrains Mono", ui-monospace, monospace;
|
| 237 |
+
font-size: 0.8rem;
|
| 238 |
+
letter-spacing: 0.18em;
|
| 239 |
+
text-transform: uppercase;
|
| 240 |
+
|
| 241 |
+
color: rgba(233, 223, 255, 0.9);
|
| 242 |
+
background: #000;
|
| 243 |
+
}
|
| 244 |
+
|
| 245 |
+
.card-details summary::-webkit-details-marker {
|
| 246 |
+
display: none;
|
| 247 |
+
}
|
| 248 |
+
|
| 249 |
+
.card-details summary::after {
|
| 250 |
+
content: "";
|
| 251 |
+
width: 9px;
|
| 252 |
+
height: 9px;
|
| 253 |
+
border-right: 2px solid #b47cff;
|
| 254 |
+
border-bottom: 2px solid #b47cff;
|
| 255 |
+
transform: rotate(-45deg);
|
| 256 |
+
justify-self: end;
|
| 257 |
+
margin-left: 10px;
|
| 258 |
+
|
| 259 |
+
transition:
|
| 260 |
+
transform 0.2s ease,
|
| 261 |
+
border-color 0.2s ease,
|
| 262 |
+
opacity 0.2s ease;
|
| 263 |
+
opacity: 0.9;
|
| 264 |
+
}
|
| 265 |
+
|
| 266 |
+
.card-details[open] summary::after {
|
| 267 |
+
transform: rotate(45deg);
|
| 268 |
+
border-right-color: #e0c6ff;
|
| 269 |
+
border-bottom-color: #e0c6ff;
|
| 270 |
+
opacity: 1;
|
| 271 |
+
}
|
| 272 |
+
|
| 273 |
+
.card-details pre {
|
| 274 |
+
margin: 0;
|
| 275 |
+
padding: 16px 18px 18px;
|
| 276 |
+
font-family: "JetBrains Mono", ui-monospace, monospace;
|
| 277 |
+
font-size: 0.84rem;
|
| 278 |
+
line-height: 1.6;
|
| 279 |
+
color: rgba(234, 225, 255, 0.95);
|
| 280 |
+
text-align: left;
|
| 281 |
+
background: #000;
|
| 282 |
+
border-top: 1px solid rgba(140, 112, 210, 0.7);
|
| 283 |
+
overflow-x: auto;
|
| 284 |
+
}
|
| 285 |
+
|
| 286 |
+
.tag-row {
|
| 287 |
+
display: grid;
|
| 288 |
+
grid-template-columns: repeat(3, minmax(0, 1fr));
|
| 289 |
+
gap: 12px;
|
| 290 |
+
margin-top: 8px;
|
| 291 |
+
}
|
| 292 |
+
|
| 293 |
+
.tag-item {
|
| 294 |
+
display: grid;
|
| 295 |
+
grid-template-columns: auto 1fr;
|
| 296 |
+
grid-template-rows: auto auto;
|
| 297 |
+
gap: 2px 8px;
|
| 298 |
+
align-items: center;
|
| 299 |
+
padding: 12px 12px;
|
| 300 |
+
border-radius: 12px;
|
| 301 |
+
|
| 302 |
+
background: #000;
|
| 303 |
+
border: 1px solid rgba(132, 104, 214, 0.7);
|
| 304 |
+
box-shadow:
|
| 305 |
+
0 0 0 1px rgba(0, 0, 0, 0.5),
|
| 306 |
+
0 10px 22px rgba(0, 0, 0, 0.8);
|
| 307 |
+
}
|
| 308 |
+
|
| 309 |
+
.tag-icon {
|
| 310 |
+
grid-row: 1 / span 2;
|
| 311 |
+
font-size: 1.1rem;
|
| 312 |
+
align-self: start;
|
| 313 |
+
}
|
| 314 |
+
|
| 315 |
+
.tag-text-main {
|
| 316 |
+
font-size: 0.9rem;
|
| 317 |
+
font-weight: 600;
|
| 318 |
+
letter-spacing: 0.12em;
|
| 319 |
+
text-transform: uppercase;
|
| 320 |
+
color: var(--ink-soft);
|
| 321 |
+
}
|
| 322 |
+
|
| 323 |
+
.tag-text-sub {
|
| 324 |
+
font-size: 0.86rem;
|
| 325 |
+
color: rgba(224, 213, 255, 0.82);
|
| 326 |
+
}
|
| 327 |
+
|
| 328 |
+
@media (max-width: 900px) {
|
| 329 |
+
.card-container {
|
| 330 |
+
padding: 32px 22px 36px;
|
| 331 |
+
}
|
| 332 |
+
.tag-row {
|
| 333 |
+
grid-template-columns: 1fr;
|
| 334 |
+
}
|
| 335 |
+
}
|
| 336 |
|
| 337 |
+
@media (max-width: 600px) {
|
| 338 |
+
.card-section {
|
| 339 |
+
padding: 22px 18px 24px;
|
| 340 |
+
}
|
| 341 |
+
.card-section::before {
|
| 342 |
+
inset: 12px 12px;
|
| 343 |
+
}
|
| 344 |
+
.card-title {
|
| 345 |
+
font-size: 2rem;
|
| 346 |
+
}
|
| 347 |
+
}
|
| 348 |
+
</style>
|