Scarlet-Eclipse-12B is a model merged using a custom method — it merges Vortex5/Crimson-Twilight-12B and Vortex5/Harmony-Bird-12B, with Vortex5/LunaMaid-12B as a base.
Instructions to use Vortex5/Scarlet-Eclipse-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vortex5/Scarlet-Eclipse-12B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Vortex5/Scarlet-Eclipse-12B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Vortex5/Scarlet-Eclipse-12B") model = AutoModelForCausalLM.from_pretrained("Vortex5/Scarlet-Eclipse-12B") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Vortex5/Scarlet-Eclipse-12B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Vortex5/Scarlet-Eclipse-12B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Vortex5/Scarlet-Eclipse-12B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Vortex5/Scarlet-Eclipse-12B
- SGLang
How to use Vortex5/Scarlet-Eclipse-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/Scarlet-Eclipse-12B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Vortex5/Scarlet-Eclipse-12B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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/Scarlet-Eclipse-12B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Vortex5/Scarlet-Eclipse-12B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Vortex5/Scarlet-Eclipse-12B with Docker Model Runner:
docker model run hf.co/Vortex5/Scarlet-Eclipse-12B
Scarlet Eclipse — 12B
01 // OVERVIEW
02 // MERGE CONFIGURATION
Custom Merge Method:
03 // INTENDED USE
🖋️ Storytelling • 🌒 Roleplay • 🔥 For deeper, evocative scenes
04 // CREDITS
- Team Mradermacher — Static & imatrix quants
- DeathGodlike — EXL3 quants
- Original creators and model authors
- Downloads last month
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