Instructions to use Vortex5/Abyssal-Seraph-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Vortex5/Abyssal-Seraph-12B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Vortex5/Abyssal-Seraph-12B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Vortex5/Abyssal-Seraph-12B")
model = AutoModelForCausalLM.from_pretrained("Vortex5/Abyssal-Seraph-12B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Vortex5/Abyssal-Seraph-12B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Vortex5/Abyssal-Seraph-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/Abyssal-Seraph-12B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Vortex5/Abyssal-Seraph-12B

SGLang

How to use Vortex5/Abyssal-Seraph-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/Abyssal-Seraph-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/Abyssal-Seraph-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/Abyssal-Seraph-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/Abyssal-Seraph-12B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Vortex5/Abyssal-Seraph-12B with Docker Model Runner:
```
docker model run hf.co/Vortex5/Abyssal-Seraph-12B
```

Vortex5 commited on Oct 18, 2025

Commit

9e64215

verified ·

1 Parent(s): fcd65aa

Update README.md

Browse files

Files changed (1) hide show

README.md +14 -12

README.md CHANGED Viewed

@@ -1,15 +1,15 @@
----
-base_model:
-- Vortex5/LunaMaid-12B
-- Vortex5/Vermilion-Sage-12B
-- inflatebot/MN-12B-Mag-Mell-R1
-- Vortex5/Dark-Quill-12B
-library_name: transformers
-tags:
-- mergekit
-- merge
-- roleplay
----
 ![ComfyUI_00165_](https://cdn-uploads.huggingface.co/production/uploads/6669a3a617b838fda45637b8/6mPbbLD1oPf2297ZW3gpP.png)
 # 🌌 **Abyssal-Seraph-12B**
@@ -94,6 +94,7 @@ dtype: bfloat16`
 To geometrically fuse both for coherence.
 <details>
 <summary><b>Final Merge Configuration</b></summary>
   ```yaml
 models:
   - model: First
@@ -107,6 +108,7 @@ tokenizer:
   source: First
 ```
 </details>
 ## 🌑🜂 **Acknowledgements** 🜂🌑
 - ⚙️ **mradermacher** — for *static* and *imatrix quantization*
 - 🜛 **DeathGodlike** — for  *EXL3 quants*

+---
+base_model:
+- Vortex5/LunaMaid-12B
+- Vortex5/Vermilion-Sage-12B
+- inflatebot/MN-12B-Mag-Mell-R1
+- Vortex5/Dark-Quill-12B
+library_name: transformers
+tags:
+- mergekit
+- merge
+- roleplay
+---
 ![ComfyUI_00165_](https://cdn-uploads.huggingface.co/production/uploads/6669a3a617b838fda45637b8/6mPbbLD1oPf2297ZW3gpP.png)
 # 🌌 **Abyssal-Seraph-12B**
 To geometrically fuse both for coherence.
 <details>
 <summary><b>Final Merge Configuration</b></summary>
   ```yaml
 models:
   - model: First
   source: First
 ```
 </details>
 ## 🌑🜂 **Acknowledgements** 🜂🌑
 - ⚙️ **mradermacher** — for *static* and *imatrix quantization*
 - 🜛 **DeathGodlike** — for  *EXL3 quants*